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chore(ci): enable overflow-checks in ci profile (databendlabs#16895)
* chore(ci): enable overflow-checks in ci profile * update * update * update * update * update * update * update * update
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// Copyright 2021 Datafuse 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. | ||
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#[macro_use] | ||
extern crate criterion; | ||
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use criterion::Criterion; | ||
use databend_common_column::buffer::Buffer; | ||
use databend_common_expression::arrow::deserialize_column; | ||
use databend_common_expression::arrow::serialize_column; | ||
use databend_common_expression::types::BinaryType; | ||
use databend_common_expression::types::StringType; | ||
use databend_common_expression::Column; | ||
use databend_common_expression::DataBlock; | ||
use databend_common_expression::FromData; | ||
use rand::rngs::StdRng; | ||
use rand::Rng; | ||
use rand::SeedableRng; | ||
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fn bench(c: &mut Criterion) { | ||
let mut group = c.benchmark_group("bench_kernels"); | ||
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let mut rng = StdRng::seed_from_u64(0); | ||
// concats | ||
{ | ||
for length in [12, 20, 500] { | ||
let (s, b) = generate_random_string_data(&mut rng, length); | ||
let bin_col = (0..5).map(|_| BinaryType::from_data(b.clone())); | ||
let str_col = (0..5).map(|_| StringType::from_data(s.clone())); | ||
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group.bench_function(format!("concat_string_offset/{length}"), |b| { | ||
b.iter(|| Column::concat_columns(bin_col.clone()).unwrap()) | ||
}); | ||
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group.bench_function(format!("concat_string_view/{length}"), |b| { | ||
b.iter(|| Column::concat_columns(str_col.clone()).unwrap()) | ||
}); | ||
} | ||
} | ||
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// take compact | ||
{ | ||
for length in [12, 20, 500] { | ||
let (s, b) = generate_random_string_data(&mut rng, length); | ||
let block_bin = DataBlock::new_from_columns(vec![BinaryType::from_data(b.clone())]); | ||
let block_view = DataBlock::new_from_columns(vec![StringType::from_data(s.clone())]); | ||
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let indices: Vec<(u32, u32)> = (0..s.len()) | ||
.filter(|x| x % 10 == 0) | ||
.map(|x| (x as u32, 1000)) | ||
.collect(); | ||
let num_rows = indices.len() * 1000; | ||
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group.bench_function(format!("take_compact_string_offset/{length}"), |b| { | ||
b.iter(|| { | ||
block_bin | ||
.take_compacted_indices(&indices, num_rows) | ||
.unwrap() | ||
}) | ||
}); | ||
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group.bench_function(format!("take_compact_string_view/{length}"), |b| { | ||
b.iter(|| { | ||
block_view | ||
.take_compacted_indices(&indices, num_rows) | ||
.unwrap() | ||
}) | ||
}); | ||
} | ||
} | ||
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// IPC | ||
// bench_kernels/serialize_string_offset/12 | ||
// time: [183.25 µs 183.49 µs 183.93 µs] | ||
// Found 7 outliers among 100 measurements (7.00%) | ||
// 3 (3.00%) high mild | ||
// 4 (4.00%) high severe | ||
// bench_kernels/serialize_string_view/12 | ||
// time: [415.25 µs 415.36 µs 415.47 µs] | ||
// Found 6 outliers among 100 measurements (6.00%) | ||
// 3 (3.00%) high mild | ||
// 3 (3.00%) high severe | ||
// bench_kernels/serialize_string_offset/20 | ||
// time: [195.09 µs 195.15 µs 195.23 µs] | ||
// Found 6 outliers among 100 measurements (6.00%) | ||
// 6 (6.00%) high mild | ||
// bench_kernels/serialize_string_view/20 | ||
// time: [464.96 µs 465.08 µs 465.21 µs] | ||
// Found 4 outliers among 100 measurements (4.00%) | ||
// 4 (4.00%) high mild | ||
// bench_kernels/serialize_string_offset/500 | ||
// time: [3.3092 ms 3.3139 ms 3.3194 ms] | ||
// Found 2 outliers among 100 measurements (2.00%) | ||
// 1 (1.00%) high mild | ||
// 1 (1.00%) high severe | ||
// bench_kernels/serialize_string_view/500 | ||
// time: [3.9254 ms 3.9303 ms 3.9366 ms] | ||
// Found 9 outliers among 100 measurements (9.00%) | ||
// 4 (4.00%) high mild | ||
// 5 (5.00%) high severe | ||
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{ | ||
for length in [12, 20, 500] { | ||
let (s, b) = generate_random_string_data(&mut rng, length); | ||
let b_c = BinaryType::from_data(b.clone()); | ||
let s_c = StringType::from_data(s.clone()); | ||
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group.bench_function(format!("serialize_string_offset/{length}"), |b| { | ||
b.iter(|| { | ||
let bs = serialize_column(&b_c); | ||
deserialize_column(&bs).unwrap(); | ||
}) | ||
}); | ||
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group.bench_function(format!("serialize_string_view/{length}"), |b| { | ||
b.iter(|| { | ||
let bs = serialize_column(&s_c); | ||
deserialize_column(&bs).unwrap(); | ||
}) | ||
}); | ||
} | ||
} | ||
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for length in [10240, 102400] { | ||
let (left, right) = generate_random_int_data(&mut rng, length); | ||
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group.bench_function(format!("function_iterator_iterator_v1/{length}"), |b| { | ||
b.iter(|| { | ||
let left = left.clone(); | ||
let right = right.clone(); | ||
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let _c = left | ||
.into_iter() | ||
.zip(right.into_iter()) | ||
.map(|(a, b)| a + b) | ||
.collect::<Vec<i32>>(); | ||
}) | ||
}); | ||
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group.bench_function(format!("function_iterator_iterator_v2/{length}"), |b| { | ||
b.iter(|| { | ||
let _c = left | ||
.iter() | ||
.cloned() | ||
.zip(right.iter().cloned()) | ||
.map(|(a, b)| a + b) | ||
.collect::<Vec<i32>>(); | ||
}) | ||
}); | ||
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group.bench_function( | ||
format!("function_buffer_index_unchecked_iterator/{length}"), | ||
|b| { | ||
b.iter(|| { | ||
let _c = (0..length) | ||
.map(|i| unsafe { left.get_unchecked(i) + right.get_unchecked(i) }) | ||
.collect::<Vec<i32>>(); | ||
}) | ||
}, | ||
); | ||
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group.bench_function( | ||
format!("function_slice_index_unchecked_iterator/{length}"), | ||
|b| { | ||
b.iter(|| { | ||
let left = left.as_slice(); | ||
let right = right.as_slice(); | ||
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let _c = (0..length) | ||
.map(|i| unsafe { left.get_unchecked(i) + right.get_unchecked(i) }) | ||
.collect::<Vec<i32>>(); | ||
}) | ||
}, | ||
); | ||
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let left_vec: Vec<_> = left.iter().cloned().collect(); | ||
let right_vec: Vec<_> = right.iter().cloned().collect(); | ||
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group.bench_function( | ||
format!("function_vec_index_unchecked_iterator/{length}"), | ||
|b| { | ||
b.iter(|| { | ||
let _c = (0..length) | ||
.map(|i| unsafe { left_vec.get_unchecked(i) + right_vec.get_unchecked(i) }) | ||
.collect::<Vec<i32>>(); | ||
}) | ||
}, | ||
); | ||
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group.bench_function(format!("function_buffer_index_iterator/{length}"), |b| { | ||
b.iter(|| { | ||
let _c = (0..length) | ||
.map(|i| left[i] + right[i]) | ||
.collect::<Vec<i32>>(); | ||
}) | ||
}); | ||
} | ||
} | ||
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criterion_group!(benches, bench); | ||
criterion_main!(benches); | ||
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fn generate_random_string_data(rng: &mut StdRng, length: usize) -> (Vec<String>, Vec<Vec<u8>>) { | ||
let iter_str: Vec<_> = (0..10000) | ||
.map(|_| { | ||
let random_string: String = (0..length) | ||
.map(|_| { | ||
// Generate a random character (ASCII printable characters) | ||
rng.gen_range(32..=126) as u8 as char | ||
}) | ||
.collect(); | ||
random_string | ||
}) | ||
.collect(); | ||
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let iter_binary: Vec<_> = iter_str | ||
.iter() | ||
.map(|x| x.clone().as_bytes().to_vec()) | ||
.collect(); | ||
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(iter_str, iter_binary) | ||
} | ||
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fn generate_random_int_data(rng: &mut StdRng, length: usize) -> (Buffer<i32>, Buffer<i32>) { | ||
let s: Buffer<i32> = (0..length).map(|_| rng.gen_range(-1000..1000)).collect(); | ||
let b: Buffer<i32> = (0..length).map(|_| rng.gen_range(-1000..1000)).collect(); | ||
(s, b) | ||
} |
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