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.TopicIdPartition;
  import org.apache.kafka.common.Uuid;
  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 Uuid TOPIC_ID = Uuid.randomUuid();
      private static final String TOPIC_NAME = "tp";
      private static final Map<TopicIdPartition, ProduceResponse.PartitionResponse> PARTITION_RESPONSE_MAP = IntStream.range(0, NUMBER_OF_PARTITIONS)
          .mapToObj(partitionIndex -> new AbstractMap.SimpleEntry<>(
              new TopicIdPartition(TOPIC_ID, partitionIndex, TOPIC_NAME),
              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();
      }
  }
  