kafka ProducerRequestBenchmark 源码
kafka ProducerRequestBenchmark 代码
文件路径:/jmh-benchmarks/src/main/java/org/apache/kafka/jmh/producer/ProducerRequestBenchmark.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.
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package org.apache.kafka.jmh.producer;
import org.apache.kafka.common.message.ProduceRequestData;
import org.apache.kafka.common.protocol.Errors;
import org.apache.kafka.common.record.CompressionType;
import org.apache.kafka.common.record.MemoryRecords;
import org.apache.kafka.common.record.RecordBatch;
import org.apache.kafka.common.record.SimpleRecord;
import org.apache.kafka.common.requests.ProduceRequest;
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.nio.charset.StandardCharsets;
import java.util.Collections;
import java.util.List;
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 ProducerRequestBenchmark {
private static final int NUMBER_OF_PARTITIONS = 3;
private static final int NUMBER_OF_RECORDS = 3;
private static final List<ProduceRequestData.TopicProduceData> TOPIC_PRODUCE_DATA = Collections.singletonList(new ProduceRequestData.TopicProduceData()
.setName("tp")
.setPartitionData(IntStream.range(0, NUMBER_OF_PARTITIONS).mapToObj(partitionIndex -> new ProduceRequestData.PartitionProduceData()
.setIndex(partitionIndex)
.setRecords(MemoryRecords.withRecords(CompressionType.NONE, IntStream.range(0, NUMBER_OF_RECORDS)
.mapToObj(recordIndex -> new SimpleRecord(100, "hello0".getBytes(StandardCharsets.UTF_8)))
.collect(Collectors.toList())
.toArray(new SimpleRecord[0]))))
.collect(Collectors.toList()))
);
private static final ProduceRequestData PRODUCE_REQUEST_DATA = new ProduceRequestData()
.setTimeoutMs(100)
.setAcks((short) 1)
.setTopicData(new ProduceRequestData.TopicProduceDataCollection(TOPIC_PRODUCE_DATA.iterator()));
private static ProduceRequest request() {
return ProduceRequest.forMagic(RecordBatch.CURRENT_MAGIC_VALUE, PRODUCE_REQUEST_DATA).build();
}
private static final ProduceRequest REQUEST = request();
@Benchmark
@OutputTimeUnit(TimeUnit.NANOSECONDS)
public ProduceRequest constructorProduceRequest() {
return request();
}
@Benchmark
@OutputTimeUnit(TimeUnit.NANOSECONDS)
public ProduceResponse constructorErrorResponse() {
return REQUEST.getErrorResponse(0, Errors.INVALID_REQUEST.exception());
}
}
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