1 /* 2 * Copyright (c) 2014 Oracle and/or its affiliates. All rights reserved. 3 * DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER. 4 * 5 * This code is free software; you can redistribute it and/or modify it 6 * under the terms of the GNU General Public License version 2 only, as 7 * published by the Free Software Foundation. Oracle designates this 8 * particular file as subject to the "Classpath" exception as provided 9 * by Oracle in the LICENSE file that accompanied this code. 10 * 11 * This code is distributed in the hope that it will be useful, but WITHOUT 12 * ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or 13 * FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License 14 * version 2 for more details (a copy is included in the LICENSE file that 15 * accompanied this code). 16 * 17 * You should have received a copy of the GNU General Public License version 18 * 2 along with this work; if not, write to the Free Software Foundation, 19 * Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA. 20 * 21 * Please contact Oracle, 500 Oracle Parkway, Redwood Shores, CA 94065 USA 22 * or visit www.oracle.com if you need additional information or have any 23 * questions. 24 */ 25 package org.openjdk.bench.java.util.stream.ops.ref; 26 27 import org.openjdk.jmh.annotations.Benchmark; 28 import org.openjdk.jmh.annotations.BenchmarkMode; 29 import org.openjdk.jmh.annotations.Mode; 30 import org.openjdk.jmh.annotations.OutputTimeUnit; 31 import org.openjdk.jmh.annotations.Param; 32 import org.openjdk.jmh.annotations.Scope; 33 import org.openjdk.jmh.annotations.Setup; 34 import org.openjdk.jmh.annotations.State; 35 36 import java.util.concurrent.TimeUnit; 37 import java.util.function.BinaryOperator; 38 import java.util.stream.LongStream; 39 40 /** 41 * Benchmark for reduce()-base operation. 42 */ 43 @BenchmarkMode(Mode.Throughput) 44 @OutputTimeUnit(TimeUnit.SECONDS) 45 @State(Scope.Thread) 46 public class ReduceBase { 47 48 /** 49 * Implementation notes: 50 * - parallel version requires thread-safe sink, we use the same for sequential version for better comparison 51 * - operations are explicit inner classes to untangle unwanted lambda effects 52 * - the result of applying consecutive operations is the same, in order to have the same number of elements in sink 53 */ 54 55 @Param("100000") 56 private int size; 57 58 private BinaryOperator<Long> op1, op2, op3; 59 60 @Setup 61 public void setup() { 62 op1 = new BinaryOperator<Long>() { 63 @Override 64 public Long apply(Long l, Long r) { 65 return (l > r) ? l : r; 66 } 67 }; 68 op2 = new BinaryOperator<Long>() { 69 @Override 70 public Long apply(Long l, Long r) { 71 return (l > r) ? l : r; 72 } 73 }; 74 op3 = new BinaryOperator<Long>() { 75 @Override 76 public Long apply(Long l, Long r) { 77 return (l > r) ? l : r; 78 } 79 }; 80 } 81 82 @Benchmark 83 public long seq_invoke() { 84 return LongStream.range(0, size).boxed().reduce(0L, op1); 85 } 86 87 @Benchmark 88 public long seq_chain_111() { 89 long l = 0; 90 l += LongStream.range(0, size).boxed().reduce(0L, op1); 91 l += LongStream.range(0, size).boxed().reduce(0L, op1); 92 l += LongStream.range(0, size).boxed().reduce(0L, op1); 93 return l; 94 } 95 96 @Benchmark 97 public long seq_chain_123() { 98 long l = 0; 99 l += LongStream.range(0, size).boxed().reduce(0L, op1); 100 l += LongStream.range(0, size).boxed().reduce(0L, op2); 101 l += LongStream.range(0, size).boxed().reduce(0L, op3); 102 return l; 103 } 104 105 @Benchmark 106 public long par_invoke() { 107 return LongStream.range(0, size).parallel().boxed().reduce(0L, op1); 108 } 109 110 @Benchmark 111 public long par_chain_111() { 112 long l = 0; 113 l += LongStream.range(0, size).parallel().boxed().reduce(0L, op1); 114 l += LongStream.range(0, size).parallel().boxed().reduce(0L, op1); 115 l += LongStream.range(0, size).parallel().boxed().reduce(0L, op1); 116 return l; 117 } 118 119 @Benchmark 120 public long par_chain_123() { 121 long l = 0; 122 l += LongStream.range(0, size).parallel().boxed().reduce(0L, op1); 123 l += LongStream.range(0, size).parallel().boxed().reduce(0L, op2); 124 l += LongStream.range(0, size).parallel().boxed().reduce(0L, op3); 125 return l; 126 } 127 128 }