/* * 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.streams.processor; import org.apache.kafka.common.Cluster; import org.apache.kafka.common.PartitionInfo; import org.apache.kafka.common.TopicPartition; import org.apache.kafka.streams.errors.StreamsException; import org.apache.kafka.streams.processor.internals.StreamPartitionAssignor; import org.slf4j.Logger; import org.slf4j.LoggerFactory; import java.util.Collections; import java.util.HashMap; import java.util.HashSet; import java.util.List; import java.util.Map; import java.util.Set; /** * Default implementation of the {@link PartitionGrouper} interface that groups partitions by the partition id. * * Join operations requires that topics of the joining entities are copartitoned, i.e., being partitioned by the same key and having the same * number of partitions. Copartitioning is ensured by having the same number of partitions on * joined topics, and by using the serialization and Producer's default partitioner. */ public class DefaultPartitionGrouper implements PartitionGrouper { private static final Logger log = LoggerFactory.getLogger(DefaultPartitionGrouper.class); /** * Generate tasks with the assigned topic partitions. * * @param topicGroups group of topics that need to be joined together * @param metadata metadata of the consuming cluster * @return The map from generated task ids to the assigned partitions */ public Map<TaskId, Set<TopicPartition>> partitionGroups(Map<Integer, Set<String>> topicGroups, Cluster metadata) { Map<TaskId, Set<TopicPartition>> groups = new HashMap<>(); for (Map.Entry<Integer, Set<String>> entry : topicGroups.entrySet()) { Integer topicGroupId = entry.getKey(); Set<String> topicGroup = entry.getValue(); int maxNumPartitions = maxNumPartitions(metadata, topicGroup); for (int partitionId = 0; partitionId < maxNumPartitions; partitionId++) { Set<TopicPartition> group = new HashSet<>(topicGroup.size()); for (String topic : topicGroup) { List<PartitionInfo> partitions = metadata.partitionsForTopic(topic); if (partitionId < partitions.size()) { group.add(new TopicPartition(topic, partitionId)); } } groups.put(new TaskId(topicGroupId, partitionId), Collections.unmodifiableSet(group)); } } return Collections.unmodifiableMap(groups); } /** * @throws StreamsException if no metadata can be received for a topic */ protected int maxNumPartitions(Cluster metadata, Set<String> topics) { int maxNumPartitions = 0; for (String topic : topics) { List<PartitionInfo> partitions = metadata.partitionsForTopic(topic); if (partitions.isEmpty()) { log.info("Skipping assigning topic {} to tasks since its metadata is not available yet", topic); return StreamPartitionAssignor.NOT_AVAILABLE; } else { int numPartitions = partitions.size(); if (numPartitions > maxNumPartitions) maxNumPartitions = numPartitions; } } return maxNumPartitions; } }