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kafka消费者分组的时候，分区现象

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首先创建Consumer需要的配置信息，最基本的有五个信息：

  • Kafka集群的地址。
  • 发送的Message中Key的序列化方式。
  • 发送的Message中Value的序列化方式。
  • 指定Consumer Group。
  • 指定拉取Message范围的策略。

    Properties properties = new Properties();
properties.setProperty(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, "IP:Port");
properties.setProperty(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class.getName());
properties.setProperty(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class.getName());
properties.setProperty(ConsumerConfig.GROUP_ID_CONFIG, "consumer_group_1");
properties.setProperty(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "latest"); // earliest, none

然后传入上面实例化好的配置信息，实例化Consumer： 

KafkaConsumer<String, String> consumer = new KafkaConsumer<String, String>(properties);

然后通过Consumer的

subscribe(Collection<String> topics)

方法订阅Topic： 

consumer.subscribe(Arrays.asList("first_topic"));

最后获取Topic里的Message，将Message信息输出到日志中： 

while(true) {
	ConsumerRecords<String, String> records = consumer.poll(Duration.ofMillis(100));
	for(ConsumerRecord<String, String> record : records) {
		logger.info("Key: " + record.key() + ", Value: " + record.value());
		logger.info("Partition: " + record.partition() + ", Offset: " + record.offset());
	}
}

Consumer的

poll(Duration timeout)

方法可以设置获取数据的时间间隔，同时回忆一下在之前Consumer章节的

Consumer Poll Options

小节中，说过关于Consumer获取Message的四个配置项，都可以在Properties里进行设置。

启动Java Consumer后，在控制台可以看到如下信息： 

[main] INFO org.apache.kafka.common.utils.AppInfoParser - Kafka version : 2.0.0
[main] INFO org.apache.kafka.common.utils.AppInfoParser - Kafka commitId : 3402a8361b734732
[main] INFO org.apache.kafka.clients.Metadata - Cluster ID: 4nh_0r5iQ_KsR_Fzf1HTGg
[main] INFO org.apache.kafka.clients.consumer.internals.AbstractCoordinator - [Consumer clientId=consumer-1, groupId=consumer_group_1] Discovered group coordinator IP:9092 (id: 2147483647 rack: null)
[main] INFO org.apache.kafka.clients.consumer.internals.ConsumerCoordinator - [Consumer clientId=consumer-1, groupId=consumer_group_1] Revoking previously assigned partitions []
[main] INFO org.apache.kafka.clients.consumer.internals.AbstractCoordinator - [Consumer clientId=consumer-1, groupId=consumer_group_1] (Re-)joining group
[main] INFO org.apache.kafka.clients.consumer.internals.AbstractCoordinator - [Consumer clientId=consumer-1, groupId=consumer_group_1] Successfully joined group with generation 1
[main] INFO org.apache.kafka.clients.consumer.internals.ConsumerCoordinator - [Consumer clientId=consumer-1, groupId=consumer_group_1] Setting newly assigned partitions [first_topic-0, first_topic-1, first_topic-2]
[main] INFO org.apache.kafka.clients.consumer.internals.Fetcher - [Consumer clientId=consumer-1, groupId=consumer_group_1] Resetting offset for partition first_topic-0 to offset 23.
[main] INFO org.apache.kafka.clients.consumer.internals.Fetcher - [Consumer clientId=consumer-1, groupId=consumer_group_1] Resetting offset for partition first_topic-1 to offset 24.
[main] INFO org.apache.kafka.clients.consumer.internals.Fetcher - [Consumer clientId=consumer-1, groupId=consumer_group_1] Resetting offset for partition first_topic-2 to offset 21.

在上面的信息中，可以看到

Setting newly assigned partitions [first_topic-0, first_topic-1, first_topic-2]

这句话，说明当前这个Consumer会获取

first_topic

这个Topic中全部Partition中的Message。

如果我们再启动一个Consumer，这个Consumer和第一个在同一个组里，看看会有什么输出信息： 

[main] INFO org.apache.kafka.common.utils.AppInfoParser - Kafka version : 2.0.0
[main] INFO org.apache.kafka.common.utils.AppInfoParser - Kafka commitId : 3402a8361b734732
[main] INFO org.apache.kafka.clients.Metadata - Cluster ID: 4nh_0r5iQ_KsR_Fzf1HTGg
[main] INFO org.apache.kafka.clients.consumer.internals.AbstractCoordinator - [Consumer clientId=consumer-1, groupId=consumer_group_1] Discovered group coordinator IP:9092 (id: 2147483647 rack: null)
[main] INFO org.apache.kafka.clients.consumer.internals.ConsumerCoordinator - [Consumer clientId=consumer-1, groupId=consumer_group_1] Revoking previously assigned partitions []
[main] INFO org.apache.kafka.clients.consumer.internals.AbstractCoordinator - [Consumer clientId=consumer-1, groupId=consumer_group_1] (Re-)joining group
[main] INFO org.apache.kafka.clients.consumer.internals.AbstractCoordinator - [Consumer clientId=consumer-1, groupId=consumer_group_1] Successfully joined group with generation 2
[main] INFO org.apache.kafka.clients.consumer.internals.ConsumerCoordinator - [Consumer clientId=consumer-1, groupId=consumer_group_1] Setting newly assigned partitions [first_topic-2]

可以看到新启动的Consumer会输出

Setting newly assigned partitions [first_topic-2]

这句话，说明新的这个Consumer只会获取

first_topic

这个Topic的一个Partition中的Message。

再回去看看第一个Consumer的控制台： 

[main] INFO org.apache.kafka.clients.consumer.internals.AbstractCoordinator - [Consumer clientId=consumer-1, groupId=consumer_group_1] Attempt to heartbeat failed since group is rebalancing
[main] INFO org.apache.kafka.clients.consumer.internals.ConsumerCoordinator - [Consumer clientId=consumer-1, groupId=consumer_group_1] Revoking previously assigned partitions [first_topic-0, first_topic-1, first_topic-2]
[main] INFO org.apache.kafka.clients.consumer.internals.AbstractCoordinator - [Consumer clientId=consumer-1, groupId=consumer_group_1] (Re-)joining group
[main] INFO org.apache.kafka.clients.consumer.internals.AbstractCoordinator - [Consumer clientId=consumer-1, groupId=consumer_group_1] Successfully joined group with generation 2
[main] INFO org.apache.kafka.clients.consumer.internals.ConsumerCoordinator - [Consumer clientId=consumer-1, groupId=consumer_group_1] Setting newly assigned partitions [first_topic-0, first_topic-1]

第一个Consumer新输出在控制台中的信息很关键，首先看到

Attempt to heartbeat failed since group is rebalancing

这句话，说明Kafka会自动重新给Consumer Group里的Consumer分配Topic的Partition。

再看

Setting newly assigned partitions [first_topic-0, first_topic-1]

这句，说明第一个Consumer不会再获取

first_topic-2

这个Partition里的Message了。这也印证了在Consumer章节的

Consumer Group

小节里讲过的概念。

Java Consumer with Assign and Seek

如果我们有一个临时的Consumer，不想加入任何一个Consumer Group，而且需要指定Topic的Partition，以及指定从哪个Message Offset开始获取数据，怎么办？所幸，Kafka提供了这样的API。

首先我们在实例化配置信息时，就不需要指定Consumer Group了： 

Properties properties = new Properties();
properties.setProperty(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, KafkaConstant.BOOTSTRAP_SERVER);
properties.setProperty(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class.getName());
properties.setProperty(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class.getName());
properties.setProperty(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "earliest"); // earliest, none

然后实例化

TopicPartition

，指定Topic和Partition序号。使用Consumer的

assign(Collection<TopicPartition> partitions)

方法，分配给该Consumer： 

TopicPartition topicPartition = new TopicPartition("first_topic", 0);
consumer.assign(Arrays.asList(topicPartition));

再然后指定Message Offset： 

long offset = 21L;
consumer.seek(topicPartition, offset);

运行该Consumer，可以看到如下输出信息： 

[main] INFO org.apache.kafka.clients.consumer.internals.Fetcher - [Consumer clientId=consumer-1, groupId=] Fetch offset 21 is out of range for partition first_topic-0, resetting offset
[main] INFO org.apache.kafka.clients.consumer.internals.Fetcher - [Consumer clientId=consumer-1, groupId=] Resetting offset for partition first_topic-0 to offset 22.
[main] INFO com.devtalking.jacefu.kafka.tutorial.ConsumerDemoAssignSeek - Key: null, Value: hello world!
[main] INFO com.devtalking.jacefu.kafka.tutorial.ConsumerDemoAssignSeek - Partition: 0, Offset: 22

如果我们使用Consumer Group CLI查看，会发现这种操作其实也是临时创建了一个Consumer Group： 

root@iZ2ze2booskait1cxxyrljZ:~# kafka-consumer-groups.sh --bootstrap-server 127.0.0.1:9092 --list

consumer_group_1
KMOffsetCache-iZ2ze2booskait1cxxyrljZ