org.openjdk.jmh.samples.JMHSample_01_HelloWorld Maven / Gradle / Ivy

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package org.openjdk.jmh.samples;

import org.openjdk.jmh.annotations.Benchmark;
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;

public class JMHSample_01_HelloWorld {

    /*
     * This is our first benchmark method.
     *
     * JMH works as follows: users annotate the methods with @Benchmark, and
     * then JMH produces the generated code to run this particular benchmark as
     * reliably as possible. In general one might think about @Benchmark methods
     * as the benchmark "payload", the things we want to measure. The
     * surrounding infrastructure is provided by the harness itself.
     *
     * Read the Javadoc for @Benchmark annotation for complete semantics and
     * restrictions. At this point we only note that the methods names are
     * non-essential, and it only matters that the methods are marked with
     * @Benchmark. You can have multiple benchmark methods within the same
     * class.
     *
     * Note: if the benchmark method never finishes, then JMH run never finishes
     * as well. If you throw an exception from the method body the JMH run ends
     * abruptly for this benchmark and JMH will run the next benchmark down the
     * list.
     *
     * Although this benchmark measures "nothing" it is a good showcase for the
     * overheads the infrastructure bear on the code you measure in the method.
     * There are no magical infrastructures which incur no overhead, and it is
     * important to know what are the infra overheads you are dealing with. You
     * might find this thought unfolded in future examples by having the
     * "baseline" measurements to compare against.
     */

    @Benchmark
    public void wellHelloThere() {
        // this method was intentionally left blank.
    }

    /*
     * ============================== HOW TO RUN THIS TEST: ====================================
     *
     * You are expected to see the run with large number of iterations, and
     * very large throughput numbers. You can see that as the estimate of the
     * harness overheads per method call. In most of our measurements, it is
     * down to several cycles per call.
     *
     * a) Via command-line:
     *    $ mvn clean install
     *    $ java -jar target/benchmarks.jar JMHSample_01
     *
     * JMH generates self-contained JARs, bundling JMH together with it.
     * The runtime options for the JMH are available with "-h":
     *    $ java -jar target/benchmarks.jar -h
     *
     * 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_01_HelloWorld.class.getSimpleName())
                .forks(1)
                .build();

        new Runner(opt).run();
    }

}