org.apache.kafka.clients.consumer.internals.AbstractPartitionAssignor Java Examples
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org.apache.kafka.clients.consumer.internals.AbstractPartitionAssignor.
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Example #1
Source File: BroadcastAssignor.java From kafka_book_demo with Apache License 2.0 | 5 votes |
@Override public Map<String, List<TopicPartition>> assign( Map<String, Integer> partitionsPerTopic, Map<String, Subscription> subscriptions) { Map<String, List<String>> consumersPerTopic = consumersPerTopic(subscriptions); Map<String, List<TopicPartition>> assignment = new HashMap<>(); //Java8 subscriptions.keySet().forEach(memberId -> assignment.put(memberId, new ArrayList<>())); //针对每一个主题,为每一个订阅的消费者分配所有的分区 consumersPerTopic.entrySet().forEach(topicEntry->{ String topic = topicEntry.getKey(); List<String> members = topicEntry.getValue(); Integer numPartitionsForTopic = partitionsPerTopic.get(topic); if (numPartitionsForTopic == null || members.isEmpty()) return; List<TopicPartition> partitions = AbstractPartitionAssignor .partitions(topic, numPartitionsForTopic); if (!partitions.isEmpty()) { members.forEach(memberId -> assignment.get(memberId).addAll(partitions)); } }); return assignment; }
Example #2
Source File: RandomAssignor.java From kafka_book_demo with Apache License 2.0 | 5 votes |
@Override public Map<String, List<TopicPartition>> assign(Map<String, Integer> partitionsPerTopic, Map<String, Subscription> subscriptions) { Map<String, List<String>> consumersPerTopic = consumersPerTopic(subscriptions); Map<String, List<TopicPartition>> assignment = new HashMap<>(); for (String memberId : subscriptions.keySet()) { assignment.put(memberId, new ArrayList<>()); } //针对每一个主题进行分区分配 for (Map.Entry<String, List<String>> topicEntry : consumersPerTopic.entrySet()) { String topic = topicEntry.getKey(); List<String> consumersForTopic = topicEntry.getValue(); int consumerSize = consumersForTopic.size(); Integer numPartitionsForTopic = partitionsPerTopic.get(topic); if (numPartitionsForTopic == null) { continue; } //当前主题下的所有分区 List<TopicPartition> partitions = AbstractPartitionAssignor.partitions(topic, numPartitionsForTopic); //将每个分区随机分配给一个消费者 for (TopicPartition partition : partitions) { int rand = new Random().nextInt(consumerSize); String randomConsumer = consumersForTopic.get(rand); assignment.get(randomConsumer).add(partition); } } return assignment; }
Example #3
Source File: BroadcastAssignor.java From BigData-In-Practice with Apache License 2.0 | 5 votes |
@Override public Map<String, List<TopicPartition>> assign( Map<String, Integer> partitionsPerTopic, Map<String, Subscription> subscriptions) { Map<String, List<String>> consumersPerTopic = consumersPerTopic(subscriptions); Map<String, List<TopicPartition>> assignment = new HashMap<>(); //Java8 subscriptions.keySet().forEach(memberId -> assignment.put(memberId, new ArrayList<>())); //针对每一个主题,为每一个订阅的消费者分配所有的分区 consumersPerTopic.entrySet().forEach(topicEntry -> { String topic = topicEntry.getKey(); List<String> members = topicEntry.getValue(); Integer numPartitionsForTopic = partitionsPerTopic.get(topic); if (numPartitionsForTopic == null || members.isEmpty()) return; List<TopicPartition> partitions = AbstractPartitionAssignor .partitions(topic, numPartitionsForTopic); if (!partitions.isEmpty()) { members.forEach(memberId -> assignment.get(memberId).addAll(partitions)); } }); return assignment; }
Example #4
Source File: RandomAssignor.java From BigData-In-Practice with Apache License 2.0 | 5 votes |
@Override public Map<String, List<TopicPartition>> assign(Map<String, Integer> partitionsPerTopic, Map<String, Subscription> subscriptions) { Map<String, List<String>> consumersPerTopic = consumersPerTopic(subscriptions); Map<String, List<TopicPartition>> assignment = new HashMap<>(); for (String memberId : subscriptions.keySet()) { assignment.put(memberId, new ArrayList<>()); } //针对每一个主题进行分区分配 for (Map.Entry<String, List<String>> topicEntry : consumersPerTopic.entrySet()) { String topic = topicEntry.getKey(); List<String> consumersForTopic = topicEntry.getValue(); int consumerSize = consumersForTopic.size(); Integer numPartitionsForTopic = partitionsPerTopic.get(topic); if (numPartitionsForTopic == null) { continue; } //当前主题下的所有分区 List<TopicPartition> partitions = AbstractPartitionAssignor.partitions(topic, numPartitionsForTopic); //将每个分区随机分配给一个消费者 for (TopicPartition partition : partitions) { int rand = new Random().nextInt(consumerSize); String randomConsumer = consumersForTopic.get(rand); assignment.get(randomConsumer).add(partition); } } return assignment; }