org.apache.kafka.clients.consumer.RangeAssignor Maven / Gradle / Ivy

Go to download
Show more of this group Show more artifacts with this name
Show all versions of kafka-client Show documentation
The newest version!
/*
 * 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.consumer;

import org.apache.kafka.clients.consumer.internals.AbstractPartitionAssignor;
import org.apache.kafka.common.TopicPartition;

import java.util.ArrayList;
import java.util.Collections;
import java.util.HashMap;
import java.util.List;
import java.util.Map;

/**
 * The range assignor works on a per-topic basis. For each topic, we lay out the available partitions in numeric order
 * and the consumers in lexicographic order. We then divide the number of partitions by the total number of
 * consumers to determine the number of partitions to assign to each consumer. If it does not evenly
 * divide, then the first few consumers will have one extra partition.
 *
 * 
For example, suppose there are two consumers C0 and C1, two topics t0 and
 * t1, and each topic has 3 partitions, resulting in partitions t0p0, t0p1,
 * t0p2, t1p0, t1p1, and t1p2.
 *
 * 
The assignment will be:
 * 

 * C0: [t0p0, t0p1, t1p0, t1p1]
 * C1: [t0p2, t1p2]
 * 
 *
 * Since the introduction of static membership, we could leverage group.instance.id to make the assignment behavior more sticky.
 * For the above example, after one rolling bounce, group coordinator will attempt to assign new member.id towards consumers,
 * for example C0 -> C3 C1 -> C2.
 *
 * The assignment could be completely shuffled to:
 * 

 * C3 (was C0): [t0p2, t1p2] (before was [t0p0, t0p1, t1p0, t1p1])
 * 
C2 (was C1): [t0p0, t0p1, t1p0, t1p1] (before was [t0p2, t1p2])
 * 
 *
 * The assignment change was caused by the change of member.id relative order, and
 * can be avoided by setting the group.instance.id.
 * Consumers will have individual instance ids I1, I2. As long as
 * 1. Number of members remain the same across generation
 * 2. Static members' identities persist across generation
 * 3. Subscription pattern doesn't change for any member
 *
 * The assignment will always be:
 * 

 * I0: [t0p0, t0p1, t1p0, t1p1]
 * 
I1: [t0p2, t1p2]
 * 
 */
public class RangeAssignor extends AbstractPartitionAssignor {
    public static final String RANGE_ASSIGNOR_NAME = "range";

    @Override
    public String name() {
        return RANGE_ASSIGNOR_NAME;
    }

    private Map> consumersPerTopic(Map consumerMetadata) {
        Map> topicToConsumers = new HashMap<>();
        for (Map.Entry subscriptionEntry : consumerMetadata.entrySet()) {
            String consumerId = subscriptionEntry.getKey();
            MemberInfo memberInfo = new MemberInfo(consumerId, subscriptionEntry.getValue().groupInstanceId());
            for (String topic : subscriptionEntry.getValue().topics()) {
                put(topicToConsumers, topic, memberInfo);
            }
        }
        return topicToConsumers;
    }

    @Override
    public Map> assign(Map partitionsPerTopic,
                                                    Map subscriptions) {
        Map> consumersPerTopic = consumersPerTopic(subscriptions);

        Map> assignment = new HashMap<>();
        for (String memberId : subscriptions.keySet())
            assignment.put(memberId, new ArrayList<>());

        for (Map.Entry> topicEntry : consumersPerTopic.entrySet()) {
            String topic = topicEntry.getKey();
            List consumersForTopic = topicEntry.getValue();

            Integer numPartitionsForTopic = partitionsPerTopic.get(topic);
            if (numPartitionsForTopic == null)
                continue;

            Collections.sort(consumersForTopic);

            int numPartitionsPerConsumer = numPartitionsForTopic / consumersForTopic.size();
            int consumersWithExtraPartition = numPartitionsForTopic % consumersForTopic.size();

            List partitions = AbstractPartitionAssignor.partitions(topic, numPartitionsForTopic);
            for (int i = 0, n = consumersForTopic.size(); i < n; i++) {
                int start = numPartitionsPerConsumer * i + Math.min(i, consumersWithExtraPartition);
                int length = numPartitionsPerConsumer + (i + 1 > consumersWithExtraPartition ? 0 : 1);
                assignment.get(consumersForTopic.get(i).memberId).addAll(partitions.subList(start, start + length));
            }
        }
        return assignment;
    }
}