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| 1 | +// Licensed to the Apache Software Foundation (ASF) under one |
| 2 | +// or more contributor license agreements. See the NOTICE file |
| 3 | +// distributed with this work for additional information |
| 4 | +// regarding copyright ownership. The ASF licenses this file |
| 5 | +// to you under the Apache License, Version 2.0 (the |
| 6 | +// "License"); you may not use this file except in compliance |
| 7 | +// with the License. You may obtain a copy of the License at |
| 8 | +// |
| 9 | +// http://www.apache.org/licenses/LICENSE-2.0 |
| 10 | +// |
| 11 | +// Unless required by applicable law or agreed to in writing, |
| 12 | +// software distributed under the License is distributed on an |
| 13 | +// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY |
| 14 | +// KIND, either express or implied. See the License for the |
| 15 | +// specific language governing permissions and limitations |
| 16 | +// under the License. |
| 17 | + |
| 18 | +extern crate criterion; |
| 19 | + |
| 20 | +use arrow::array::*; |
| 21 | +use arrow::datatypes::*; |
| 22 | +use criterion::{Criterion, criterion_group, criterion_main}; |
| 23 | +use datafusion_common::config::ConfigOptions; |
| 24 | +use datafusion_expr::{ColumnarValue, ScalarFunctionArgs, ScalarUDFImpl}; |
| 25 | +use datafusion_spark::function::math::hex::SparkHex; |
| 26 | +use rand::rngs::StdRng; |
| 27 | +use rand::{Rng, SeedableRng}; |
| 28 | +use std::hint::black_box; |
| 29 | +use std::sync::Arc; |
| 30 | + |
| 31 | +fn seedable_rng() -> StdRng { |
| 32 | + StdRng::seed_from_u64(42) |
| 33 | +} |
| 34 | + |
| 35 | +fn generate_int64_data(size: usize, null_density: f32) -> PrimitiveArray<Int64Type> { |
| 36 | + let mut rng = seedable_rng(); |
| 37 | + (0..size) |
| 38 | + .map(|_| { |
| 39 | + if rng.random::<f32>() < null_density { |
| 40 | + None |
| 41 | + } else { |
| 42 | + Some(rng.random_range::<i64, _>(-999_999_999_999..999_999_999_999)) |
| 43 | + } |
| 44 | + }) |
| 45 | + .collect() |
| 46 | +} |
| 47 | + |
| 48 | +fn generate_utf8_data(size: usize, null_density: f32) -> StringArray { |
| 49 | + let mut rng = seedable_rng(); |
| 50 | + let mut builder = StringBuilder::new(); |
| 51 | + for _ in 0..size { |
| 52 | + if rng.random::<f32>() < null_density { |
| 53 | + builder.append_null(); |
| 54 | + } else { |
| 55 | + let len = rng.random_range::<usize, _>(1..=100); |
| 56 | + let s: String = |
| 57 | + std::iter::repeat_with(|| rng.random_range(b'a'..=b'z') as char) |
| 58 | + .take(len) |
| 59 | + .collect(); |
| 60 | + builder.append_value(&s); |
| 61 | + } |
| 62 | + } |
| 63 | + builder.finish() |
| 64 | +} |
| 65 | + |
| 66 | +fn generate_binary_data(size: usize, null_density: f32) -> BinaryArray { |
| 67 | + let mut rng = seedable_rng(); |
| 68 | + let mut builder = BinaryBuilder::new(); |
| 69 | + for _ in 0..size { |
| 70 | + if rng.random::<f32>() < null_density { |
| 71 | + builder.append_null(); |
| 72 | + } else { |
| 73 | + let len = rng.random_range::<usize, _>(1..=100); |
| 74 | + let bytes: Vec<u8> = (0..len).map(|_| rng.random()).collect(); |
| 75 | + builder.append_value(&bytes); |
| 76 | + } |
| 77 | + } |
| 78 | + builder.finish() |
| 79 | +} |
| 80 | + |
| 81 | +fn generate_int64_dict_data( |
| 82 | + size: usize, |
| 83 | + null_density: f32, |
| 84 | +) -> DictionaryArray<Int32Type> { |
| 85 | + let mut rng = seedable_rng(); |
| 86 | + let mut builder = PrimitiveDictionaryBuilder::<Int32Type, Int64Type>::new(); |
| 87 | + for _ in 0..size { |
| 88 | + if rng.random::<f32>() < null_density { |
| 89 | + builder.append_null(); |
| 90 | + } else { |
| 91 | + builder.append_value( |
| 92 | + rng.random_range::<i64, _>(-999_999_999_999..999_999_999_999), |
| 93 | + ); |
| 94 | + } |
| 95 | + } |
| 96 | + builder.finish() |
| 97 | +} |
| 98 | + |
| 99 | +fn run_benchmark(c: &mut Criterion, name: &str, size: usize, array: Arc<dyn Array>) { |
| 100 | + let hex_func = SparkHex::new(); |
| 101 | + let args = vec![ColumnarValue::Array(array)]; |
| 102 | + let arg_fields: Vec<_> = args |
| 103 | + .iter() |
| 104 | + .enumerate() |
| 105 | + .map(|(idx, arg)| Field::new(format!("arg_{idx}"), arg.data_type(), true).into()) |
| 106 | + .collect(); |
| 107 | + let config_options = Arc::new(ConfigOptions::default()); |
| 108 | + |
| 109 | + c.bench_function(&format!("{name}/size={size}"), |b| { |
| 110 | + b.iter(|| { |
| 111 | + black_box( |
| 112 | + hex_func |
| 113 | + .invoke_with_args(ScalarFunctionArgs { |
| 114 | + args: args.clone(), |
| 115 | + arg_fields: arg_fields.clone(), |
| 116 | + number_rows: size, |
| 117 | + return_field: Arc::new(Field::new("f", DataType::Utf8, true)), |
| 118 | + config_options: Arc::clone(&config_options), |
| 119 | + }) |
| 120 | + .unwrap(), |
| 121 | + ) |
| 122 | + }) |
| 123 | + }); |
| 124 | +} |
| 125 | + |
| 126 | +fn criterion_benchmark(c: &mut Criterion) { |
| 127 | + let sizes = vec![1024, 4096, 8192]; |
| 128 | + let null_density = 0.1; |
| 129 | + |
| 130 | + for &size in &sizes { |
| 131 | + let data = generate_int64_data(size, null_density); |
| 132 | + run_benchmark(c, "hex_int64", size, Arc::new(data)); |
| 133 | + } |
| 134 | + |
| 135 | + for &size in &sizes { |
| 136 | + let data = generate_utf8_data(size, null_density); |
| 137 | + run_benchmark(c, "hex_utf8", size, Arc::new(data)); |
| 138 | + } |
| 139 | + |
| 140 | + for &size in &sizes { |
| 141 | + let data = generate_binary_data(size, null_density); |
| 142 | + run_benchmark(c, "hex_binary", size, Arc::new(data)); |
| 143 | + } |
| 144 | + |
| 145 | + for &size in &sizes { |
| 146 | + let data = generate_int64_dict_data(size, null_density); |
| 147 | + run_benchmark(c, "hex_int64_dict", size, Arc::new(data)); |
| 148 | + } |
| 149 | +} |
| 150 | + |
| 151 | +criterion_group!(benches, criterion_benchmark); |
| 152 | +criterion_main!(benches); |
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