content: /*
   * 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.Uuid;
  import org.apache.kafka.common.compress.Compression;
  import org.apache.kafka.common.message.ProduceRequestData;
  import org.apache.kafka.common.protocol.Errors;
  import org.apache.kafka.common.record.MemoryRecords;
  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()
              .setTopicId(Uuid.fromString("4NeOmt3TH3vW7AKKORPaCW"))
              .setPartitionData(IntStream.range(0, NUMBER_OF_PARTITIONS).mapToObj(partitionIndex -> new ProduceRequestData.PartitionProduceData()
                  .setIndex(partitionIndex)
                  .setRecords(MemoryRecords.withRecords(Compression.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.builder(PRODUCE_REQUEST_DATA, false).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());
      }
  
  }
  