view jmh-samples/src/main/java/org/openjdk/jmh/samples/JMHSample_09_Blackholes.java @ 1436:fbe1b55eadf8

7902088: External profilers should be called with before/afterTrial during warmup forks
author shade
date Thu, 21 Dec 2017 08:21:17 +0100
parents 5fdbb732ea81
children 56576f4dc727
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/*
 * Copyright (c) 2014, Oracle America, Inc.
 * All rights reserved.
 *
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 *
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 *    this list of conditions and the following disclaimer.
 *
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 *    specific prior written permission.
 *
 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
 * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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 * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
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package org.openjdk.jmh.samples;

import org.openjdk.jmh.annotations.*;
import org.openjdk.jmh.infra.Blackhole;
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 java.util.concurrent.TimeUnit;

@BenchmarkMode(Mode.AverageTime)
@OutputTimeUnit(TimeUnit.NANOSECONDS)
@State(Scope.Thread)
public class JMHSample_09_Blackholes {

    /*
     * Should your benchmark require returning multiple results, you have to
     * consider two options (detailed below).
     *
     * NOTE: If you are only producing a single result, it is more readable to
     * use the implicit return, as in JMHSample_08_DeadCode. Do not make your benchmark
     * code less readable with explicit Blackholes!
     */

    double x1 = Math.PI;
    double x2 = Math.PI * 2;

    /*
     * Baseline measurement: how much single Math.log costs.
     */

    @Benchmark
    public double baseline() {
        return Math.log(x1);
    }

    /*
     * While the Math.log(x2) computation is intact, Math.log(x1)
     * is redundant and optimized out.
     */

    @Benchmark
    public double measureWrong() {
        Math.log(x1);
        return Math.log(x2);
    }

    /*
     * This demonstrates Option A:
     *
     * Merge multiple results into one and return it.
     * This is OK when is computation is relatively heavyweight, and merging
     * the results does not offset the results much.
     */

    @Benchmark
    public double measureRight_1() {
        return Math.log(x1) + Math.log(x2);
    }

    /*
     * This demonstrates Option B:
     *
     * Use explicit Blackhole objects, and sink the values there.
     * (Background: Blackhole is just another @State object, bundled with JMH).
     */

    @Benchmark
    public void measureRight_2(Blackhole bh) {
        bh.consume(Math.log(x1));
        bh.consume(Math.log(x2));
    }

    /*
     * ============================== HOW TO RUN THIS TEST: ====================================
     *
     * You will see measureWrong() running on-par with baseline().
     * Both measureRight() are measuring twice the baseline, so the logs are intact.
     *
     * You can run this test:
     *
     * a) Via the command line:
     *    $ mvn clean install
     *    $ java -jar target/benchmarks.jar JMHSample_09 -wi 5 -i 5 -f 1
     *    (we requested 5 warmup/measurement iterations, single fork)
     *
     * b) Via the Java API:
     *    (see the JMH homepage for possible caveats when running from IDE:
     *      http://openjdk.java.net/projects/code-tools/jmh/)
     */

    public static void main(String[] args) throws RunnerException {
        Options opt = new OptionsBuilder()
                .include(JMHSample_09_Blackholes.class.getSimpleName())
                .warmupIterations(5)
                .measurementIterations(5)
                .forks(1)
                .build();

        new Runner(opt).run();
    }


}