org.openjdk.jmh.samples.JMHSample_31_InfraParams Maven / Gradle / Ivy
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* published by the Free Software Foundation. Oracle designates this
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* version 2 for more details (a copy is included in the LICENSE file that
* accompanied this code).
*
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package org.openjdk.jmh.samples;
import org.openjdk.jmh.annotations.Benchmark;
import org.openjdk.jmh.annotations.BenchmarkMode;
import org.openjdk.jmh.annotations.Mode;
import org.openjdk.jmh.annotations.OutputTimeUnit;
import org.openjdk.jmh.annotations.Scope;
import org.openjdk.jmh.annotations.Setup;
import org.openjdk.jmh.annotations.State;
import org.openjdk.jmh.infra.BenchmarkParams;
import org.openjdk.jmh.infra.ThreadParams;
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.ArrayList;
import java.util.List;
import java.util.concurrent.ConcurrentHashMap;
import java.util.concurrent.TimeUnit;
@BenchmarkMode(Mode.Throughput)
@OutputTimeUnit(TimeUnit.SECONDS)
@State(Scope.Benchmark)
public class JMHSample_31_InfraParams {
/*
* There is a way to query JMH about the current running mode. This is
* possible with three infrastructure objects we can request to be injected:
* - BenchmarkParams: covers the benchmark-global configuration
* - IterationParams: covers the current iteration configuration
* - ThreadParams: covers the specifics about threading
*
* Suppose we want to check how the ConcurrentHashMap scales under different
* parallelism levels. We can put concurrencyLevel in @Param, but it sometimes
* inconvenient if, say, we want it to follow the @Threads count. Here is
* how we can query JMH about how many threads was requested for the current run,
* and put that into concurrencyLevel argument for CHM constructor.
*/
static final int THREAD_SLICE = 1000;
private ConcurrentHashMap mapSingle;
private ConcurrentHashMap mapFollowThreads;
@Setup
public void setup(BenchmarkParams params) {
int capacity = 16 * THREAD_SLICE * params.getThreads();
mapSingle = new ConcurrentHashMap(capacity, 0.75f, 1);
mapFollowThreads = new ConcurrentHashMap(capacity, 0.75f, params.getThreads());
}
/*
* Here is another neat trick. Generate the distinct set of keys for all threads:
*/
@State(Scope.Thread)
public static class Ids {
private List ids;
@Setup
public void setup(ThreadParams threads) {
ids = new ArrayList();
for (int c = 0; c < THREAD_SLICE; c++) {
ids.add("ID" + (THREAD_SLICE * threads.getThreadIndex() + c));
}
}
}
@Benchmark
public void measureDefault(Ids ids) {
for (String s : ids.ids) {
mapSingle.remove(s);
mapSingle.put(s, s);
}
}
@Benchmark
public void measureFollowThreads(Ids ids) {
for (String s : ids.ids) {
mapFollowThreads.remove(s);
mapFollowThreads.put(s, s);
}
}
/*
* ============================== HOW TO RUN THIS TEST: ====================================
*
* You can run this test:
*
* a) Via the command line:
* $ mvn clean install
* $ java -jar target/benchmarks.jar ".*JMHSample_31.*" -wi 5 -i 5 -t 4 -f 5
* (we requested 5 warmup iterations, 5 iterations, 2 threads, and 5 forks)
*
* 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_31_InfraParams.class.getSimpleName() + ".*")
.warmupIterations(5)
.measurementIterations(5)
.threads(4)
.forks(5)
.build();
new Runner(opt).run();
}
}
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