kafka ProducerResponseBenchmark 源码

kafka ProducerResponseBenchmark 代码

文件路径：/jmh-benchmarks/src/main/java/org/apache/kafka/jmh/producer/ProducerResponseBenchmark.java

/*
 * 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.producer;

import org.apache.kafka.common.TopicPartition;
import org.apache.kafka.common.protocol.Errors;
import org.apache.kafka.common.requests.AbstractResponse;
import org.apache.kafka.common.requests.ProduceResponse;
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.OutputTimeUnit;
import org.openjdk.jmh.annotations.Scope;
import org.openjdk.jmh.annotations.State;
import org.openjdk.jmh.annotations.Warmup;

import java.util.AbstractMap;
import java.util.Map;
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)
public class ProducerResponseBenchmark {
    private static final int NUMBER_OF_PARTITIONS = 3;
    private static final int NUMBER_OF_RECORDS = 3;
    private static final Map<TopicPartition, ProduceResponse.PartitionResponse> PARTITION_RESPONSE_MAP = IntStream.range(0, NUMBER_OF_PARTITIONS)
        .mapToObj(partitionIndex -> new AbstractMap.SimpleEntry<>(
            new TopicPartition("tp", partitionIndex),
            new ProduceResponse.PartitionResponse(
                Errors.NONE,
                0,
                0,
                0,
                IntStream.range(0, NUMBER_OF_RECORDS)
                    .mapToObj(ProduceResponse.RecordError::new)
                    .collect(Collectors.toList()))
        ))
        .collect(Collectors.toMap(AbstractMap.SimpleEntry::getKey, AbstractMap.SimpleEntry::getValue));

    /**
     * this method is still used by production so we benchmark it.
     * see https://issues.apache.org/jira/browse/KAFKA-10730
     */
    @SuppressWarnings("deprecation")
    private static ProduceResponse response() {
        return new ProduceResponse(PARTITION_RESPONSE_MAP);
    }

    private static final ProduceResponse RESPONSE = response();

    @Benchmark
    @OutputTimeUnit(TimeUnit.NANOSECONDS)
    public AbstractResponse constructorProduceResponse() {
        return response();
    }
}

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