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select.rs
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select.rs
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// Licensed to the Apache Software Foundation (ASF) under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use this file except in compliance
// with the License. You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing,
// software distributed under the License is distributed on an
// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
// KIND, either express or implied. See the License for the
// specific language governing permissions and limitations
// under the License.
use super::*;
use datafusion_common::ScalarValue;
#[tokio::test]
async fn test_list_query_parameters() -> Result<()> {
let tmp_dir = TempDir::new()?;
let partition_count = 4;
let ctx = create_ctx_with_partition(&tmp_dir, partition_count).await?;
let results = ctx
.sql("SELECT * FROM test WHERE c1 = $1")
.await?
.with_param_values(vec![ScalarValue::from(3i32)])?
.collect()
.await?;
let expected = vec![
"+----+----+-------+",
"| c1 | c2 | c3 |",
"+----+----+-------+",
"| 3 | 1 | false |",
"| 3 | 10 | true |",
"| 3 | 2 | true |",
"| 3 | 3 | false |",
"| 3 | 4 | true |",
"| 3 | 5 | false |",
"| 3 | 6 | true |",
"| 3 | 7 | false |",
"| 3 | 8 | true |",
"| 3 | 9 | false |",
"+----+----+-------+",
];
assert_batches_sorted_eq!(expected, &results);
Ok(())
}
#[tokio::test]
async fn test_named_query_parameters() -> Result<()> {
let tmp_dir = TempDir::new()?;
let partition_count = 4;
let ctx = create_ctx_with_partition(&tmp_dir, partition_count).await?;
// sql to statement then to logical plan with parameters
// c1 defined as UINT32, c2 defined as UInt64
let results = ctx
.sql("SELECT c1, c2 FROM test WHERE c1 > $coo AND c1 < $foo")
.await?
.with_param_values(vec![
("foo", ScalarValue::UInt32(Some(3))),
("coo", ScalarValue::UInt32(Some(0))),
])?
.collect()
.await?;
let expected = vec![
"+----+----+",
"| c1 | c2 |",
"+----+----+",
"| 1 | 1 |",
"| 1 | 2 |",
"| 1 | 3 |",
"| 1 | 4 |",
"| 1 | 5 |",
"| 1 | 6 |",
"| 1 | 7 |",
"| 1 | 8 |",
"| 1 | 9 |",
"| 1 | 10 |",
"| 2 | 1 |",
"| 2 | 2 |",
"| 2 | 3 |",
"| 2 | 4 |",
"| 2 | 5 |",
"| 2 | 6 |",
"| 2 | 7 |",
"| 2 | 8 |",
"| 2 | 9 |",
"| 2 | 10 |",
"+----+----+",
];
assert_batches_sorted_eq!(expected, &results);
Ok(())
}
// Test prepare statement from sql to final result
// This test is equivalent with the test parallel_query_with_filter below but using prepare statement
#[tokio::test]
async fn test_prepare_statement() -> Result<()> {
let tmp_dir = TempDir::new()?;
let partition_count = 4;
let ctx = create_ctx_with_partition(&tmp_dir, partition_count).await?;
// sql to statement then to prepare logical plan with parameters
// c1 defined as UINT32, c2 defined as UInt64 but the params are Int32 and Float64
let dataframe =
ctx.sql("PREPARE my_plan(INT, DOUBLE) AS SELECT c1, c2 FROM test WHERE c1 > $2 AND c1 < $1").await?;
// prepare logical plan to logical plan without parameters
let param_values = vec![ScalarValue::Int32(Some(3)), ScalarValue::Float64(Some(0.0))];
let dataframe = dataframe.with_param_values(param_values)?;
let results = dataframe.collect().await?;
let expected = vec![
"+----+----+",
"| c1 | c2 |",
"+----+----+",
"| 1 | 1 |",
"| 1 | 10 |",
"| 1 | 2 |",
"| 1 | 3 |",
"| 1 | 4 |",
"| 1 | 5 |",
"| 1 | 6 |",
"| 1 | 7 |",
"| 1 | 8 |",
"| 1 | 9 |",
"| 2 | 1 |",
"| 2 | 10 |",
"| 2 | 2 |",
"| 2 | 3 |",
"| 2 | 4 |",
"| 2 | 5 |",
"| 2 | 6 |",
"| 2 | 7 |",
"| 2 | 8 |",
"| 2 | 9 |",
"+----+----+",
];
assert_batches_sorted_eq!(expected, &results);
Ok(())
}
#[tokio::test]
async fn prepared_statement_type_coercion() -> Result<()> {
let ctx = SessionContext::new();
let signed_ints: Int32Array = vec![-1, 0, 1].into();
let unsigned_ints: UInt64Array = vec![1, 2, 3].into();
let batch = RecordBatch::try_from_iter(vec![
("signed", Arc::new(signed_ints) as ArrayRef),
("unsigned", Arc::new(unsigned_ints) as ArrayRef),
])?;
ctx.register_batch("test", batch)?;
let results = ctx.sql("PREPARE my_plan(BIGINT, INT, TEXT) AS SELECT signed, unsigned FROM test WHERE $1 >= signed AND signed <= $2 AND unsigned = $3")
.await?
.with_param_values(vec![
ScalarValue::from(1_i64),
ScalarValue::from(-1_i32),
ScalarValue::from("1"),
])?
.collect()
.await?;
let expected = [
"+--------+----------+",
"| signed | unsigned |",
"+--------+----------+",
"| -1 | 1 |",
"+--------+----------+",
];
assert_batches_sorted_eq!(expected, &results);
Ok(())
}
#[tokio::test]
async fn prepared_statement_invalid_types() -> Result<()> {
let ctx = SessionContext::new();
let signed_ints: Int32Array = vec![-1, 0, 1].into();
let unsigned_ints: UInt64Array = vec![1, 2, 3].into();
let batch = RecordBatch::try_from_iter(vec![
("signed", Arc::new(signed_ints) as ArrayRef),
("unsigned", Arc::new(unsigned_ints) as ArrayRef),
])?;
ctx.register_batch("test", batch)?;
let results = ctx
.sql("PREPARE my_plan(INT) AS SELECT signed FROM test WHERE signed = $1")
.await?
.with_param_values(vec![ScalarValue::from("1")]);
assert_eq!(
results.unwrap_err().strip_backtrace(),
"Error during planning: Expected parameter of type Int32, got Utf8 at index 0"
);
Ok(())
}
#[tokio::test]
async fn test_parameter_type_coercion() -> Result<()> {
let ctx = SessionContext::new();
let signed_ints: Int32Array = vec![-1, 0, 1].into();
let unsigned_ints: UInt64Array = vec![1, 2, 3].into();
let batch = RecordBatch::try_from_iter(vec![
("signed", Arc::new(signed_ints) as ArrayRef),
("unsigned", Arc::new(unsigned_ints) as ArrayRef),
])?;
ctx.register_batch("test", batch)?;
let results = ctx.sql("SELECT signed, unsigned FROM test WHERE $foo >= signed AND signed <= $bar AND unsigned <= $baz AND unsigned = $str")
.await?
.with_param_values(vec![
("foo", ScalarValue::from(1_u64)),
("bar", ScalarValue::from(-1_i64)),
("baz", ScalarValue::from(2_i32)),
("str", ScalarValue::from("1")),
])?
.collect().await?;
let expected = [
"+--------+----------+",
"| signed | unsigned |",
"+--------+----------+",
"| -1 | 1 |",
"+--------+----------+",
];
assert_batches_sorted_eq!(expected, &results);
Ok(())
}
#[tokio::test]
async fn test_parameter_invalid_types() -> Result<()> {
let ctx = SessionContext::new();
let list_array = ListArray::from_iter_primitive::<Int32Type, _, _>(vec![Some(vec![
Some(1),
Some(2),
Some(3),
])]);
let batch =
RecordBatch::try_from_iter(vec![("list", Arc::new(list_array) as ArrayRef)])?;
ctx.register_batch("test", batch)?;
let results = ctx
.sql("SELECT list FROM test WHERE list = $1")
.await?
.with_param_values(vec![ScalarValue::from(4_i32)])?
.collect()
.await;
assert_eq!(
results.unwrap_err().strip_backtrace(),
"type_coercion\ncaused by\nError during planning: Cannot infer common argument type for comparison operation List(Field { name: \"item\", data_type: Int32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }) = Int32"
);
Ok(())
}
#[tokio::test]
async fn test_version_function() {
let expected_version = format!(
"Apache DataFusion {}, {} on {}",
env!("CARGO_PKG_VERSION"),
std::env::consts::ARCH,
std::env::consts::OS,
);
let ctx = SessionContext::new();
let results = ctx
.sql("select version()")
.await
.unwrap()
.collect()
.await
.unwrap();
// since width of columns varies between platforms, we can't compare directly
// so we just check that the version string is present
// expect a single string column with a single row
assert_eq!(results.len(), 1);
assert_eq!(results[0].num_columns(), 1);
let version = results[0].column(0).as_string::<i32>();
assert_eq!(version.len(), 1);
assert_eq!(version.value(0), expected_version);
}