BenchmarkTupleDomainParquetPredicate.java
/*
* Licensed 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.
*/
package com.facebook.presto.parquet.predicate;
import com.facebook.presto.common.predicate.Domain;
import com.facebook.presto.parquet.DictionaryPage;
import com.facebook.presto.parquet.ParquetEncoding;
import io.airlift.slice.DynamicSliceOutput;
import io.airlift.slice.Slice;
import org.apache.parquet.column.ColumnDescriptor;
import org.openjdk.jmh.annotations.Benchmark;
import org.openjdk.jmh.annotations.BenchmarkMode;
import org.openjdk.jmh.annotations.Fork;
import org.openjdk.jmh.annotations.Level;
import org.openjdk.jmh.annotations.Measurement;
import org.openjdk.jmh.annotations.Mode;
import org.openjdk.jmh.annotations.OutputTimeUnit;
import org.openjdk.jmh.annotations.Scope;
import org.openjdk.jmh.annotations.Setup;
import org.openjdk.jmh.annotations.State;
import org.openjdk.jmh.annotations.Warmup;
import org.openjdk.jmh.runner.Runner;
import org.openjdk.jmh.runner.RunnerException;
import org.openjdk.jmh.runner.options.Options;
import org.openjdk.jmh.runner.options.OptionsBuilder;
import org.openjdk.jmh.runner.options.VerboseMode;
import org.testng.annotations.Test;
import java.io.IOException;
import java.util.ArrayList;
import java.util.List;
import java.util.Optional;
import java.util.concurrent.ThreadLocalRandom;
import java.util.concurrent.TimeUnit;
import static com.facebook.presto.common.type.BigintType.BIGINT;
import static org.apache.parquet.schema.PrimitiveType.PrimitiveTypeName.INT64;
@Fork(1)
@Warmup(iterations = 5)
@Measurement(iterations = 10)
@OutputTimeUnit(TimeUnit.MILLISECONDS)
@BenchmarkMode(Mode.AverageTime)
public class BenchmarkTupleDomainParquetPredicate
{
@Benchmark
public List<?> domainFromDictionary(Data data)
{
List<Domain> result = new ArrayList<>(data.bigintDictionaries.size());
for (DictionaryDescriptor dictionary : data.bigintDictionaries) {
result.add(TupleDomainParquetPredicate.getDomain(BIGINT, dictionary));
}
return result;
}
@State(Scope.Thread)
public static class Data
{
public List<DictionaryDescriptor> bigintDictionaries;
@Setup(Level.Iteration)
public void init()
{
bigintDictionaries = new ArrayList<>();
for (int i = 0; i < 1_000; i++) {
bigintDictionaries.add(createBigintDictionary());
}
}
private DictionaryDescriptor createBigintDictionary()
{
int size = 1_000;
Slice slice;
try (DynamicSliceOutput sliceOutput = new DynamicSliceOutput(0)) {
for (int i = 0; i < size; i++) {
sliceOutput.appendLong(ThreadLocalRandom.current().nextLong());
}
slice = sliceOutput.slice();
}
catch (IOException e) {
throw new RuntimeException(e);
}
return new DictionaryDescriptor(
new ColumnDescriptor(new String[] {"path"}, INT64, 0, 0),
Optional.of(
new DictionaryPage(
slice,
slice.length(),
size,
ParquetEncoding.PLAIN)));
}
}
@Test
public void test()
{
Data data = new Data();
data.init();
domainFromDictionary(data);
}
public static void main(String[] args)
throws RunnerException
{
Options options = new OptionsBuilder()
.verbosity(VerboseMode.NORMAL)
.include(".*" + BenchmarkTupleDomainParquetPredicate.class.getSimpleName() + ".*")
.build();
new Runner(options).run();
}
}