From 03bac57733a2c19d0884b91f920340c5fe8e2777 Mon Sep 17 00:00:00 2001 From: dustinvannoy-db Date: Thu, 31 Aug 2023 09:05:41 -0700 Subject: [PATCH 1/6] Add LARGEFILE to creation mode options --- src/hyperleaup/creation_mode.py | 1 + 1 file changed, 1 insertion(+) diff --git a/src/hyperleaup/creation_mode.py b/src/hyperleaup/creation_mode.py index 10b1f4e..4837665 100644 --- a/src/hyperleaup/creation_mode.py +++ b/src/hyperleaup/creation_mode.py @@ -5,3 +5,4 @@ class CreationMode(Enum): INSERT = "INSERT" COPY = "COPY" PARQUET = "PARQUET" + LARGEFILE = "LARGEFILE" From 0a5759746c5d34d8ba16723f8dfca1ed06e7f038 Mon Sep 17 00:00:00 2001 From: dustinvannoy-db Date: Thu, 31 Aug 2023 10:12:08 -0700 Subject: [PATCH 2/6] Add largefile handling to creator --- src/hyperleaup/creator.py | 72 ++++++++++++++++++++++++++++++++++++--- 1 file changed, 68 insertions(+), 4 deletions(-) diff --git a/src/hyperleaup/creator.py b/src/hyperleaup/creator.py index 378f566..d53d7bc 100644 --- a/src/hyperleaup/creator.py +++ b/src/hyperleaup/creator.py @@ -10,7 +10,7 @@ from tableauhyperapi import SqlType, TableDefinition, NULLABLE, NOT_NULLABLE, TableName, HyperProcess, Telemetry, \ Inserter, Connection, CreateMode from pathlib import Path - +from databricks.sdk.runtime import * def clean_dataframe(df: DataFrame, allow_nulls=False, convert_decimal_precision=False) -> DataFrame: """Replaces null or NaN values with '' and 0s""" @@ -242,15 +242,13 @@ def write_parquet_to_local_file_system(df: DataFrame, name: str, allow_nulls: bo def write_parquet_to_dbfs(df: DataFrame, name: str, allow_nulls = False, convert_decimal_precision = False) -> str: - """Moves a Parquet file written to a Databricks Filesystem to a temp directory on the driver node.""" + """Writes and moves a single Parquet file written to a Databricks Filesystem to a temp directory on the driver node.""" tmp_dir = f"/tmp/hyperleaup/{name}/" cleaned_df = clean_dataframe(df, allow_nulls, convert_decimal_precision) # write the DataFrame to DBFS as a single Parquet file cleaned_df.coalesce(1).write \ - .option("delimiter", ",") \ - .option("header", "true") \ .mode("overwrite").parquet(tmp_dir) dbfs_tmp_dir = "/dbfs" + tmp_dir @@ -274,6 +272,58 @@ def write_parquet_to_dbfs(df: DataFrame, name: str, allow_nulls = False, convert return dest_path +def write_parquet_multifile_to_dbfs(df: DataFrame, name: str, allow_nulls = False, convert_decimal_precision = False) -> str: + """For improved performance for large datasets, writes and moves multiple Parquet files written to a Databricks Filesystem + to a temp directory on the driver node.""" + tmp_dir = f"/tmp/hyperleaup/{name}/" + + cleaned_df = clean_dataframe(df, allow_nulls, convert_decimal_precision) + + # write the DataFrame to DBFS as a single Parquet file + cleaned_df.write \ + .mode("overwrite").parquet(tmp_dir) + + # Prepare location for hyper file + if not os.path.exists(tmp_dir): + os.makedirs(tmp_dir) + + dbfs_tmp_dir = "/dbfs" + tmp_dir + files = dbutils.fs.ls(tmp_dir) + if files is None: + raise FileNotFoundError(f"Parquet path '{tmp_dir}' not found on DBFS.") + + parquet_files = [] + for item in files: + print(item) + if item.name.endswith(".parquet"): + parquet_files.append(item.name) + src_path = dbfs_tmp_dir + item.name + dest_path = tmp_dir + item.name + copyfile(src_path, dest_path) + + return [f"'{tmp_dir}/{parquet_file}'" for parquet_file in parquet_files] + + +def copy_parquet_array_to_hyper_file(parquet_paths: list[str], name: str, table_def: TableDefinition) -> str: + """Helper function that copies data from a Parquet file to a .hyper file.""" + hyper_database_path = f"/tmp/hyperleaup/{name}/{name}.hyper" + + with HyperProcess(telemetry=Telemetry.DO_NOT_SEND_USAGE_DATA_TO_TABLEAU) as hp: + with Connection(endpoint=hp.endpoint, + database=Path(hyper_database_path), + create_mode=CreateMode.CREATE_AND_REPLACE) as connection: + + connection.catalog.create_schema(schema=table_def.table_name.schema_name) + connection.catalog.create_table(table_definition=table_def) + + array_parquet_path = f"ARRAY[{','.join(parquet_paths)}]" + + copy_command = f"COPY \"Extract\".\"Extract\" from {array_parquet_path} with (format parquet)" + count = connection.execute_command(copy_command) + logging.info(f"Copied {count} rows.") + + return hyper_database_path + class Creator: def __init__(self, df: DataFrame, name: str, @@ -346,6 +396,20 @@ def create(self) -> str: logging.info("Copying data into Hyper File...") database_path = copy_parquet_to_hyper_file(parquet_path, self.name, table_def) + elif self.creation_mode.upper() == CreationMode.LARGEFILE.value: + + # Write Spark DataFrame to Parquet so that a file COPY can be done + logging.info("Writing Spark DataFrame to multiple Parquet files...") + parquet_paths = write_parquet_multifile_to_dbfs(self.df, self.name, self.config.allow_nulls, self.config.convert_decimal_precision) + + # Convert the Spark DataFrame schema to a Tableau `TableDefinition` + logging.info("Generating Tableau Table Definition...") + table_def = get_table_def(self.df, "Extract", "Extract", self.config.timestamp_with_timezone) + + # COPY data into a Tableau .hyper file + logging.info("Copying data into Hyper File...") + database_path = copy_parquet_array_to_hyper_file(parquet_paths, self.name, table_def) + else: raise ValueError(f'Invalid "creation_mode" specified: {self.creation_mode}') From 4bc622766f5978498aaf7e191a77be806f45ccc4 Mon Sep 17 00:00:00 2001 From: dustinvannoy-db Date: Thu, 31 Aug 2023 20:53:45 +0000 Subject: [PATCH 3/6] Add test for largefile creation mode --- src/hyperleaup/creator.py | 1 - tests/test_creator.py | 24 ++++++++++++++++++++++++ 2 files changed, 24 insertions(+), 1 deletion(-) diff --git a/src/hyperleaup/creator.py b/src/hyperleaup/creator.py index d53d7bc..c4b57ae 100644 --- a/src/hyperleaup/creator.py +++ b/src/hyperleaup/creator.py @@ -294,7 +294,6 @@ def write_parquet_multifile_to_dbfs(df: DataFrame, name: str, allow_nulls = Fals parquet_files = [] for item in files: - print(item) if item.name.endswith(".parquet"): parquet_files.append(item.name) src_path = dbfs_tmp_dir + item.name diff --git a/tests/test_creator.py b/tests/test_creator.py index 4941a13..35ff0cc 100644 --- a/tests/test_creator.py +++ b/tests/test_creator.py @@ -206,3 +206,27 @@ def test_create_with_options(self, is_dbfs_enabled=False): assert(len(tables) == 1) num_rows = TestUtils.get_row_count("Extract", "Extract", "/tmp/hyperleaup/employees2/employees2.hyper") assert(num_rows == 5) + + def test_create_largefile(self, is_dbfs_enabled=False): + + data = [ + (1001, "Jane", "Doe", "2000-05-01", 29.0, False), + (1002, "John", "Doe", "1988-05-03", 33.0, False), + (2201, "Elonzo", "Smith", "1990-05-03", 21.0, True), + (2202, None, None, "1980-05-03", 45.0, False), # Add a few nulls + (2235, "", "", "1980-05-03", 43.0, True) + + ] + df = get_spark_session().createDataFrame(data, ["id", "first_name", "last_name", "dob", "age", "is_temp"]) + + hf_config = HyperFileConfig(timestamp_with_timezone=True, allow_nulls=True, convert_decimal_precision=True) + + creator = Creator(df=df, name='employees3', is_dbfs_enabled=is_dbfs_enabled, + creation_mode="LARGEFILE", config=hf_config) + hyper_file_path = creator.create() + + assert(hyper_file_path == "/tmp/hyperleaup/employees3/employees3.hyper") + tables = TestUtils.get_tables("Extract", "/tmp/hyperleaup/employees3/employees3.hyper") + assert(len(tables) == 1) + num_rows = TestUtils.get_row_count("Extract", "Extract", "/tmp/hyperleaup/employees3/employees3.hyper") + assert(num_rows == 5) From 27da0b21e2a7304cc5d4eacfd459d5857e207d8a Mon Sep 17 00:00:00 2001 From: dustinvannoy-db Date: Thu, 31 Aug 2023 14:02:06 -0700 Subject: [PATCH 4/6] Update version, README, and examples. --- README.md | 20 +- demo/Hyperleaup-Demo.dbc | Bin 4089 -> 4263 bytes demo/Hyperleaup-Demo.ipynb | 549 ++++++++++++++++++ dist/hyperleaup-0.1.1.tar.gz | Bin 980573 -> 0 bytes ....whl => hyperleaup-0.1.2-py3-none-any.whl} | Bin 16646 -> 17243 bytes dist/hyperleaup-0.1.2.tar.gz | Bin 0 -> 983824 bytes pyproject.toml | 2 +- 7 files changed, 569 insertions(+), 2 deletions(-) create mode 100644 demo/Hyperleaup-Demo.ipynb delete mode 100644 dist/hyperleaup-0.1.1.tar.gz rename dist/{hyperleaup-0.1.1-py3-none-any.whl => hyperleaup-0.1.2-py3-none-any.whl} (53%) create mode 100644 dist/hyperleaup-0.1.2.tar.gz diff --git a/README.md b/README.md index d7b0015..d4b1f90 100644 --- a/README.md +++ b/README.md @@ -21,7 +21,11 @@ Apache Spark + Tableau Hyper API: or even incorporate it as a final step in an ETL pipeline, e.g. refresh data extract with latest CDC. ## Getting Started -A list of usage examples is available in the `demo` folder of this repo as a [Databricks Notebook Archive (DBC)](demo/Hyperleaup-Demo.dbc). +Install latest release from PyPI: +`pip install hyperleaup` + +A list of usage examples is available in the `demo` folder of this repo as a [Databricks Notebook Archive (DBC)](demo/Hyperleaup-Demo.dbc) or IPython Notebook (demo/Hyperleaup-Demo.ipynb). + ## Example usage The following code snippet creates a Tableau Hyper file from a Spark SQL statement and publishes it as a datasource to a Tableau Server. @@ -55,6 +59,20 @@ select * hf.append(sql=new_data) ``` +## Creation Mode +There are several options for how to create the Hyper file that can be set by adding argument `creation_mode` when initializing HyperFile instance. The default is PARQUET. + +| Mode | Description | Data Size | +| --- | --- | --- | +| PARQUET | Saves data to a single Parquet file then copies to Hyper file. | MEDIUM | +| COPY | Saves data to CSV format then copies to Hyper file. | MEDIUM | +| INSERT | Reads data into memory; more forgiving for null values. | SMALL | +| LARGEFILE | Saves data to multiple Parquet files then copies to Hyper file. | LARGE | + + +Example of setting creation mode: +`hf = HyperFile(name="transaction_history", sql=query, is_dbfs_enabled=True, creation_mode="PARQUET")` + ## Hyper File Options There is an optional `HyperFileConfig` that can be used to change default behaviors. - timestamp_with_timezone: diff --git a/demo/Hyperleaup-Demo.dbc b/demo/Hyperleaup-Demo.dbc index fe02869ee4270bd14b977fb72496dfae1d693c93..44e0553cb3817127db976f27e43b30039db8a55d 100644 GIT binary patch delta 4168 zcmV-O5V!C7AEzM>P)h>@6aWYa2mo}ZA6JnMA%D3IfG`XIcX5po0W1O=P%uQmc9bHC 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"code", "execution_count": 0, From c90e892d363878a22b7d168541e85181ded93ccf Mon Sep 17 00:00:00 2001 From: dustinvannoy-db Date: Thu, 31 Aug 2023 14:27:05 -0700 Subject: [PATCH 6/6] Fix README link --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index d4b1f90..fb49bba 100644 --- a/README.md +++ b/README.md @@ -24,7 +24,7 @@ or even incorporate it as a final step in an ETL pipeline, e.g. refresh data ext Install latest release from PyPI: `pip install hyperleaup` -A list of usage examples is available in the `demo` folder of this repo as a [Databricks Notebook Archive (DBC)](demo/Hyperleaup-Demo.dbc) or IPython Notebook (demo/Hyperleaup-Demo.ipynb). +A list of usage examples is available in the `demo` folder of this repo as a [Databricks Notebook Archive (DBC)](demo/Hyperleaup-Demo.dbc) or [IPython Notebook](demo/Hyperleaup-Demo.ipynb). ## Example usage