Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Add specialized filter kernels in compute module (up to 10x faster) #1248

Merged
merged 21 commits into from
Feb 9, 2022
Merged
Show file tree
Hide file tree
Changes from 8 commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
84 changes: 76 additions & 8 deletions arrow/benches/filter_kernels.rs
Original file line number Diff line number Diff line change
Expand Up @@ -18,22 +18,22 @@ extern crate arrow;

use std::sync::Arc;

use arrow::compute::{filter_record_batch, Filter};
use arrow::compute::{filter_record_batch, FilterBuilder, FilterPredicate};
use arrow::record_batch::RecordBatch;
use arrow::util::bench_util::*;

use arrow::array::*;
use arrow::compute::{build_filter, filter};
use arrow::datatypes::{Field, Float32Type, Schema, UInt8Type};
use arrow::compute::filter;
use arrow::datatypes::{Field, Float32Type, Int32Type, Schema, UInt8Type};

use criterion::{criterion_group, criterion_main, Criterion};

fn bench_filter(data_array: &dyn Array, filter_array: &BooleanArray) {
criterion::black_box(filter(data_array, filter_array).unwrap());
}

fn bench_built_filter<'a>(filter: &Filter<'a>, data: &impl Array) {
criterion::black_box(filter(data.data()));
fn bench_built_filter(filter: &FilterPredicate, array: &dyn Array) {
criterion::black_box(filter.filter(array).unwrap());
}

fn add_benchmark(c: &mut Criterion) {
Expand All @@ -42,12 +42,24 @@ fn add_benchmark(c: &mut Criterion) {
let dense_filter_array = create_boolean_array(size, 0.0, 1.0 - 1.0 / 1024.0);
let sparse_filter_array = create_boolean_array(size, 0.0, 1.0 / 1024.0);

let filter = build_filter(&filter_array).unwrap();
let dense_filter = build_filter(&dense_filter_array).unwrap();
let sparse_filter = build_filter(&sparse_filter_array).unwrap();
let filter = FilterBuilder::new(&filter_array).optimize().build();
let dense_filter = FilterBuilder::new(&dense_filter_array).optimize().build();
let sparse_filter = FilterBuilder::new(&sparse_filter_array).optimize().build();

let data_array = create_primitive_array::<UInt8Type>(size, 0.0);

c.bench_function("filter optimize", |b| {
tustvold marked this conversation as resolved.
Show resolved Hide resolved
b.iter(|| FilterBuilder::new(&filter_array).optimize().build())
});

c.bench_function("filter optimize high selectivity", |b| {
tustvold marked this conversation as resolved.
Show resolved Hide resolved
b.iter(|| FilterBuilder::new(&dense_filter_array).optimize().build())
});

c.bench_function("filter optimize low selectivity", |b| {
tustvold marked this conversation as resolved.
Show resolved Hide resolved
b.iter(|| FilterBuilder::new(&sparse_filter_array).optimize().build())
});

c.bench_function("filter u8", |b| {
b.iter(|| bench_filter(&data_array, &filter_array))
});
Expand All @@ -68,6 +80,38 @@ fn add_benchmark(c: &mut Criterion) {
b.iter(|| bench_built_filter(&sparse_filter, &data_array))
});

let data_array = create_primitive_array::<Int32Type>(size, 0.0);
c.bench_function("filter i32", |b| {
b.iter(|| bench_filter(&data_array, &filter_array))
});
c.bench_function("filter i32 high selectivity", |b| {
b.iter(|| bench_filter(&data_array, &dense_filter_array))
});
c.bench_function("filter i32 low selectivity", |b| {
b.iter(|| bench_filter(&data_array, &sparse_filter_array))
});

c.bench_function("filter context i32", |b| {
b.iter(|| bench_built_filter(&filter, &data_array))
});
c.bench_function("filter context i32 high selectivity", |b| {
b.iter(|| bench_built_filter(&dense_filter, &data_array))
});
c.bench_function("filter context i32 low selectivity", |b| {
b.iter(|| bench_built_filter(&sparse_filter, &data_array))
});

let data_array = create_primitive_array::<Int32Type>(size, 0.5);
c.bench_function("filter context i32 w NULLs", |b| {
b.iter(|| bench_built_filter(&filter, &data_array))
});
c.bench_function("filter context i32 w NULLs high selectivity", |b| {
b.iter(|| bench_built_filter(&dense_filter, &data_array))
});
c.bench_function("filter context i32 w NULLs low selectivity", |b| {
b.iter(|| bench_built_filter(&sparse_filter, &data_array))
});

let data_array = create_primitive_array::<UInt8Type>(size, 0.5);
c.bench_function("filter context u8 w NULLs", |b| {
b.iter(|| bench_built_filter(&filter, &data_array))
Expand Down Expand Up @@ -104,6 +148,30 @@ fn add_benchmark(c: &mut Criterion) {
b.iter(|| bench_built_filter(&sparse_filter, &data_array))
});

let data_array = create_string_dict_array::<Int32Type>(size, 0.0);
c.bench_function("filter context string dictionary", |b| {
b.iter(|| bench_built_filter(&filter, &data_array))
});
c.bench_function("filter context string dictionary high selectivity", |b| {
b.iter(|| bench_built_filter(&dense_filter, &data_array))
});
c.bench_function("filter context string dictionary low selectivity", |b| {
b.iter(|| bench_built_filter(&sparse_filter, &data_array))
});

let data_array = create_string_dict_array::<Int32Type>(size, 0.5);
c.bench_function("filter context string dictionary w NULLs", |b| {
b.iter(|| bench_built_filter(&filter, &data_array))
});
c.bench_function(
"filter context string dictionary w NULLs high selectivity",
|b| b.iter(|| bench_built_filter(&dense_filter, &data_array)),
);
c.bench_function(
"filter context string dictionary w NULLs low selectivity",
|b| b.iter(|| bench_built_filter(&sparse_filter, &data_array)),
);

let data_array = create_primitive_array::<Float32Type>(size, 0.0);

let field = Field::new("c1", data_array.data_type().clone(), true);
Expand Down
Loading