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前言
Apache Kafka发源于LinkedIn,于2011年成为Apache的孵化项目,随后于2012年成为Apache的主要项目之一。Kafka使用Scala和Java进行编写。Apache Kafka是一个快速、可扩展的、高吞吐、可容错的分布式发布订阅消息系统。Kafka具有高吞吐量、内置分区、支持数据副本和容错的特性,适合在大规模消息处理场景中使用。
本文依然是以kafka0.8.2.2为例讲解
一,如何删除一个topic
删除一个topic有两个关键点:
1,配置删除参数
delete.topic.enable这个Broker参数配置为True。
2,执行
bin/kafka-topics.sh --zookeeper zk_host:port/chroot --delete --topic my_topic_name
假如不配置删除参数为true的话,topic其实并没有被清除,只是被标记为删除。此时,估计一般人的做法是删除topic在Zookeeper的信息和日志,其实这个操作并不会清除kafkaBroker内存的topic数据。所以,此时最佳的策略是配置删除参数为true然后,重启kafka。
二,重要的类介绍
1,PartitionStateMachine
该类代表分区的状态机。决定者分区的当前状态,和状态转移。四种状态
NonExistentPartition
NewPartition
OnlinePartition
OfflinePartition
2,ReplicaManager
负责管理当前机器的所有副本,处理读写、删除等具体动作。
读写:写获取partition对象,再获取Replica对象,再获取Log对象,采用其管理的Segment对象将数据写入、读出。
3,ReplicaStateMachine
副本的状态机。决定者副本的当前状态和状态之间的转移。一个副本总共可以处于一下几种状态的一种
NewReplica:Crontroller在分区重分配的时候可以创建一个新的副本。只能接受变为follower的请求。前状态可以是NonExistentReplica
OnlineReplica:新启动的分区,能接受变为leader或者follower请求。前状态可以是NewReplica, OnlineReplica or OfflineReplica
OfflineReplica:死亡的副本处于这种状态。前状态可以是NewReplica, OnlineReplica
ReplicaDeletionStarted:分本删除开始的时候处于这种状态,前状态是OfflineReplica
ReplicaDeletionSuccessful:副本删除成功。前状态是ReplicaDeletionStarted
ReplicaDeletionIneligible:删除失败的时候处于这种状态。前状态是ReplicaDeletionStarted
NonExistentReplica:副本成功删除之后处于这种状态,前状态是ReplicaDeletionSuccessful
4,TopicDeletionManager
该类管理着topic删除的状态机
1),TopicCommand通过创建/admin/delete_topics/<topic>,来发布topic删除命令。
2),Controller监听/admin/delete_topic子节点变动,开始分别删除topic
3),Controller有个后台线程负责删除Topic
三,源码彻底解析topic的删除过程
此处会分四个部分:
A),客户端执行删除命令作用
B),不配置delete.topic.enable整个流水的源码
C),配置了delete.topic.enable整个流水的源码
D),手动删除zk上topic信息和磁盘数据
1,客户端执行删除命令
bin/kafka-topics.sh --zookeeper zk_host:port/chroot --delete --topic my_topic_name
进入kafka-topics.sh我们会看到
exec $(dirname $0)/kafka-run-class.sh kafka.admin.TopicCommand $@
进入TopicCommand里面,main方法里面
else if(opts.options.has(opts.deleteOpt)) deleteTopic(zkClient, opts)
实际内容是
val topics = getTopics(zkClient, opts) if (topics.length == 0) { println("Topic %s does not exist".format(opts.options.valueOf(opts.topicOpt))) } topics.foreach { topic => try { ZkUtils.createPersistentPath(zkClient, ZkUtils.getDeleteTopicPath(topic))
在"/admin/delete_topics"目录下创建了一个topicName的节点。
2,假如不配置delete.topic.enable整个流水是
总共有两处listener会响应:
A),TopicChangeListener
B),DeleteTopicsListener
使用topic的删除命令删除一个topic的话,指挥触发DeleteTopicListener。
var topicsToBeDeleted = { import JavaConversions._ (children: Buffer[String]).toSet } val nonExistentTopics = topicsToBeDeleted.filter(t => !controllerContext.allTopics.contains(t)) topicsToBeDeleted --= nonExistentTopics if(topicsToBeDeleted.size > 0) { info("Starting topic deletion for topics " + topicsToBeDeleted.mkString(",")) // mark topic ineligible for deletion if other state changes are in progress topicsToBeDeleted.foreach { topic => val preferredReplicaElectionInProgress = controllerContext.partitionsUndergoingPreferredReplicaElection.map(_.topic).contains(topic) val partitionReassignmentInProgress = controllerContext.partitionsBeingReassigned.keySet.map(_.topic).contains(topic) if(preferredReplicaElectionInProgress || partitionReassignmentInProgress) controller.deleteTopicManager.markTopicIneligibleForDeletion(Set(topic)) } // add topic to deletion list controller.deleteTopicManager.enqueueTopicsForDeletion(topicsToBeDeleted) }
由于都会判断delete.topic.enable是否为true,假如不为true就不会执行,为true就进入执行
controller.deleteTopicManager.markTopicIneligibleForDeletion(Set(topic)) controller.deleteTopicManager.enqueueTopicsForDeletion(topicsToBeDeleted)
3,delete.topic.enable配置为true
此处与步骤2的区别,就是那两个处理函数。
controller.deleteTopicManager.markTopicIneligibleForDeletion(Set(topic)) controller.deleteTopicManager.enqueueTopicsForDeletion(topicsToBeDeleted)
markTopicIneligibleForDeletion函数的处理为
if(isDeleteTopicEnabled) { val newTopicsToHaltDeletion = topicsToBeDeleted & topics topicsIneligibleForDeletion ++= newTopicsToHaltDeletion if(newTopicsToHaltDeletion.size > 0) info("Halted deletion of topics %s".format(newTopicsToHaltDeletion.mkString(","))) }
主要是停止删除topic,假如存储以下三种情况
* Halt delete topic if -
* 1. replicas being down
* 2. partition reassignment in progress for some partitions of the topic
* 3. preferred replica election in progress for some partitions of the topic
enqueueTopicsForDeletion主要作用是更新删除topic的集合,并激活TopicDeleteThread
def enqueueTopicsForDeletion(topics: Set[String]) { if(isDeleteTopicEnabled) { topicsToBeDeleted ++= topics partitionsToBeDeleted ++= topics.flatMap(controllerContext.partitionsForTopic) resumeTopicDeletionThread() } }
在删除线程DeleteTopicsThread的doWork方法中
topicsQueuedForDeletion.foreach { topic => // if all replicas are marked as deleted successfully, then topic deletion is done if(controller.replicaStateMachine.areAllReplicasForTopicDeleted(topic)) { // clear up all state for this topic from controller cache and zookeeper completeDeleteTopic(topic) info("Deletion of topic %s successfully completed".format(topic)) }
进入completeDeleteTopic方法中
// deregister partition change listener on the deleted topic. This is to prevent the partition change listener // firing before the new topic listener when a deleted topic gets auto created partitionStateMachine.deregisterPartitionChangeListener(topic) val replicasForDeletedTopic = controller.replicaStateMachine.replicasInState(topic, ReplicaDeletionSuccessful) // controller will remove this replica from the state machine as well as its partition assignment cache replicaStateMachine.handleStateChanges(replicasForDeletedTopic, NonExistentReplica) val partitionsForDeletedTopic = controllerContext.partitionsForTopic(topic) // move respective partition to OfflinePartition and NonExistentPartition state partitionStateMachine.handleStateChanges(partitionsForDeletedTopic, OfflinePartition) partitionStateMachine.handleStateChanges(partitionsForDeletedTopic, NonExistentPartition) topicsToBeDeleted -= topic partitionsToBeDeleted.retain(_.topic != topic) controllerContext.zkClient.deleteRecursive(ZkUtils.getTopicPath(topic)) controllerContext.zkClient.deleteRecursive(ZkUtils.getTopicConfigPath(topic)) controllerContext.zkClient.delete(ZkUtils.getDeleteTopicPath(topic)) controllerContext.removeTopic(topic)
主要作用是解除掉监控分区变动的listener,删除Zookeeper具体节点信息,删除磁盘数据,更新内存数据结构,比如从副本状态机里面移除分区的具体信息。
其实,最终要的是我们的副本磁盘数据是如何删除的。我们重点介绍这个部分。
首次清除的话,在删除线程DeleteTopicsThread的doWork方法中
{ // if you come here, then no replica is in TopicDeletionStarted and all replicas are not in // TopicDeletionSuccessful. That means, that either given topic haven't initiated deletion // or there is at least one failed replica (which means topic deletion should be retried). if(controller.replicaStateMachine.isAnyReplicaInState(topic, ReplicaDeletionIneligible)) { // mark topic for deletion retry markTopicForDeletionRetry(topic) }
进入markTopicForDeletionRetry
val failedReplicas = controller.replicaStateMachine.replicasInState(topic, ReplicaDeletionIneligible) info("Retrying delete topic for topic %s since replicas %s were not successfully deleted" .format(topic, failedReplicas.mkString(","))) controller.replicaStateMachine.handleStateChanges(failedReplicas, OfflineReplica)
在ReplicaStateMachine的handleStateChanges方法中,调用了handleStateChange,处理OfflineReplica
// send stop replica command to the replica so that it stops fetching from the leader brokerRequestBatch.addStopReplicaRequestForBrokers(List(replicaId), topic, partition, deletePartition = false)
接着在handleStateChanges中
brokerRequestBatch.sendRequestsToBrokers(controller.epoch, controllerContext.correlationId.getAndIncrement)
给副本数据存储节点发送StopReplicaKey副本指令,并开始删除数据
stopReplicaRequestMap foreach { case(broker, replicaInfoList) => val stopReplicaWithDelete = replicaInfoList.filter(p => p.deletePartition == true).map(i => i.replica).toSet val stopReplicaWithoutDelete = replicaInfoList.filter(p => p.deletePartition == false).map(i => i.replica).toSet debug("The stop replica request (delete = true) sent to broker %d is %s" .format(broker, stopReplicaWithDelete.mkString(","))) debug("The stop replica request (delete = false) sent to broker %d is %s" .format(broker, stopReplicaWithoutDelete.mkString(","))) replicaInfoList.foreach { r => val stopReplicaRequest = new StopReplicaRequest(r.deletePartition, Set(TopicAndPartition(r.replica.topic, r.replica.partition)), controllerId, controllerEpoch, correlationId) controller.sendRequest(broker, stopReplicaRequest, r.callback) } } stopReplicaRequestMap.clear()
Broker的KafkaApis的Handle方法在接受到指令后
case RequestKeys.StopReplicaKey => handleStopReplicaRequest(request)
val (response, error) = replicaManager.stopReplicas(stopReplicaRequest)
接着是在stopReplicas方法中
{ controllerEpoch = stopReplicaRequest.controllerEpoch // First stop fetchers for all partitions, then stop the corresponding replicas replicaFetcherManager.removeFetcherForPartitions(stopReplicaRequest.partitions.map(r => TopicAndPartition(r.topic, r.partition))) for(topicAndPartition <- stopReplicaRequest.partitions){ val errorCode = stopReplica(topicAndPartition.topic, topicAndPartition.partition, stopReplicaRequest.deletePartitions) responseMap.put(topicAndPartition, errorCode) } (responseMap, ErrorMapping.NoError) }
进一步进入stopReplica方法,正式进入日志删除
getPartition(topic, partitionId) match { case Some(partition) => if(deletePartition) { val removedPartition = allPartitions.remove((topic, partitionId)) if (removedPartition != null) removedPartition.delete() // this will delete the local log }
以上就是kafka的整个日志删除流水。
4,手动删除zk上topic信息和磁盘数据
TopicChangeListener会监听处理,但是处理很简单,只是更新了
val deletedTopics = controllerContext.allTopics -- currentChildren controllerContext.allTopics = currentChildren val addedPartitionReplicaAssignment = ZkUtils.getReplicaAssignmentForTopics(zkClient, newTopics.toSeq) controllerContext.partitionReplicaAssignment = controllerContext.partitionReplicaAssignment.filter(p =>
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本文名称:Kafka中如何删除topic
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