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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.
//! Type coercion rules for functions with multiple valid signatures
//!
//! Coercion is performed automatically by DataFusion when the types
//! of arguments passed to a function do not exactly match the types
//! required by that function. In this case, DataFusion will attempt to
//! *coerce* the arguments to types accepted by the function by
//! inserting CAST operations.
//!
//! CAST operations added by coercion are lossless and never discard
//! information. For example coercion from i32 -> i64 might be
//! performed because all valid i32 values can be represented using an
//! i64. However, i64 -> i32 is never performed as there are i64
//! values which can not be represented by i32 values.
use super::PhysicalExpr;
use crate::expressions::try_cast;
use arrow::datatypes::Schema;
use datafusion_common::Result;
use datafusion_expr::{type_coercion::functions::data_types, Signature};
use std::{sync::Arc, vec};
/// Returns `expressions` coerced to types compatible with
/// `signature`, if possible.
///
/// See the module level documentation for more detail on coercion.
pub fn coerce(
expressions: &[Arc<dyn PhysicalExpr>],
schema: &Schema,
signature: &Signature,
) -> Result<Vec<Arc<dyn PhysicalExpr>>> {
if expressions.is_empty() {
return Ok(vec![]);
}
let current_types = expressions
.iter()
.map(|e| e.data_type(schema))
.collect::<Result<Vec<_>>>()?;
let new_types = data_types(¤t_types, signature)?;
expressions
.iter()
.enumerate()
.map(|(i, expr)| try_cast(expr.clone(), schema, new_types[i].clone()))
.collect::<Result<Vec<_>>>()
}
#[cfg(test)]
mod tests {
use super::*;
use crate::expressions::col;
use arrow::datatypes::{DataType, Field, Schema};
use arrow_schema::Fields;
use datafusion_common::DataFusionError;
use datafusion_expr::Volatility;
#[test]
fn test_coerce() -> Result<()> {
// create a schema
let schema = |t: Vec<DataType>| {
Schema::new(
t.iter()
.enumerate()
.map(|(i, t)| Field::new(format!("c{i}"), t.clone(), true))
.collect::<Fields>(),
)
};
// create a vector of expressions
let expressions = |t: Vec<DataType>, schema| -> Result<Vec<_>> {
t.iter()
.enumerate()
.map(|(i, t)| {
try_cast(col(&format!("c{i}"), &schema)?, &schema, t.clone())
})
.collect::<Result<Vec<_>>>()
};
// create a case: input + expected result
let case =
|observed: Vec<DataType>, valid, expected: Vec<DataType>| -> Result<_> {
let schema = schema(observed.clone());
let expr = expressions(observed, schema.clone())?;
let expected = expressions(expected, schema.clone())?;
Ok((expr.clone(), schema, valid, expected))
};
let cases = vec![
// u16 -> u32
case(
vec![DataType::UInt16],
Signature::uniform(1, vec![DataType::UInt32], Volatility::Immutable),
vec![DataType::UInt32],
)?,
// same type
case(
vec![DataType::UInt32, DataType::UInt32],
Signature::uniform(2, vec![DataType::UInt32], Volatility::Immutable),
vec![DataType::UInt32, DataType::UInt32],
)?,
case(
vec![DataType::UInt32],
Signature::uniform(
1,
vec![DataType::Float32, DataType::Float64],
Volatility::Immutable,
),
vec![DataType::Float32],
)?,
// u32 -> f32
case(
vec![DataType::UInt32, DataType::UInt32],
Signature::variadic(vec![DataType::Float32], Volatility::Immutable),
vec![DataType::Float32, DataType::Float32],
)?,
// u32 -> f32
case(
vec![DataType::Float32, DataType::UInt32],
Signature::variadic_equal(Volatility::Immutable),
vec![DataType::Float32, DataType::Float32],
)?,
// common type is u64
case(
vec![DataType::UInt32, DataType::UInt64],
Signature::variadic(
vec![DataType::UInt32, DataType::UInt64],
Volatility::Immutable,
),
vec![DataType::UInt64, DataType::UInt64],
)?,
// f32 -> f32
case(
vec![DataType::Float32],
Signature::any(1, Volatility::Immutable),
vec![DataType::Float32],
)?,
];
for case in cases {
let observed = format!("{:?}", coerce(&case.0, &case.1, &case.2)?);
let expected = format!("{:?}", case.3);
assert_eq!(observed, expected);
}
// now cases that are expected to fail
let cases = vec![
// we do not know how to cast bool to UInt16 => fail
case(
vec![DataType::Boolean],
Signature::uniform(1, vec![DataType::UInt16], Volatility::Immutable),
vec![],
)?,
// u32 and bool are not uniform
case(
vec![DataType::UInt32, DataType::Boolean],
Signature::variadic_equal(Volatility::Immutable),
vec![],
)?,
// bool is not castable to u32
case(
vec![DataType::Boolean, DataType::Boolean],
Signature::variadic(vec![DataType::UInt32], Volatility::Immutable),
vec![],
)?,
// expected two arguments
case(
vec![DataType::UInt32],
Signature::any(2, Volatility::Immutable),
vec![],
)?,
];
for case in cases {
if coerce(&case.0, &case.1, &case.2).is_ok() {
return Err(DataFusionError::Plan(format!(
"Error was expected in {case:?}"
)));
}
}
Ok(())
}
}