package com.carrotsearch.hppc.benchmarks; import org.openjdk.jmh.annotations.Benchmark; import org.openjdk.jmh.annotations.BenchmarkMode; import org.openjdk.jmh.annotations.Fork; import org.openjdk.jmh.annotations.Level; import org.openjdk.jmh.annotations.Measurement; import org.openjdk.jmh.annotations.Mode; import org.openjdk.jmh.annotations.Param; import org.openjdk.jmh.annotations.Scope; import org.openjdk.jmh.annotations.Setup; import org.openjdk.jmh.annotations.State; import org.openjdk.jmh.annotations.Warmup; 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 com.carrotsearch.hppc.XorShift128P; @Fork(1) @Warmup(iterations = 5) @Measurement(iterations = 5) @State(Scope.Benchmark) public class B003_HashSet_Contains { @Param("0.75") public double loadFactor; @Param public Library library; @Param({"200"}) public int mbOfKeys; public int [] keys; public IntSetOps ops; @Setup(Level.Trial) public void prepare() { int keyCount = mbOfKeys * (1024 * 1024) / 4; keys = new int [keyCount]; XorShift128P rnd = new XorShift128P(0xdeadbeefL); for (int i = 0; i < keys.length; i++) { keys[i] = rnd.nextInt(2 * keys.length); } ops = library.newIntSet(keys.length, loadFactor); int[] existing = new int [keyCount]; for (int i = 0; i < keys.length; i++) { existing[i] = rnd.nextInt(2 * keys.length); } ops.bulkAdd(existing); } @Benchmark() @BenchmarkMode(Mode.SingleShotTime) public Object bulk() { return ops.bulkContains(keys); } public static void main(String[] args) throws RunnerException { Options opt = new OptionsBuilder().include(B003_HashSet_Contains.class.getSimpleName()).build(); new Runner(opt).run(); } }