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row_format.rs
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row_format.rs
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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.
#[macro_use]
extern crate criterion;
extern crate core;
use arrow::array::ArrayRef;
use arrow::datatypes::{Int64Type, UInt64Type};
use arrow::row::{RowConverter, SortField};
use arrow::util::bench_util::{
create_primitive_array, create_string_array_with_len, create_string_dict_array,
};
use arrow_array::types::Int32Type;
use arrow_array::Array;
use criterion::{black_box, Criterion};
use std::sync::Arc;
fn do_bench(c: &mut Criterion, name: &str, cols: Vec<ArrayRef>) {
let fields: Vec<_> = cols
.iter()
.map(|x| SortField::new(x.data_type().clone()))
.collect();
c.bench_function(&format!("convert_columns {}", name), |b| {
b.iter(|| {
let mut converter = RowConverter::new(fields.clone());
black_box(converter.convert_columns(&cols).unwrap())
});
});
let mut converter = RowConverter::new(fields);
let rows = converter.convert_columns(&cols).unwrap();
c.bench_function(&format!("convert_rows {}", name), |b| {
b.iter(|| black_box(converter.convert_rows(&rows).unwrap()));
});
}
fn row_bench(c: &mut Criterion) {
let cols = vec![Arc::new(create_primitive_array::<UInt64Type>(4096, 0.)) as ArrayRef];
do_bench(c, "4096 u64(0)", cols);
let cols = vec![Arc::new(create_primitive_array::<Int64Type>(4096, 0.)) as ArrayRef];
do_bench(c, "4096 i64(0)", cols);
let cols =
vec![Arc::new(create_string_array_with_len::<i32>(4096, 0., 10)) as ArrayRef];
do_bench(c, "4096 string(10, 0)", cols);
let cols =
vec![Arc::new(create_string_array_with_len::<i32>(4096, 0., 30)) as ArrayRef];
do_bench(c, "4096 string(30, 0)", cols);
let cols =
vec![Arc::new(create_string_array_with_len::<i32>(4096, 0., 100)) as ArrayRef];
do_bench(c, "4096 string(100, 0)", cols);
let cols =
vec![Arc::new(create_string_array_with_len::<i32>(4096, 0.5, 100)) as ArrayRef];
do_bench(c, "4096 string(100, 0.5)", cols);
let cols =
vec![Arc::new(create_string_dict_array::<Int32Type>(4096, 0., 10)) as ArrayRef];
do_bench(c, "4096 string_dictionary(10, 0)", cols);
let cols =
vec![Arc::new(create_string_dict_array::<Int32Type>(4096, 0., 30)) as ArrayRef];
do_bench(c, "4096 string_dictionary(30, 0)", cols);
let cols =
vec![Arc::new(create_string_dict_array::<Int32Type>(4096, 0., 100)) as ArrayRef];
do_bench(c, "4096 string_dictionary(100, 0)", cols);
let cols =
vec![Arc::new(create_string_dict_array::<Int32Type>(4096, 0.5, 100)) as ArrayRef];
do_bench(c, "4096 string_dictionary(100, 0.5)", cols);
let cols = vec![
Arc::new(create_string_array_with_len::<i32>(4096, 0.5, 20)) as ArrayRef,
Arc::new(create_string_array_with_len::<i32>(4096, 0., 30)) as ArrayRef,
Arc::new(create_string_array_with_len::<i32>(4096, 0., 100)) as ArrayRef,
Arc::new(create_primitive_array::<Int64Type>(4096, 0.)) as ArrayRef,
];
do_bench(
c,
"4096 string(20, 0.5), string(30, 0), string(100, 0), i64(0)",
cols,
);
let cols = vec![
Arc::new(create_string_dict_array::<Int32Type>(4096, 0.5, 20)) as ArrayRef,
Arc::new(create_string_dict_array::<Int32Type>(4096, 0., 30)) as ArrayRef,
Arc::new(create_string_dict_array::<Int32Type>(4096, 0., 100)) as ArrayRef,
Arc::new(create_primitive_array::<Int64Type>(4096, 0.)) as ArrayRef,
];
do_bench(c, "4096 4096 string_dictionary(20, 0.5), string_dictionary(30, 0), string_dictionary(100, 0), i64(0)", cols);
}
criterion_group!(benches, row_bench);
criterion_main!(benches);