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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 | +use std::sync::Arc; |
| 19 | + |
| 20 | +use arrow::array::{Array, ArrayRef, ArrowPrimitiveType, AsArray, ListArray}; |
| 21 | +use arrow::datatypes::Int64Type; |
| 22 | +use arrow::util::bench_util::create_primitive_array; |
| 23 | +use arrow_schema::Field; |
| 24 | +use criterion::{black_box, criterion_group, criterion_main, Criterion}; |
| 25 | +use datafusion_expr::Accumulator; |
| 26 | +use datafusion_functions_aggregate::array_agg::ArrayAggAccumulator; |
| 27 | + |
| 28 | +use arrow::util::test_util::seedable_rng; |
| 29 | +use arrow_buffer::{NullBufferBuilder, OffsetBuffer}; |
| 30 | +use rand::distributions::{Distribution, Standard}; |
| 31 | +use rand::Rng; |
| 32 | + |
| 33 | +fn merge_batch_bench(c: &mut Criterion, name: &str, values: ArrayRef) { |
| 34 | + let list_item_data_type = values.as_list::<i32>().values().data_type().clone(); |
| 35 | + c.bench_function(name, |b| { |
| 36 | + b.iter(|| { |
| 37 | + #[allow(clippy::unit_arg)] |
| 38 | + black_box( |
| 39 | + ArrayAggAccumulator::try_new(&list_item_data_type) |
| 40 | + .unwrap() |
| 41 | + .merge_batch(&[values.clone()]) |
| 42 | + .unwrap(), |
| 43 | + ) |
| 44 | + }) |
| 45 | + }); |
| 46 | +} |
| 47 | + |
| 48 | +/// Create List array with the given item data type, null density, null locations and zero length lists density |
| 49 | +/// Creates an random (but fixed-seeded) array of a given size and null density |
| 50 | +pub fn create_list_array<T>( |
| 51 | + size: usize, |
| 52 | + null_density: f32, |
| 53 | + zero_length_lists_probability: f32, |
| 54 | +) -> ListArray |
| 55 | +where |
| 56 | + T: ArrowPrimitiveType, |
| 57 | + Standard: Distribution<T::Native>, |
| 58 | +{ |
| 59 | + let mut nulls_builder = NullBufferBuilder::new(size); |
| 60 | + let mut rng = seedable_rng(); |
| 61 | + |
| 62 | + let offsets = OffsetBuffer::from_lengths((0..size).map(|_| { |
| 63 | + let is_null = rng.gen::<f32>() < null_density; |
| 64 | + |
| 65 | + let mut length = rng.gen_range(1..10); |
| 66 | + |
| 67 | + if is_null { |
| 68 | + nulls_builder.append_null(); |
| 69 | + |
| 70 | + if rng.gen::<f32>() <= zero_length_lists_probability { |
| 71 | + length = 0; |
| 72 | + } |
| 73 | + } else { |
| 74 | + nulls_builder.append_non_null(); |
| 75 | + } |
| 76 | + |
| 77 | + length |
| 78 | + })); |
| 79 | + |
| 80 | + let length = *offsets.last().unwrap() as usize; |
| 81 | + |
| 82 | + let values = create_primitive_array::<T>(length, 0.0); |
| 83 | + |
| 84 | + let field = Field::new_list_field(T::DATA_TYPE, true); |
| 85 | + |
| 86 | + ListArray::new( |
| 87 | + Arc::new(field), |
| 88 | + offsets, |
| 89 | + Arc::new(values), |
| 90 | + nulls_builder.finish(), |
| 91 | + ) |
| 92 | +} |
| 93 | + |
| 94 | +fn array_agg_benchmark(c: &mut Criterion) { |
| 95 | + let values = Arc::new(create_list_array::<Int64Type>(8192, 0.0, 1.0)) as ArrayRef; |
| 96 | + merge_batch_bench(c, "array_agg i64 merge_batch no nulls", values); |
| 97 | + |
| 98 | + let values = Arc::new(create_list_array::<Int64Type>(8192, 1.0, 1.0)) as ArrayRef; |
| 99 | + merge_batch_bench( |
| 100 | + c, |
| 101 | + "array_agg i64 merge_batch all nulls, 100% of nulls point to a zero length array", |
| 102 | + values, |
| 103 | + ); |
| 104 | + |
| 105 | + let values = Arc::new(create_list_array::<Int64Type>(8192, 1.0, 0.9)) as ArrayRef; |
| 106 | + merge_batch_bench( |
| 107 | + c, |
| 108 | + "array_agg i64 merge_batch all nulls, 90% of nulls point to a zero length array", |
| 109 | + values, |
| 110 | + ); |
| 111 | + |
| 112 | + // All nulls point to a 0 length array |
| 113 | + |
| 114 | + let values = Arc::new(create_list_array::<Int64Type>(8192, 0.3, 1.0)) as ArrayRef; |
| 115 | + merge_batch_bench( |
| 116 | + c, |
| 117 | + "array_agg i64 merge_batch 30% nulls, 100% of nulls point to a zero length array", |
| 118 | + values, |
| 119 | + ); |
| 120 | + |
| 121 | + let values = Arc::new(create_list_array::<Int64Type>(8192, 0.7, 1.0)) as ArrayRef; |
| 122 | + merge_batch_bench( |
| 123 | + c, |
| 124 | + "array_agg i64 merge_batch 70% nulls, 100% of nulls point to a zero length array", |
| 125 | + values, |
| 126 | + ); |
| 127 | + |
| 128 | + let values = Arc::new(create_list_array::<Int64Type>(8192, 0.3, 0.99)) as ArrayRef; |
| 129 | + merge_batch_bench( |
| 130 | + c, |
| 131 | + "array_agg i64 merge_batch 30% nulls, 99% of nulls point to a zero length array", |
| 132 | + values, |
| 133 | + ); |
| 134 | + |
| 135 | + let values = Arc::new(create_list_array::<Int64Type>(8192, 0.7, 0.99)) as ArrayRef; |
| 136 | + merge_batch_bench( |
| 137 | + c, |
| 138 | + "array_agg i64 merge_batch 70% nulls, 99% of nulls point to a zero length array", |
| 139 | + values, |
| 140 | + ); |
| 141 | + |
| 142 | + let values = Arc::new(create_list_array::<Int64Type>(8192, 0.3, 0.9)) as ArrayRef; |
| 143 | + merge_batch_bench( |
| 144 | + c, |
| 145 | + "array_agg i64 merge_batch 30% nulls, 90% of nulls point to a zero length array", |
| 146 | + values, |
| 147 | + ); |
| 148 | + |
| 149 | + let values = Arc::new(create_list_array::<Int64Type>(8192, 0.7, 0.9)) as ArrayRef; |
| 150 | + merge_batch_bench( |
| 151 | + c, |
| 152 | + "array_agg i64 merge_batch 70% nulls, 90% of nulls point to a zero length array", |
| 153 | + values, |
| 154 | + ); |
| 155 | + |
| 156 | + let values = Arc::new(create_list_array::<Int64Type>(8192, 0.3, 0.50)) as ArrayRef; |
| 157 | + merge_batch_bench( |
| 158 | + c, |
| 159 | + "array_agg i64 merge_batch 30% nulls, 50% of nulls point to a zero length array", |
| 160 | + values, |
| 161 | + ); |
| 162 | + |
| 163 | + let values = Arc::new(create_list_array::<Int64Type>(8192, 0.7, 0.50)) as ArrayRef; |
| 164 | + merge_batch_bench( |
| 165 | + c, |
| 166 | + "array_agg i64 merge_batch 70% nulls, 50% of nulls point to a zero length array", |
| 167 | + values, |
| 168 | + ); |
| 169 | + |
| 170 | + let values = Arc::new(create_list_array::<Int64Type>(8192, 0.3, 0.0)) as ArrayRef; |
| 171 | + merge_batch_bench( |
| 172 | + c, |
| 173 | + "array_agg i64 merge_batch 30% nulls, 0% of nulls point to a zero length array", |
| 174 | + values, |
| 175 | + ); |
| 176 | + |
| 177 | + let values = Arc::new(create_list_array::<Int64Type>(8192, 0.7, 0.0)) as ArrayRef; |
| 178 | + merge_batch_bench( |
| 179 | + c, |
| 180 | + "array_agg i64 merge_batch 70% nulls, 0% of nulls point to a zero length array", |
| 181 | + values, |
| 182 | + ); |
| 183 | +} |
| 184 | + |
| 185 | +criterion_group!(benches, array_agg_benchmark); |
| 186 | +criterion_main!(benches); |
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