io.druid.benchmark.LongCompressionBenchmark Maven / Gradle / Ivy
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package io.druid.benchmark;
import com.google.common.base.Supplier;
import com.google.common.io.Files;
import io.druid.segment.data.CompressedLongsIndexedSupplier;
import io.druid.segment.data.IndexedLongs;
import org.openjdk.jmh.annotations.Benchmark;
import org.openjdk.jmh.annotations.BenchmarkMode;
import org.openjdk.jmh.annotations.Fork;
import org.openjdk.jmh.annotations.Measurement;
import org.openjdk.jmh.annotations.Mode;
import org.openjdk.jmh.annotations.OutputTimeUnit;
import org.openjdk.jmh.annotations.Param;
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.infra.Blackhole;
import java.io.File;
import java.io.IOException;
import java.nio.ByteBuffer;
import java.nio.ByteOrder;
import java.util.Random;
import java.util.concurrent.TimeUnit;
// Run LongCompressionBenchmarkFileGenerator to generate the required files before running this benchmark
@State(Scope.Benchmark)
@Fork(value = 1)
@Warmup(iterations = 10)
@Measurement(iterations = 25)
@BenchmarkMode(Mode.AverageTime)
@OutputTimeUnit(TimeUnit.MILLISECONDS)
public class LongCompressionBenchmark
{
@Param("longCompress/")
private static String dirPath;
@Param({"enumerate", "zipfLow", "zipfHigh", "sequential", "uniform"})
private static String file;
@Param({"auto", "longs"})
private static String format;
@Param({"lz4", "none"})
private static String strategy;
private Random rand;
private Supplier supplier;
@Setup
public void setup() throws Exception
{
File dir = new File(dirPath);
File compFile = new File(dir, file + "-" + strategy + "-" + format);
rand = new Random();
ByteBuffer buffer = Files.map(compFile);
supplier = CompressedLongsIndexedSupplier.fromByteBuffer(buffer, ByteOrder.nativeOrder(), null);
}
@Benchmark
public void readContinuous(Blackhole bh) throws IOException
{
IndexedLongs indexedLongs = supplier.get();
int count = indexedLongs.size();
long sum = 0;
for (int i = 0; i < count; i++) {
sum += indexedLongs.get(i);
}
bh.consume(sum);
indexedLongs.close();
}
@Benchmark
public void readSkipping(Blackhole bh) throws IOException
{
IndexedLongs indexedLongs = supplier.get();
int count = indexedLongs.size();
long sum = 0;
for (int i = 0; i < count; i += rand.nextInt(2000)) {
sum += indexedLongs.get(i);
}
bh.consume(sum);
indexedLongs.close();
}
}
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