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perf: optimize make_date in datafusion-functions (#23470)
## Which issue does this PR close? N/A ## Rationale for this change Optimize existing expression. ## What changes are included in this PR? Replaced make_date's per-element triple is_null check + PrimitiveBuilder with a single unioned NullBuffer, raw value-slice reads, and direct PrimitiveArray::new construction (matching the already-optimized make_time), cutting per-row overhead on the hot valid-input path. ## Are these changes tested? Existing tests + new tests. Benchmark (criterion): - make_date_scalar_col_col_8192: 19.979% faster (base 31210ns -> cand 24974ns) - make_date_col_col_col_8192: 16.931% faster (base 30849ns -> cand 25626ns) - make_date_scalar_scalar_col_8192: 22.999% faster (base 31551ns -> cand 24295ns) - make_date_scalar_scalar_scalar: 1.271% faster (base 48ns -> cand 48ns) ## Are there any user-facing changes? No <!-- If there are user-facing changes then we may require documentation to be updated before approving the PR. --> <!-- If there are any breaking changes to public APIs, please add the `api change` label. -->
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datafusion/functions/src/datetime/make_date.rs

Lines changed: 95 additions & 7 deletions
Original file line numberDiff line numberDiff line change
@@ -17,10 +17,10 @@
1717

1818
use std::sync::Arc;
1919

20-
use arrow::array::builder::PrimitiveBuilder;
2120
use arrow::array::cast::AsArray;
2221
use arrow::array::types::{Date32Type, Int32Type};
2322
use arrow::array::{Array, PrimitiveArray};
23+
use arrow::buffer::NullBuffer;
2424
use arrow::datatypes::DataType;
2525
use arrow::datatypes::DataType::Date32;
2626
use chrono::prelude::*;
@@ -139,24 +139,27 @@ impl ScalarUDFImpl for MakeDateFunc {
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let months = months.as_primitive::<Int32Type>();
140140
let days = days.as_primitive::<Int32Type>();
141141

142-
let mut builder: PrimitiveBuilder<Date32Type> =
143-
PrimitiveArray::builder(len);
142+
let nulls =
143+
NullBuffer::union_many([years.nulls(), months.nulls(), days.nulls()]);
144144

145+
let mut values = Vec::with_capacity(len);
145146
for i in 0..len {
146147
// match postgresql behaviour which returns null for any null input
147-
if years.is_null(i) || months.is_null(i) || days.is_null(i) {
148-
builder.append_null();
148+
if nulls.as_ref().is_some_and(|n| n.is_null(i)) {
149+
values.push(0);
149150
} else {
150151
make_date_inner(
151152
years.value(i),
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months.value(i),
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days.value(i),
154-
|days: i32| builder.append_value(days),
155+
|days: i32| values.push(days),
155156
)?;
156157
}
157158
}
158159

159-
Ok(ColumnarValue::Array(Arc::new(builder.finish())))
160+
Ok(ColumnarValue::Array(Arc::new(
161+
PrimitiveArray::<Date32Type>::new(values.into(), nulls),
162+
)))
160163
}
161164
}
162165
}
@@ -197,3 +200,88 @@ fn make_date_inner<F: FnMut(i32)>(
197200
exec_err!("Unable to parse date from {year}, {month}, {day}")
198201
}
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}
203+
204+
#[cfg(test)]
205+
mod tests {
206+
use super::*;
207+
use arrow::array::Int32Array;
208+
use arrow::datatypes::Field;
209+
use datafusion_common::config::ConfigOptions;
210+
211+
fn invoke(args: Vec<ColumnarValue>, number_rows: usize) -> Result<ColumnarValue> {
212+
let arg_fields = args
213+
.iter()
214+
.map(|a| Field::new("a", a.data_type(), true).into())
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.collect::<Vec<_>>();
216+
MakeDateFunc::new().invoke_with_args(ScalarFunctionArgs {
217+
args,
218+
arg_fields,
219+
number_rows,
220+
return_field: Field::new("f", Date32, true).into(),
221+
config_options: Arc::new(ConfigOptions::default()),
222+
})
223+
}
224+
225+
#[test]
226+
fn test_make_date_array() {
227+
let years = ColumnarValue::Array(Arc::new(Int32Array::from(vec![
228+
Some(1970),
229+
Some(1970),
230+
])));
231+
let months =
232+
ColumnarValue::Array(Arc::new(Int32Array::from(vec![Some(1), Some(1)])));
233+
let days =
234+
ColumnarValue::Array(Arc::new(Int32Array::from(vec![Some(1), Some(2)])));
235+
236+
let ColumnarValue::Array(arr) = invoke(vec![years, months, days], 2).unwrap()
237+
else {
238+
panic!("expected array result");
239+
};
240+
let arr = arr.as_primitive::<Date32Type>();
241+
// Days since the unix epoch.
242+
assert_eq!(arr.value(0), 0);
243+
assert_eq!(arr.value(1), 1);
244+
}
245+
246+
#[test]
247+
fn test_make_date_null_propagation() {
248+
// A NULL in any component column yields a NULL row.
249+
let years =
250+
ColumnarValue::Array(Arc::new(Int32Array::from(vec![Some(2000), None])));
251+
let months =
252+
ColumnarValue::Array(Arc::new(Int32Array::from(vec![Some(6), Some(6)])));
253+
let days = ColumnarValue::Array(Arc::new(Int32Array::from(vec![None, Some(15)])));
254+
255+
let ColumnarValue::Array(arr) = invoke(vec![years, months, days], 2).unwrap()
256+
else {
257+
panic!("expected array result");
258+
};
259+
let arr = arr.as_primitive::<Date32Type>();
260+
assert!(arr.is_null(0));
261+
assert!(arr.is_null(1));
262+
}
263+
264+
#[test]
265+
fn test_make_date_scalar_array_mix() {
266+
let year = ColumnarValue::Scalar(ScalarValue::Int32(Some(1970)));
267+
let month = ColumnarValue::Scalar(ScalarValue::Int32(Some(1)));
268+
let days =
269+
ColumnarValue::Array(Arc::new(Int32Array::from(vec![Some(1), Some(3)])));
270+
271+
let ColumnarValue::Array(arr) = invoke(vec![year, month, days], 2).unwrap()
272+
else {
273+
panic!("expected array result");
274+
};
275+
let arr = arr.as_primitive::<Date32Type>();
276+
assert_eq!(arr.value(0), 0);
277+
assert_eq!(arr.value(1), 2);
278+
}
279+
280+
#[test]
281+
fn test_make_date_out_of_range_errors() {
282+
let years = ColumnarValue::Array(Arc::new(Int32Array::from(vec![Some(2000)])));
283+
let months = ColumnarValue::Array(Arc::new(Int32Array::from(vec![Some(13)])));
284+
let days = ColumnarValue::Array(Arc::new(Int32Array::from(vec![Some(1)])));
285+
assert!(invoke(vec![years, months, days], 1).is_err());
286+
}
287+
}

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