blob: 62c5da9803124453e306b6b2a229a74989c68c7a [file] [log] [blame]
// 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.
extern crate arrow;
extern crate criterion;
use criterion::*;
use arrow::array::*;
#[cfg(feature = "csv")]
use arrow::csv;
use arrow::datatypes::*;
use arrow::record_batch::RecordBatch;
use std::fs::File;
use std::sync::Arc;
fn criterion_benchmark(c: &mut Criterion) {
#[cfg(feature = "csv")]
{
let schema = Schema::new(vec![
Field::new("c1", DataType::Utf8, false),
Field::new("c2", DataType::Float64, true),
Field::new("c3", DataType::UInt32, false),
Field::new("c4", DataType::Boolean, true),
]);
let c1 = StringArray::from(vec![
"Lorem ipsum dolor sit amet",
"consectetur adipiscing elit",
"sed do eiusmod tempor",
]);
let c2 = PrimitiveArray::<Float64Type>::from(vec![
Some(123.564532),
None,
Some(-556132.25),
]);
let c3 = PrimitiveArray::<UInt32Type>::from(vec![3, 2, 1]);
let c4 = BooleanArray::from(vec![Some(true), Some(false), None]);
let b = RecordBatch::try_new(
Arc::new(schema),
vec![Arc::new(c1), Arc::new(c2), Arc::new(c3), Arc::new(c4)],
)
.unwrap();
let file = File::create("target/bench_write_csv.csv").unwrap();
let mut writer = csv::Writer::new(file);
let batches = vec![&b, &b, &b, &b, &b, &b, &b, &b, &b, &b, &b];
c.bench_function("record_batches_to_csv", |b| {
b.iter(|| {
#[allow(clippy::unit_arg)]
criterion::black_box(for batch in &batches {
writer.write(batch).unwrap()
});
});
});
}
}
criterion_group!(benches, criterion_benchmark);
criterion_main!(benches);