brandboat commented on code in PR #16231: URL: https://github.com/apache/kafka/pull/16231#discussion_r1633639458
########## jmh-benchmarks/src/main/java/org/apache/kafka/jmh/util/ConcurrentMapBenchmark.java: ########## @@ -0,0 +1,175 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one or more + * contributor license agreements. See the NOTICE file distributed with + * this work for additional information regarding copyright ownership. + * The ASF licenses this file to You under the Apache License, Version 2.0 + * (the "License"); you may not use this file except in compliance with + * the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.kafka.jmh.util; + +import org.apache.kafka.common.utils.CopyOnWriteMap; +import org.openjdk.jmh.annotations.Benchmark; +import org.openjdk.jmh.annotations.BenchmarkMode; +import org.openjdk.jmh.annotations.Fork; +import org.openjdk.jmh.annotations.Measurement; +import org.openjdk.jmh.annotations.Mode; +import org.openjdk.jmh.annotations.OperationsPerInvocation; +import org.openjdk.jmh.annotations.OutputTimeUnit; +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.Threads; +import org.openjdk.jmh.annotations.Warmup; +import org.openjdk.jmh.infra.Blackhole; + +import java.util.Map; +import java.util.concurrent.ConcurrentHashMap; +import java.util.concurrent.ThreadLocalRandom; +import java.util.concurrent.TimeUnit; +import java.util.stream.Collectors; +import java.util.stream.IntStream; + +@State(Scope.Benchmark) +@Fork(value = 1) +@Warmup(iterations = 5) +@Measurement(iterations = 15) +@BenchmarkMode(Mode.AverageTime) +@OutputTimeUnit(TimeUnit.NANOSECONDS) +@Threads(2) +public class ConcurrentMapBenchmark { + private static final int TIMES = 1000_000; + + @Param({"100"}) + private int mapSize; + + @Param({"0.1"}) + private double writePercentage; + + private Map<Integer, Integer> concurrentHashMap; + private Map<Integer, Integer> copyOnWriteMap; + private int writePerLoops; + + @Setup + public void setup() { + Map<Integer, Integer> mapTemplate = IntStream.range(0, mapSize).boxed() + .collect(Collectors.toMap(i -> i, i -> i)); + concurrentHashMap = new ConcurrentHashMap<>(mapTemplate); + copyOnWriteMap = new CopyOnWriteMap<>(mapTemplate); + writePerLoops = TIMES / (int) Math.round(writePercentage * TIMES); + } + + @Benchmark + @OperationsPerInvocation(TIMES) + public void testConcurrentHashMapGet(Blackhole blackhole) { + for (int i = 0; i < TIMES; i++) { + if (i % writePerLoops == 0) { + // add offset mapSize to ensure computeIfAbsent do add new entry + concurrentHashMap.computeIfAbsent(i + mapSize, key -> key); + } else { + blackhole.consume(concurrentHashMap.get(i % mapSize)); + } + } + } + + @Benchmark + @OperationsPerInvocation(TIMES) + public void testConcurrentHashMapGetRandom(Blackhole blackhole) { + for (int i = 0; i < TIMES; i++) { + if (i % writePerLoops == 0) { + // add offset mapSize to ensure computeIfAbsent do add new entry + concurrentHashMap.computeIfAbsent(i + mapSize, key -> key); + } else { + blackhole.consume(concurrentHashMap.get(ThreadLocalRandom.current().nextInt(0, mapSize + 1))); + } + } + } + + @Benchmark + @OperationsPerInvocation(TIMES) + public void testCopyOnWriteMapGet(Blackhole blackhole) { + for (int i = 0; i < TIMES; i++) { + if (i % writePerLoops == 0) { + // add offset mapSize to ensure computeIfAbsent do add new entry + copyOnWriteMap.computeIfAbsent(i + mapSize, key -> key); + } else { + blackhole.consume(copyOnWriteMap.get(i % mapSize)); + } + } + } + + @Benchmark + @OperationsPerInvocation(TIMES) + public void testCopyOnWriteMapGetRandom(Blackhole blackhole) { + for (int i = 0; i < TIMES; i++) { + if (i % writePerLoops == 0) { + // add offset mapSize to ensure computeIfAbsent do add new entry + copyOnWriteMap.computeIfAbsent(i + mapSize, key -> key); + } else { + blackhole.consume(copyOnWriteMap.get(ThreadLocalRandom.current().nextInt(0, mapSize + 1))); + } + } + } + + @Benchmark + @OperationsPerInvocation(TIMES) + public void testConcurrentHashMapValues(Blackhole blackhole) { + for (int i = 0; i < TIMES; i++) { + if (i % writePerLoops == 0) { + // add offset mapSize to ensure computeIfAbsent do add new entry + concurrentHashMap.computeIfAbsent(i + mapSize, key -> key); + } else { + blackhole.consume(concurrentHashMap.values()); Review Comment: Thanks, the benchmark result are as belows ``` Benchmark (mapSize) (writePercentage) Mode Cnt Score Error Units ConcurrentMapBenchmark.testConcurrentHashMapEntrySet 100 0.1 avgt 15 30675.669 ± 305.105 ns/op ConcurrentMapBenchmark.testConcurrentHashMapGet 100 0.1 avgt 15 2.494 ± 0.024 ns/op ConcurrentMapBenchmark.testConcurrentHashMapGetRandom 100 0.1 avgt 15 5.134 ± 0.083 ns/op ConcurrentMapBenchmark.testConcurrentHashMapValues 100 0.1 avgt 15 33012.029 ± 677.201 ns/op ConcurrentMapBenchmark.testCopyOnWriteMapEntrySet 100 0.1 avgt 15 34543.961 ± 398.451 ns/op ConcurrentMapBenchmark.testCopyOnWriteMapGet 100 0.1 avgt 15 2.845 ± 0.041 ns/op ConcurrentMapBenchmark.testCopyOnWriteMapGetRandom 100 0.1 avgt 15 4.218 ± 0.062 ns/op ConcurrentMapBenchmark.testCopyOnWriteMapValues 100 0.1 avgt 15 26139.956 ± 229.991 ns/op ``` -- This is an automated message from the Apache Git Service. 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