Update ThreadLocalRandom benchmark to show issues with contention (#8292)
Previous benchmark was measuring initialization of thread pools and their shutdown, not really measuring performance of Random.nextInt() shared Random instance vs ThreadLocalRandom.current() Example when run with 8 threads Benchmark Mode Cnt Score Error Units ThreadLocalRandomBenchMarker.randomValuesUsingRandom thrpt 20 9.597 ± 0.475 ops/us ThreadLocalRandomBenchMarker.randomValuesUsingThreadLocalRandom thrpt 20 2195.178 ± 109.579 ops/us
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package com.baeldung.threadlocalrandom;
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import org.openjdk.jmh.runner.Runner;
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import org.openjdk.jmh.runner.options.Options;
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import org.openjdk.jmh.runner.options.ChainedOptionsBuilder;
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import org.openjdk.jmh.runner.options.OptionsBuilder;
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import com.google.common.collect.ImmutableList;
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public class ThreadLocalRandomBenchMarkRunner {
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public static void main(String[] args) throws Exception {
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Options options = new OptionsBuilder().include(ThreadLocalRandomBenchMarker.class.getSimpleName())
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.threads(1)
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ChainedOptionsBuilder options = new OptionsBuilder().include(ThreadLocalRandomBenchMarker.class.getSimpleName())
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.forks(1)
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.shouldFailOnError(true)
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.shouldDoGC(true)
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.jvmArgs("-server")
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.build();
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new Runner(options).run();
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.jvmArgs("-server");
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for (Integer i : ImmutableList.of(1, 2, 8, 32)) {
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new Runner(
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options
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.threads(i)
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.build())
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.run();
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}
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}
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}
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@ -1,64 +1,34 @@
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package com.baeldung.threadlocalrandom;
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import java.util.ArrayList;
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import java.util.List;
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import java.util.Random;
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import java.util.concurrent.Callable;
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import java.util.concurrent.ExecutorService;
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import java.util.concurrent.Executors;
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import java.util.concurrent.ThreadLocalRandom;
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import java.util.concurrent.TimeUnit;
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import org.openjdk.jmh.annotations.Benchmark;
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import org.openjdk.jmh.annotations.BenchmarkMode;
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import org.openjdk.jmh.annotations.Level;
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import org.openjdk.jmh.annotations.Mode;
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import org.openjdk.jmh.annotations.OutputTimeUnit;
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import org.openjdk.jmh.annotations.Scope;
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import org.openjdk.jmh.annotations.Setup;
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import org.openjdk.jmh.annotations.State;
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import org.openjdk.jmh.annotations.Warmup;
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@BenchmarkMode(Mode.AverageTime)
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@BenchmarkMode(Mode.Throughput)
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@Warmup(iterations = 1)
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@OutputTimeUnit(TimeUnit.MICROSECONDS)
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@State(Scope.Benchmark)
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public class ThreadLocalRandomBenchMarker {
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private final Random random = new Random();
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List<Callable<Integer>> randomCallables = new ArrayList<>();
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List<Callable<Integer>> threadLocalRandomCallables = new ArrayList<>();
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@Setup(Level.Iteration)
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public void init() {
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Random random = new Random();
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randomCallables = new ArrayList<>();
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threadLocalRandomCallables = new ArrayList<>();
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for (int i = 0; i < 1000; i++) {
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randomCallables.add(() -> {
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return random.nextInt();
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});
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}
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for (int i = 0; i < 1000; i++) {
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threadLocalRandomCallables.add(() -> {
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return ThreadLocalRandom.current()
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.nextInt();
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});
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}
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@Benchmark
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public int randomValuesUsingRandom() {
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return random.nextInt();
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}
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@Benchmark
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public void randomValuesUsingRandom() throws InterruptedException {
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ExecutorService executor = Executors.newWorkStealingPool();
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executor.invokeAll(randomCallables);
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executor.shutdown();
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}
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@Benchmark
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public void randomValuesUsingThreadLocalRandom() throws InterruptedException {
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ExecutorService executor = Executors.newWorkStealingPool();
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executor.invokeAll(threadLocalRandomCallables);
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executor.shutdown();
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public int randomValuesUsingThreadLocalRandom() {
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return ThreadLocalRandom
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.current()
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.nextInt();
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}
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}
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