org.openjdk.jmh.samples.JMHSample_03_States Maven / Gradle / Ivy
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package org.openjdk.jmh.samples;
import org.openjdk.jmh.annotations.Benchmark;
import org.openjdk.jmh.annotations.Scope;
import org.openjdk.jmh.annotations.State;
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_03_States {
/*
* Most of the time, you need to maintain some of the state while
* the benchmark is running. Since JMH is heavily used to build
* concurrent benchmarks, we opted to the explicit notion
* of state-bearing objects.
*
* Below are two state objects. Their class names are not essential,
* it matters they are marked with @State. These objects will be
* instantiated on demand, and reused during the entire benchmark trial.
*
* The important property is that state is always instantiated by
* one of those benchmark threads which will then have the access
* to that state. That means you can initialize the fields as if you do
* that in worker threads (ThreadLocals are yours, etc).
*/
@State(Scope.Benchmark)
public static class BenchmarkState {
double x = Math.PI;
}
@State(Scope.Thread)
public static class ThreadState {
double x = Math.PI;
}
/*
* Benchmark methods can reference the states, and JMH will inject
* the appropriate states while calling these methods. You can have
* no states at all, or have only one state, or have multiple states
* referenced. This makes building multi-threaded benchmark a breeze.
*
* For this exercise, we have two methods.
*/
@Benchmark
public void measureUnshared(ThreadState state) {
// All benchmark threads will call in this method.
//
// However, since ThreadState is the Scope.Thread, each thread
// will have it's own copy of the state, and this benchmark
// will measure unshared case.
state.x++;
}
@Benchmark
public void measureShared(BenchmarkState state) {
// All benchmark threads will call in this method.
//
// Since BenchmarkState is the Scope.Benchmark, all threads
// will share the state instance, and we will end up measuring
// shared case.
state.x++;
}
/*
* ============================== HOW TO RUN THIS TEST: ====================================
*
* You are expected to see the drastic difference in shared and unshared cases,
* because you either contend for single memory location, or not. This effect
* is more articulated on large machines.
*
* You can run this test:
*
* a) Via the command line:
* $ mvn clean install
* $ java -jar target/benchmarks.jar ".*JMHSample_03.*" -wi 5 -i 5 -t 4 -f 1
* (we requested 5 measurement/warmup iterations, with 4 threads, 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_03_States.class.getSimpleName() + ".*")
.warmupIterations(5)
.measurementIterations(5)
.threads(4)
.forks(1)
.build();
new Runner(opt).run();
}
}
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