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32 changes: 8 additions & 24 deletions datafusion/src/physical_plan/math_expressions.rs
Original file line number Diff line number Diff line change
Expand Up @@ -17,37 +17,21 @@

//! Math expressions
use arrow::array::{make_array, Array, ArrayData, Float32Array, Float64Array};
use arrow::buffer::Buffer;
use arrow::datatypes::{DataType, ToByteSlice};

use super::{ColumnarValue, ScalarValue};
use crate::error::{DataFusionError, Result};

macro_rules! compute_op {
($ARRAY:expr, $FUNC:ident, $TYPE:ident) => {{
let len = $ARRAY.len();
let result = (0..len)
.map(|i| $ARRAY.value(i).$FUNC() as f64)
.collect::<Vec<f64>>();
let data = ArrayData::new(
DataType::Float64,
len,
Some($ARRAY.null_count()),
$ARRAY.data().null_buffer().cloned(),
0,
vec![Buffer::from(result.to_byte_slice())],
vec![],
);
Ok(make_array(data))
}};
}
use arrow::array::{Float32Array, Float64Array};
use arrow::datatypes::DataType;
use std::sync::Arc;

macro_rules! downcast_compute_op {
($ARRAY:expr, $NAME:expr, $FUNC:ident, $TYPE:ident) => {{
let n = $ARRAY.as_any().downcast_ref::<$TYPE>();
match n {
Some(array) => compute_op!(array, $FUNC, $TYPE),
Some(array) => {
let res: $TYPE =
arrow::compute::kernels::arity::unary(array, |x| x.$FUNC());
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This avoids creating intermediate Vec and uses the (efficient) unary kernel

Ok(Arc::new(res))
}
_ => Err(DataFusionError::Internal(format!(
"Invalid data type for {}",
$NAME
Expand Down
2 changes: 1 addition & 1 deletion datafusion/tests/sql.rs
Original file line number Diff line number Diff line change
Expand Up @@ -631,7 +631,7 @@ async fn sqrt_f32_vs_f64() -> Result<()> {
// sqrt(f32)'s plan passes
let sql = "SELECT avg(sqrt(c11)) FROM aggregate_test_100";
let actual = execute(&mut ctx, sql).await;
let expected = vec![vec!["0.6584408485889435"]];
let expected = vec![vec!["0.6584407806396484"]];
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@Dandandan Dandandan May 10, 2021

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Small diff, since we avoid as f64 now.


assert_eq!(actual, expected);
let sql = "SELECT avg(sqrt(CAST(c11 AS double))) FROM aggregate_test_100";
Expand Down