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175 changes: 114 additions & 61 deletions datafusion/physical-expr/benches/in_list.rs
Original file line number Diff line number Diff line change
Expand Up @@ -15,17 +15,21 @@
// specific language governing permissions and limitations
// under the License.

use arrow::array::{Array, ArrayRef, Float32Array, Int32Array, StringArray};
use arrow::array::{
Array, ArrayRef, Float32Array, Int32Array, StringArray, StringViewArray,
};
use arrow::datatypes::{Field, Schema};
use arrow::record_batch::RecordBatch;
use criterion::{Criterion, criterion_group, criterion_main};
use datafusion_common::ScalarValue;
use datafusion_physical_expr::expressions::{col, in_list, lit};
use rand::distr::Alphanumeric;
use rand::prelude::*;
use std::any::TypeId;
use std::hint::black_box;
use std::sync::Arc;

/// Measures how long `in_list(col("a"), exprs)` takes to evaluate against a single RecordBatch.
fn do_bench(c: &mut Criterion, name: &str, values: ArrayRef, exprs: &[ScalarValue]) {
let schema = Schema::new(vec![Field::new("a", values.data_type().clone(), true)]);
let exprs = exprs.iter().map(|s| lit(s.clone())).collect();
Expand All @@ -37,79 +41,128 @@ fn do_bench(c: &mut Criterion, name: &str, values: ArrayRef, exprs: &[ScalarValu
});
}

/// Generates a random alphanumeric string of the specified length.
fn random_string(rng: &mut StdRng, len: usize) -> String {
let value = rng.sample_iter(&Alphanumeric).take(len).collect();
String::from_utf8(value).unwrap()
}

fn do_benches(
c: &mut Criterion,
array_length: usize,
in_list_length: usize,
null_percent: f64,
) {
let mut rng = StdRng::seed_from_u64(120320);
let non_null_percent = 1.0 - null_percent;

for string_length in [5, 10, 20] {
let values: StringArray = (0..array_length)
.map(|_| {
rng.random_bool(non_null_percent)
.then(|| random_string(&mut rng, string_length))
})
.collect();

let in_list: Vec<_> = (0..in_list_length)
.map(|_| ScalarValue::from(random_string(&mut rng, string_length)))
.collect();

do_bench(
c,
&format!(
"in_list_utf8({string_length}) ({array_length}, {null_percent}) IN ({in_list_length}, 0)"
),
Arc::new(values),
&in_list,
)
const IN_LIST_LENGTHS: [usize; 3] = [3, 8, 100];
const NULL_PERCENTS: [f64; 2] = [0., 0.2];
const STRING_LENGTHS: [usize; 3] = [3, 12, 100];
const ARRAY_LENGTH: usize = 1024;

/// Returns a friendly type name for the array type.
fn array_type_name<A: 'static>() -> &'static str {
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You could potentially use https://docs.rs/arrow/latest/arrow/datatypes/enum.DataType.html#display-and-fromstr

So like array.data_type().to_string() 🤔

let id = TypeId::of::<A>();
if id == TypeId::of::<StringArray>() {
"Utf8"
} else if id == TypeId::of::<StringViewArray>() {
"Utf8View"
} else if id == TypeId::of::<Float32Array>() {
"Float32"
} else if id == TypeId::of::<Int32Array>() {
"Int32"
} else {
"Unknown"
}
}

let values: Float32Array = (0..array_length)
.map(|_| rng.random_bool(non_null_percent).then(|| rng.random()))
.collect();
/// Builds a benchmark name from array type, list size, and null percentage.
fn bench_name<A: 'static>(in_list_length: usize, null_percent: f64) -> String {
format!(
"in_list/{}/list={in_list_length}/nulls={}%",
array_type_name::<A>(),
(null_percent * 100.0) as u32
)
}

let in_list: Vec<_> = (0..in_list_length)
.map(|_| ScalarValue::Float32(Some(rng.random())))
.collect();
/// Runs in_list benchmarks for a string array type across all list-size × null-ratio × string-length combinations.
fn bench_string_type<A>(
c: &mut Criterion,
rng: &mut StdRng,
make_scalar: fn(String) -> ScalarValue,
) where
A: Array + FromIterator<Option<String>> + 'static,
{
for in_list_length in IN_LIST_LENGTHS {
for null_percent in NULL_PERCENTS {
for string_length in STRING_LENGTHS {
let values: A = (0..ARRAY_LENGTH)
.map(|_| {
rng.random_bool(1.0 - null_percent)
.then(|| random_string(rng, string_length))
})
.collect();

let in_list: Vec<_> = (0..in_list_length)
.map(|_| make_scalar(random_string(rng, string_length)))
.collect();

do_bench(
c,
&format!(
"{}/str={string_length}",
bench_name::<A>(in_list_length, null_percent)
),
Arc::new(values),
&in_list,
)
}
}
}
}

do_bench(
c,
&format!("in_list_f32 ({array_length}, {null_percent}) IN ({in_list_length}, 0)"),
Arc::new(values),
&in_list,
);
/// Runs in_list benchmarks for a numeric array type across all list-size × null-ratio combinations.
fn bench_numeric_type<T, A>(
c: &mut Criterion,
rng: &mut StdRng,
mut gen_value: impl FnMut(&mut StdRng) -> T,
make_scalar: fn(T) -> ScalarValue,
) where
A: Array + FromIterator<Option<T>> + 'static,
{
for in_list_length in IN_LIST_LENGTHS {
for null_percent in NULL_PERCENTS {
let values: A = (0..ARRAY_LENGTH)
.map(|_| rng.random_bool(1.0 - null_percent).then(|| gen_value(rng)))
.collect();

let in_list: Vec<_> = (0..in_list_length)
.map(|_| make_scalar(gen_value(rng)))
.collect();

do_bench(
c,
&bench_name::<A>(in_list_length, null_percent),
Arc::new(values),
&in_list,
);
}
}
}

let values: Int32Array = (0..array_length)
.map(|_| rng.random_bool(non_null_percent).then(|| rng.random()))
.collect();
/// Entry point: registers in_list benchmarks for Utf8, Utf8View, Float32, and Int32 arrays.
fn criterion_benchmark(c: &mut Criterion) {
let mut rng = StdRng::seed_from_u64(120320);

let in_list: Vec<_> = (0..in_list_length)
.map(|_| ScalarValue::Int32(Some(rng.random())))
.collect();
// Benchmarks for string array types (Utf8, Utf8View)
bench_string_type::<StringArray>(c, &mut rng, |s| ScalarValue::Utf8(Some(s)));
bench_string_type::<StringViewArray>(c, &mut rng, |s| ScalarValue::Utf8View(Some(s)));

do_bench(
// Benchmarks for numeric types
bench_numeric_type::<f32, Float32Array>(
c,
&format!("in_list_i32 ({array_length}, {null_percent}) IN ({in_list_length}, 0)"),
Arc::new(values),
&in_list,
)
}

fn criterion_benchmark(c: &mut Criterion) {
for in_list_length in [1, 3, 10, 100] {
for null_percent in [0., 0.2] {
do_benches(c, 1024, in_list_length, null_percent)
}
}
&mut rng,
|rng| rng.random(),
|v| ScalarValue::Float32(Some(v)),
);
bench_numeric_type::<i32, Int32Array>(
c,
&mut rng,
|rng| rng.random(),
|v| ScalarValue::Int32(Some(v)),
);
}

criterion_group!(benches, criterion_benchmark);
Expand Down