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feat: BMI for bit filtering #10136
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feat: BMI for bit filtering #10136
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3a64b9e
feat: Working on BMI impl for filter_bits
devanbenz 903f9c3
chore: use code from https://github.com/apache/arrow-rs/pull/9848/cha…
devanbenz 76c7efc
fix: attempt to resolve regression for dense bitmaps
devanbenz 27bf3b4
feat: Merge branch 'master' into db/10098/bmi-null-bool-filter
devanbenz 8e326b4
feat: simplify code a bit
devanbenz afed62b
Merge branch 'main' into db/10098/bmi-null-bool-filter
devanbenz 5bbbdd8
feat: Moves compress from parquet workspace to arrow-buffer
devanbenz 9b54543
chore: parquet fmt
devanbenz a9e1587
feat: Adds test for bmi2 path
devanbenz 57bebdd
Merge branch 'main' into db/10098/bmi-null-bool-filter
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,88 @@ | ||
| // 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. | ||
|
|
||
| //! Benchmarks for the internal `filter_bits` kernel. | ||
| //! | ||
| //! `filter_bits` is private, so it is exercised through | ||
| //! [`FilterPredicate::filter`] on a [`BooleanArray`] without nulls, which | ||
| //! dispatches directly to `filter_bits` on the array's value buffer. | ||
| //! | ||
| //! The filter selectivity determines which `IterationStrategy` is used: | ||
| //! selectivity above 0.8 selects `SlicesIterator`, below selects | ||
| //! `IndexIterator`, and [`FilterBuilder::optimize`] converts these into their | ||
| //! precomputed `Slices` / `Indices` counterparts. | ||
|
|
||
| use arrow_array::BooleanArray; | ||
| use arrow_select::filter::{FilterBuilder, FilterPredicate}; | ||
| use criterion::{Criterion, criterion_group, criterion_main}; | ||
| use rand::rngs::StdRng; | ||
| use rand::{Rng, SeedableRng}; | ||
| use std::hint; | ||
|
|
||
| fn create_boolean_array(size: usize, true_density: f64, rng: &mut StdRng) -> BooleanArray { | ||
| (0..size) | ||
| .map(|_| Some(rng.random_bool(true_density))) | ||
| .collect() | ||
| } | ||
|
|
||
| fn bench_filter_bits(predicate: &FilterPredicate, array: &BooleanArray) { | ||
| hint::black_box(predicate.filter(array).unwrap()); | ||
| } | ||
|
|
||
| fn add_benchmark(c: &mut Criterion) { | ||
| const SIZE: usize = 65536; | ||
| let mut rng = StdRng::seed_from_u64(42); | ||
|
|
||
| let data = create_boolean_array(SIZE, 0.5, &mut rng); | ||
|
|
||
| // Slice off a non-byte-aligned prefix to exercise the bit offset handling | ||
| // in `filter_bits` | ||
| let padded = create_boolean_array(SIZE + 3, 0.5, &mut rng); | ||
| let sliced = padded.slice(3, SIZE); | ||
|
|
||
| // (label, true_density): densities above the 0.8 selectivity threshold use | ||
| // the slices strategies, those below use the index strategies | ||
| let cases = [ | ||
| ("slices, kept 1023/1024", 1.0 - 1.0 / 1024.0), | ||
| ("slices, kept 9/10", 0.9), | ||
| ("indices, kept 1/2", 0.5), | ||
| ("indices, kept 1/10", 0.1), | ||
| ("indices, kept 1/1024", 1.0 / 1024.0), | ||
| ]; | ||
|
|
||
| for (label, true_density) in cases { | ||
| let filter_array = create_boolean_array(SIZE, true_density, &mut rng); | ||
|
|
||
| // Lazy strategies: SlicesIterator / IndexIterator | ||
| let lazy = FilterBuilder::new(&filter_array).build(); | ||
| // Precomputed strategies: Slices / Indices | ||
| let optimized = FilterBuilder::new(&filter_array).optimize().build(); | ||
|
|
||
| for (suffix, predicate, array) in [ | ||
| ("", &lazy, &data), | ||
| (" optimized", &optimized, &data), | ||
| (" sliced", &lazy, &sliced), | ||
| ] { | ||
| c.bench_function(&format!("filter_bits{suffix} ({label})"), |b| { | ||
| b.iter(|| bench_filter_bits(predicate, array)) | ||
| }); | ||
| } | ||
| } | ||
| } | ||
|
|
||
| criterion_group!(benches, add_benchmark); | ||
| criterion_main!(benches); |
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