Java Microbenchmark Harness (JMH)

http://albertnetymk.github.io/2017/12/27/jmh/（此文档是安装过程）
https://github.com/openjdk/jmh （最新的jmh，上面的jmh似乎跑不起来）
官方推荐的测试java的函数性能的工具
jmh的使用guide：https://blog.csdn.net/lxbjkben/article/details/79410740

dependency

<dependencies><dependency><groupId>org.openjdk.jmh</groupId><artifactId>jmh-core</artifactId><version>${jmh.version}</version></dependency><dependency><groupId>org.openjdk.jmh</groupId><artifactId>jmh-generator-annprocess</artifactId><version>${jmh.version}</version><scope>provided</scope></dependency></dependencies>

例子：


public class MyBenchmark {@State(Scope.Thread)public static class MyState {Vector vector = new Vector();ArrayList<Integer> arrayList = new ArrayList<>();Integer[] arr = new Integer[10000];@Setuppublic void init() {for (int i = 0; i < 10000; i++) {vector.add(i);arrayList.add(i);arr[i] = i;}}}@Benchmarkpublic void testArrayList(MyState state){int i = state.arrayList.get(0);i = state.arrayList.get(1000);i = state.arrayList.get(8888);}@Benchmarkpublic void testArr(MyState state){int i = state.arr[0];i = state.arr[1000];i = state.arr[8888];}public static void main(String[] args) throws RunnerException {MyBenchmark mytest = new MyBenchmark();Options opt = new OptionsBuilder().include(MyBenchmark.class.getSimpleName()).warmupIterations(1).measurementIterations(1).forks(1).build();new Runner(opt).run();}
}

执行参数(生成机器执行汇编)

-Xcomp -XX:+UnlockDiagnosticVMOptions -XX:CompileCommand="print,*.mulTest" --add-modules jdk.incubator.vector

output：

# JMH version: 1.33
# VM version: JDK xxxx, OpenJDK 64-Bit Server VM, 17-xxxx+3-167
# VM invoker: /home/xxx/jdk/jdk-17/bin/java
# VM options: --add-modules=jdk.incubator.vector -javaagent:/home/xxxx/idea/idea-IC-/lib/idea_rt.jar=39765:/home/xxxx/idea/idea-IC-bin -Dfile.encoding=UTF-8
# Blackhole mode: full + dont-inline hint (default, use -Djmh.blackhole.autoDetect=true to auto-detect)
# Warmup: 1 iterations, 10 s each
# Measurement: 1 iterations, 10 s each
# Timeout: 10 min per iteration
# Threads: 1 thread, will synchronize iterations
# Benchmark mode: Throughput, ops/time
# Benchmark: org.sample.MyBenchmark.testArr# Run progress: 0.00% complete, ETA 00:00:40
# Fork: 1 of 1
WARNING: Using incubator modules: jdk.incubator.vector
# Warmup Iteration   1: 587528394.545 ops/s
Iteration   1: 588012492.451 ops/sResult "org.sample.MyBenchmark.testArr":588012492.451 ops/s# JMH version: 1.33
# VM version: JDK 17-xxxx, OpenJDK 64-Bit Server VM, 17-xxxx+3-167
# VM invoker: /home/xxxx/jdk/jdk-17/bin/java
# VM options: --add-modules=jdk.incubator.vector -javaagent:/home/xxxxx/idea/idea-IC-lib/idea_rt.jar=39765:/home/ziyi/idea/idea-IC-/bin -Dfile.encoding=UTF-8
# Blackhole mode: full + dont-inline hint (default, use -Djmh.blackhole.autoDetect=true to auto-detect)
# Warmup: 1 iterations, 10 s each
# Measurement: 1 iterations, 10 s each
# Timeout: 10 min per iteration
# Threads: 1 thread, will synchronize iterations
# Benchmark mode: Throughput, ops/time
# Benchmark: org.sample.MyBenchmark.testArrayList# Run progress: 50.00% complete, ETA 00:00:20
# Fork: 1 of 1
WARNING: Using incubator modules: jdk.incubator.vector
# Warmup Iteration   1: 338121260.976 ops/s
Iteration   1: 339601119.490 ops/sResult "org.sample.MyBenchmark.testArrayList":339601119.490 ops/s# Run complete. Total time: 00:00:41REMEMBER: The numbers below are just data. To gain reusable insights, you need to follow up on
why the numbers are the way they are. Use profilers (see -prof, -lprof), design factorial
experiments, perform baseline and negative tests that provide experimental control, make sure
the benchmarking environment is safe on JVM/OS/HW level, ask for reviews from the domain experts.
Do not assume the numbers tell you what you want them to tell.Benchmark                   Mode  Cnt          Score   Error  Units
MyBenchmark.testArr        thrpt       588012492.451          ops/s
MyBenchmark.testArrayList  thrpt       339601119.490          ops/s

我们发现直接使用数组比使用ArrayList的ops更高，说明当数组长度已知时直接使用数组效率更高。

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