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ExponentialHistogramIndexerBenchmark.java
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ExponentialHistogramIndexerBenchmark.java
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/*
* Copyright The OpenTelemetry Authors
* SPDX-License-Identifier: Apache-2.0
*/
package io.opentelemetry.sdk.metrics.internal.aggregator;
import java.util.Random;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.atomic.AtomicLong;
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.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;
/** Measures runtime cost of computing bucket indexes for exponential histograms. */
@BenchmarkMode(Mode.AverageTime)
@OutputTimeUnit(TimeUnit.NANOSECONDS)
@Measurement(iterations = 5, time = 1)
@Warmup(iterations = 5, time = 1)
@Fork(1)
public class ExponentialHistogramIndexerBenchmark {
@State(Scope.Thread)
public static class ThreadState {
@Param(value = {"1", "0", "-1"})
int scale;
private double[] values;
private final AtomicLong valueIndex = new AtomicLong();
private ExponentialHistogramIndexer indexer;
@Setup(Level.Trial)
public final void setup() {
Random random = new Random();
int numValues = 2000;
values = new double[numValues];
for (int i = 0; i < numValues; i++) {
values[i] = random.nextDouble() * 1000;
}
indexer = ExponentialHistogramIndexer.get(scale);
}
public void compute() {
// Compute a number of samples
for (int i = 0; i < 2000; i++) {
indexer.computeIndex(values[(int) (valueIndex.incrementAndGet() % values.length)]);
}
}
}
@Benchmark
public void computeIndex(ThreadState threadState) {
threadState.compute();
}
}