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// 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.
use arrow::datatypes::{DataType, Field};
use criterion::{Criterion, criterion_group, criterion_main};
use datafusion_common::config::ConfigOptions;
use datafusion_expr::{ScalarFunctionArgs, ScalarUDFImpl};
use datafusion_functions::math::random::RandomFunc;
use std::hint::black_box;
use std::sync::Arc;
fn criterion_benchmark(c: &mut Criterion) {
let random_func = RandomFunc::new();
let return_field = Field::new("f", DataType::Float64, true).into();
let config_options = Arc::new(ConfigOptions::default());
// Benchmark to evaluate 1M rows in batch size 8192
let iterations = 1_000_000 / 8192; // Calculate how many iterations are needed to reach approximately 1M rows
c.bench_function("random_1M_rows_batch_8192", |b| {
b.iter(|| {
for _ in 0..iterations {
black_box(
random_func
.invoke_with_args(ScalarFunctionArgs {
args: vec![],
arg_fields: vec![],
number_rows: 8192,
return_field: Arc::clone(&return_field),
config_options: Arc::clone(&config_options),
})
.unwrap(),
);
}
})
});
let return_field = Field::new("f", DataType::Float64, true).into();
// Benchmark to evaluate 1M rows in batch size 128
let iterations_128 = 1_000_000 / 128; // Calculate how many iterations are needed to reach approximately 1M rows with batch size 128
c.bench_function("random_1M_rows_batch_128", |b| {
b.iter(|| {
for _ in 0..iterations_128 {
black_box(
random_func
.invoke_with_args(ScalarFunctionArgs {
args: vec![],
arg_fields: vec![],
number_rows: 128,
return_field: Arc::clone(&return_field),
config_options: Arc::clone(&config_options),
})
.unwrap(),
);
}
})
});
}
criterion_group!(benches, criterion_benchmark);
criterion_main!(benches);