kafka RoundRobinPartitioner 源码

  • 2022-10-20
  • 浏览 (510)

kafka RoundRobinPartitioner 代码

文件路径:/clients/src/main/java/org/apache/kafka/clients/producer/RoundRobinPartitioner.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.clients.producer;

import java.util.List;
import java.util.Map;
import java.util.concurrent.ConcurrentHashMap;
import java.util.concurrent.ConcurrentMap;
import java.util.concurrent.atomic.AtomicInteger;

import org.apache.kafka.common.Cluster;
import org.apache.kafka.common.PartitionInfo;
import org.apache.kafka.common.utils.Utils;

/**
 * The "Round-Robin" partitioner
 * 
 * This partitioning strategy can be used when user wants 
 * to distribute the writes to all partitions equally. This
 * is the behaviour regardless of record key hash. 
 *
 */
public class RoundRobinPartitioner implements Partitioner {
    private final ConcurrentMap<String, AtomicInteger> topicCounterMap = new ConcurrentHashMap<>();

    public void configure(Map<String, ?> configs) {}

    /**
     * Compute the partition for the given record.
     *
     * @param topic The topic name
     * @param key The key to partition on (or null if no key)
     * @param keyBytes serialized key to partition on (or null if no key)
     * @param value The value to partition on or null
     * @param valueBytes serialized value to partition on or null
     * @param cluster The current cluster metadata
     */
    @Override
    public int partition(String topic, Object key, byte[] keyBytes, Object value, byte[] valueBytes, Cluster cluster) {
        List<PartitionInfo> partitions = cluster.partitionsForTopic(topic);
        int numPartitions = partitions.size();
        int nextValue = nextValue(topic);
        List<PartitionInfo> availablePartitions = cluster.availablePartitionsForTopic(topic);
        if (!availablePartitions.isEmpty()) {
            int part = Utils.toPositive(nextValue) % availablePartitions.size();
            return availablePartitions.get(part).partition();
        } else {
            // no partitions are available, give a non-available partition
            return Utils.toPositive(nextValue) % numPartitions;
        }
    }

    private int nextValue(String topic) {
        AtomicInteger counter = topicCounterMap.computeIfAbsent(topic, k -> new AtomicInteger(0));
        return counter.getAndIncrement();
    }

    public void close() {}

}

相关信息

kafka 源码目录

相关文章

kafka BufferExhaustedException 源码

kafka Callback 源码

kafka KafkaProducer 源码

kafka MockProducer 源码

kafka Partitioner 源码

kafka Producer 源码

kafka ProducerConfig 源码

kafka ProducerInterceptor 源码

kafka ProducerRecord 源码

kafka RecordMetadata 源码

0  赞