-
Notifications
You must be signed in to change notification settings - Fork 594
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
perf(encoding): add benchmark for data chunk encoding (#9035)
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
- Loading branch information
1 parent
5af13c1
commit 8038315
Showing
5 changed files
with
121 additions
and
39 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,58 @@ | ||
| // Copyright 2023 RisingWave Labs | ||
| // | ||
| // Licensed 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. | ||
|
|
||
| use criterion::{criterion_group, criterion_main, Criterion}; | ||
| use risingwave_common::test_utils::rand_chunk; | ||
| use risingwave_common::types::DataType; | ||
|
|
||
| static SEED: u64 = 998244353u64; | ||
| static CHUNK_SIZES: &[usize] = &[128, 1024]; | ||
| static NULL_RATIOS: &[f64] = &[0.0, 0.01, 0.1]; | ||
|
|
||
| struct DataChunkBenchCase { | ||
| pub name: String, | ||
| pub data_types: Vec<DataType>, | ||
| } | ||
|
|
||
| impl DataChunkBenchCase { | ||
| pub fn new(name: &str, data_types: Vec<DataType>) -> Self { | ||
| Self { | ||
| name: name.to_string(), | ||
| data_types, | ||
| } | ||
| } | ||
| } | ||
|
|
||
| fn bench_data_chunk_encoding(c: &mut Criterion) { | ||
| let test_cases = vec![ | ||
| DataChunkBenchCase::new("Int16", vec![DataType::Int16]), | ||
| DataChunkBenchCase::new("String", vec![DataType::Varchar]), | ||
| DataChunkBenchCase::new("Int16 and String", vec![DataType::Int16, DataType::Varchar]), | ||
| ]; | ||
| for case in test_cases { | ||
| for null_ratio in NULL_RATIOS { | ||
| for chunk_size in CHUNK_SIZES { | ||
| let id = format!( | ||
| "data chunk encoding: {}, {} rows, Pr[null]={}", | ||
| case.name, chunk_size, null_ratio | ||
| ); | ||
| let chunk = rand_chunk::gen_chunk(&case.data_types, *chunk_size, SEED, *null_ratio); | ||
| c.bench_function(&id, |b| b.iter(|| chunk.serialize())); | ||
| } | ||
| } | ||
| } | ||
| } | ||
|
|
||
| criterion_group!(benches, bench_data_chunk_encoding); | ||
| criterion_main!(benches); |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
|
|
@@ -13,4 +13,5 @@ | |
| // limitations under the License. | ||
|
|
||
| pub mod rand_array; | ||
| pub mod rand_chunk; | ||
| pub mod test_stream_chunk; | ||
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,54 @@ | ||
| // Copyright 2023 RisingWave Labs | ||
| // | ||
| // Licensed 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. | ||
|
|
||
| use crate::array::column::Column; | ||
| use crate::array::serial_array::SerialArray; | ||
| use crate::array::{ | ||
| BoolArray, DataChunk, DateArray, DecimalArray, F32Array, F64Array, I16Array, I32Array, | ||
| I64Array, IntervalArray, TimeArray, TimestampArray, Utf8Array, | ||
| }; | ||
| use crate::test_utils::rand_array::seed_rand_array_ref; | ||
| use crate::types::DataType; | ||
| use crate::util::schema_check; | ||
|
|
||
| pub fn gen_chunk(data_types: &[DataType], size: usize, seed: u64, null_ratio: f64) -> DataChunk { | ||
| let mut columns = vec![]; | ||
|
|
||
| for d in data_types { | ||
| columns.push(Column::new(match d { | ||
| DataType::Boolean => seed_rand_array_ref::<BoolArray>(size, seed, null_ratio), | ||
| DataType::Int16 => seed_rand_array_ref::<I16Array>(size, seed, null_ratio), | ||
| DataType::Int32 => seed_rand_array_ref::<I32Array>(size, seed, null_ratio), | ||
| DataType::Int64 => seed_rand_array_ref::<I64Array>(size, seed, null_ratio), | ||
| DataType::Float32 => seed_rand_array_ref::<F32Array>(size, seed, null_ratio), | ||
| DataType::Float64 => seed_rand_array_ref::<F64Array>(size, seed, null_ratio), | ||
| DataType::Decimal => seed_rand_array_ref::<DecimalArray>(size, seed, null_ratio), | ||
| DataType::Date => seed_rand_array_ref::<DateArray>(size, seed, null_ratio), | ||
| DataType::Varchar => seed_rand_array_ref::<Utf8Array>(size, seed, null_ratio), | ||
| DataType::Time => seed_rand_array_ref::<TimeArray>(size, seed, null_ratio), | ||
| DataType::Serial => seed_rand_array_ref::<SerialArray>(size, seed, null_ratio), | ||
| DataType::Timestamp => seed_rand_array_ref::<TimestampArray>(size, seed, null_ratio), | ||
| DataType::Timestamptz => seed_rand_array_ref::<I64Array>(size, seed, null_ratio), | ||
| DataType::Interval => seed_rand_array_ref::<IntervalArray>(size, seed, null_ratio), | ||
| DataType::Struct(_) | DataType::Bytea | DataType::Jsonb => { | ||
| todo!() | ||
| } | ||
| DataType::List { datatype: _ } => { | ||
| todo!() | ||
| } | ||
| })); | ||
| } | ||
| schema_check::schema_check(data_types, &columns).unwrap(); | ||
| DataChunk::new(columns, size) | ||
| } |