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.fetchsession;
  
  import org.apache.kafka.clients.FetchSessionHandler;
  import org.apache.kafka.common.TopicIdPartition;
  import org.apache.kafka.common.TopicPartition;
  import org.apache.kafka.common.Uuid;
  import org.apache.kafka.common.message.FetchResponseData;
  import org.apache.kafka.common.protocol.ApiKeys;
  import org.apache.kafka.common.protocol.Errors;
  import org.apache.kafka.common.requests.FetchRequest;
  import org.apache.kafka.common.requests.FetchResponse;
  import org.apache.kafka.common.utils.LogContext;
  
  import org.openjdk.jmh.annotations.Benchmark;
  import org.openjdk.jmh.annotations.BenchmarkMode;
  import org.openjdk.jmh.annotations.Fork;
  import org.openjdk.jmh.annotations.Level;
  import org.openjdk.jmh.annotations.Measurement;
  import org.openjdk.jmh.annotations.Mode;
  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.Warmup;
  
  import java.util.ArrayList;
  import java.util.HashMap;
  import java.util.LinkedHashMap;
  import java.util.List;
  import java.util.Map;
  import java.util.Optional;
  import java.util.concurrent.TimeUnit;
  
  @State(Scope.Benchmark)
  @Fork(value = 1)
  @Warmup(iterations = 5)
  @Measurement(iterations = 10)
  @BenchmarkMode(Mode.AverageTime)
  @OutputTimeUnit(TimeUnit.NANOSECONDS)
  public class FetchSessionBenchmark {
      private static final LogContext LOG_CONTEXT = new LogContext("[BenchFetchSessionHandler]=");
  
      @Param(value = {"10", "100", "1000"})
      private int partitionCount;
  
      @Param(value = {"0", "10", "100"})
      private int updatedPercentage;
  
      @Param(value = {"false", "true"})
      private boolean presize;
  
      private LinkedHashMap<TopicPartition, FetchRequest.PartitionData> fetches;
      private FetchSessionHandler handler;
      private Map<String, Uuid> topicIds;
  
      @Setup(Level.Trial)
      public void setUp() {
          fetches = new LinkedHashMap<>();
          handler = new FetchSessionHandler(LOG_CONTEXT, 1);
          topicIds = new HashMap<>();
          FetchSessionHandler.Builder builder = handler.newBuilder();
  
          Uuid id = Uuid.randomUuid();
          topicIds.put("foo", id);
  
          LinkedHashMap<TopicIdPartition, FetchResponseData.PartitionData> respMap = new LinkedHashMap<>();
          for (int i = 0; i < partitionCount; i++) {
              TopicPartition tp = new TopicPartition("foo", i);
              FetchRequest.PartitionData partitionData = new FetchRequest.PartitionData(id, 0, 0, 200, Optional.empty());
              fetches.put(tp, partitionData);
              builder.add(tp, partitionData);
              respMap.put(new TopicIdPartition(id, tp), new FetchResponseData.PartitionData()
                              .setPartitionIndex(tp.partition())
                              .setLastStableOffset(0)
                              .setLogStartOffset(0));
          }
          builder.build();
          // build and handle an initial response so that the next fetch will be incremental
          handler.handleResponse(FetchResponse.of(Errors.NONE, 0, 1, respMap, List.of()), ApiKeys.FETCH.latestVersion());
  
          int counter = 0;
          for (TopicPartition topicPartition: new ArrayList<>(fetches.keySet())) {
              if (updatedPercentage != 0 && counter % (100 / updatedPercentage) == 0) {
                  // reorder in fetch session, and update log start offset
                  fetches.remove(topicPartition);
                  fetches.put(topicPartition, new FetchRequest.PartitionData(id, 50, 40, 200,
                          Optional.empty()));
              }
              counter++;
          }
      }
  
      @Benchmark
      @OutputTimeUnit(TimeUnit.NANOSECONDS)
      public void incrementalFetchSessionBuild() {
          FetchSessionHandler.Builder builder;
          if (presize)
              builder = handler.newBuilder(fetches.size(), true);
          else
              builder = handler.newBuilder();
  
          for (Map.Entry<TopicPartition, FetchRequest.PartitionData> entry: fetches.entrySet()) {
              TopicPartition topicPartition = entry.getKey();
              builder.add(topicPartition, entry.getValue());
          }
  
          builder.build();
      }
  }
  