/* * Copyright (c) 2014, Oracle and/or its affiliates. All rights reserved. * DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER. * * This code is free software; you can redistribute it and/or modify it * under the terms of the GNU General Public License version 2 only, as * published by the Free Software Foundation. * * This code is distributed in the hope that it will be useful, but WITHOUT * ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or * FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License * version 2 for more details (a copy is included in the LICENSE file that * accompanied this code). * * You should have received a copy of the GNU General Public License version * 2 along with this work; if not, write to the Free Software Foundation, * Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA. * * Please contact Oracle, 500 Oracle Parkway, Redwood Shores, CA 94065 USA * or visit www.oracle.com if you need additional information or have any * questions. */ package org.openjdk.bench.java.util.stream.tasks.IntegerDuplicate; 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 java.util.Arrays; import java.util.Collections; import java.util.concurrent.RecursiveAction; import java.util.concurrent.TimeUnit; import java.util.concurrent.atomic.LongAdder; import java.util.function.Function; import java.util.stream.Stream; /** * This benchmark assesses flatMap() performance. */ @BenchmarkMode(Mode.Throughput) @OutputTimeUnit(TimeUnit.SECONDS) @State(Scope.Thread) public class Bulk { /** * Implementation notes: * - parallel versions need to use special sink to get the values */ private IntegerDuplicateProblem problem; private LongAdder adder; @Setup public void setup() { problem = new IntegerDuplicateProblem(); adder = new LongAdder(); } @Benchmark public long hm_seq() { for (Integer i : problem.get()) { adder.add(i); adder.add(i); } return adder.sum(); } @Benchmark public long hm_par() { new Task(problem.get(), adder, 0, problem.get().length).invoke(); return adder.sum(); } @Benchmark public long bulk_seq_inner() { return Arrays.stream(problem.get()).flatMap(new Function>() { @Override public Stream apply(Integer integer) { return Collections.nCopies(2, integer).stream(); } }).collect(LongAdder::new, LongAdder::add, (la1, la2) -> la1.add(la2.sum())).sum(); } @Benchmark public long bulk_par_inner() { return Arrays.stream(problem.get()).parallel().flatMap(new Function>() { @Override public Stream apply(Integer integer) { return Collections.nCopies(2, integer).stream(); } }).collect(LongAdder::new, LongAdder::add, (la1, la2) -> la1.add(la2.sum())).sum(); } public static class Task extends RecursiveAction { private static final int FORK_LIMIT = 500; private final Integer[] data; private final LongAdder sink; private final int start; private final int end; Task(Integer[] w, LongAdder sink, int start, int end) { this.data = w; this.sink = sink; this.start = start; this.end = end; } @Override protected void compute() { int size = end - start; if (size > FORK_LIMIT) { int mid = start + size / 2; Task t1 = new Task(data, sink, start, mid); Task t2 = new Task(data, sink, mid, end); t1.fork(); t2.invoke(); t1.join(); } else { for (int i = start; i < end; i++) { sink.add(i); sink.add(i); } } } } }