kafka rebalance 部分分区没有owner

 转发请注明原创地址http://www.cnblogs.com/dongxiao-yang/p/6234673.html     

      最近业务同学反馈kafka上线的时候某个topic的部分分区一直没有owner注册上，监控界面形式如图，其中分区5和7无法被消费者注册到，重启客户端程序rebalance依旧是这两个分区没有被消费。

     由于最近业务方机房大迁移，第一反应是网络连通性，但是消费端程序挨个测试网络没有问题，而且即使通过增加或者减少consumer数量，甚至消费端只开一个客户端，rebalance结束后依然会有分区没有owner，而且随着消费端个数的变化，无owner的分区号也发生了变化，整个rebalance过程客户端程序没有任何错误日志。

    这种情况还得去过客户端日志，在只起了两个客户端的时候发现有这么一段：

16/12/29 15:52:56 INFO consumer.ZookeeperConsumerConnector: [xxx], Consumer xxx rebalancing the following partitions: ArrayBuffer(5, 7, 3, 8, 1, 4, 6, 2, 0, 9) for topic onlineAdDemographicPredict with consumers: List(aaa-0, yyy-0, xxx-0)
16/12/29 15:52:56 INFO consumer.ZookeeperConsumerConnector: [xxx], xxx-0 attempting to claim partition 2
16/12/29 15:52:56 INFO consumer.ZookeeperConsumerConnector: [xxx], xxx-0 attempting to claim partition 0
16/12/29 15:52:56 INFO consumer.ZookeeperConsumerConnector: [xxx], xxx-0 attempting to claim partition 9
16/12/29 15:52:56 INFO consumer.ZookeeperConsumerConnector: [xxx], xxx-0 successfully owned partition 0 for topic onlineAdDemographicPredict
16/12/29 15:52:56 INFO consumer.ZookeeperConsumerConnector: [xxx], xxx-0 successfully owned partition 9 for topic onlineAdDemographicPredict
16/12/29 15:52:56 INFO consumer.ZookeeperConsumerConnector: [xxx], xxx-0 successfully owned partition 2 for topic onlineAdDemographicPredict

ArrayBuffer里分区10个分区都全了说明客户端读取所有Partirtion个数是没有问题的，出问题的是with consumers: List（）这个信息，此时业务方只起了xxx和yyy两个客户端，

但是Consumer确拿到了三个client-id，然后经过计算自己正好需要注册三个分区2，0，9，剩下的分区就没人认领了。

查找日志对应kafka源码如下

class RangeAssignor() extends PartitionAssignor with Logging {

  def assign(ctx: AssignmentContext) = {
    val partitionOwnershipDecision = collection.mutable.Map[TopicAndPartition, ConsumerThreadId]()

    for ((topic, consumerThreadIdSet) <- ctx.myTopicThreadIds) {
      val curConsumers = ctx.consumersForTopic(topic)
      val curPartitions: Seq[Int] = ctx.partitionsForTopic(topic)

      val nPartsPerConsumer = curPartitions.size / curConsumers.size
      val nConsumersWithExtraPart = curPartitions.size % curConsumers.size

      info("Consumer " + ctx.consumerId + " rebalancing the following partitions: " + curPartitions +
        " for topic " + topic + " with consumers: " + curConsumers)

      for (consumerThreadId <- consumerThreadIdSet) {
        val myConsumerPosition = curConsumers.indexOf(consumerThreadId)
        assert(myConsumerPosition >= 0)
        val startPart = nPartsPerConsumer * myConsumerPosition + myConsumerPosition.min(nConsumersWithExtraPart)
        val nParts = nPartsPerConsumer + (if (myConsumerPosition + 1 > nConsumersWithExtraPart) 0 else 1)

        /**
         *   Range-partition the sorted partitions to consumers for better locality.
         *  The first few consumers pick up an extra partition, if any.
         */
        if (nParts <= 0)
          warn("No broker partitions consumed by consumer thread " + consumerThreadId + " for topic " + topic)
        else {
          for (i <- startPart until startPart + nParts) {
            val partition = curPartitions(i)
            info(consumerThreadId + " attempting to claim partition " + partition)
            // record the partition ownership decision
            partitionOwnershipDecision += (TopicAndPartition(topic, partition) -> consumerThreadId)
          }
        }
      }
    }

    partitionOwnershipDecision
  }
}

object PartitionAssignor {
  def createInstance(assignmentStrategy: String) = assignmentStrategy match {
    case "roundrobin" => new RoundRobinAssignor()
    case _ => new RangeAssignor()
  }
}

class AssignmentContext(group: String, val consumerId: String, excludeInternalTopics: Boolean, zkClient: ZkClient) {
  val myTopicThreadIds: collection.Map[String, collection.Set[ConsumerThreadId]] = {
    val myTopicCount = TopicCount.constructTopicCount(group, consumerId, zkClient, excludeInternalTopics)
    myTopicCount.getConsumerThreadIdsPerTopic
  }

  val partitionsForTopic: collection.Map[String, Seq[Int]] =
    ZkUtils.getPartitionsForTopics(zkClient, myTopicThreadIds.keySet.toSeq)

  val consumersForTopic: collection.Map[String, List[ConsumerThreadId]] =
    ZkUtils.getConsumersPerTopic(zkClient, group, excludeInternalTopics)

  val consumers: Seq[String] = ZkUtils.getConsumersInGroup(zkClient, group).sorted
}

class ZKGroupDirs(val group: String) {
  def consumerDir = ConsumersPath
  def consumerGroupDir = consumerDir + "/" + group
  def consumerRegistryDir = consumerGroupDir + "/ids"
  def consumerGroupOffsetsDir = consumerGroupDir + "/offsets"
  def consumerGroupOwnersDir = consumerGroupDir + "/owners"
}



  def getConsumersPerTopic(group: String, excludeInternalTopics: Boolean): mutable.Map[String, List[ConsumerThreadId]] = {
    val dirs = new ZKGroupDirs(group)
    val consumers = getChildrenParentMayNotExist(dirs.consumerRegistryDir)
    val consumersPerTopicMap = new mutable.HashMap[String, List[ConsumerThreadId]]
    for (consumer <- consumers) {
      val topicCount = TopicCount.constructTopicCount(group, consumer, this, excludeInternalTopics)
      for ((topic, consumerThreadIdSet) <- topicCount.getConsumerThreadIdsPerTopic) {
        for (consumerThreadId <- consumerThreadIdSet)
          consumersPerTopicMap.get(topic) match {
            case Some(curConsumers) => consumersPerTopicMap.put(topic, consumerThreadId :: curConsumers)
            case _ => consumersPerTopicMap.put(topic, List(consumerThreadId))
          }
      }
    }
    for ( (topic, consumerList) <- consumersPerTopicMap )
      consumersPerTopicMap.put(topic, consumerList.sortWith((s,t) => s < t))
    consumersPerTopicMap
  }

 def constructTopicCount(group: String, consumerId: String, zkUtils: ZkUtils, excludeInternalTopics: Boolean) : TopicCount = {
    val dirs = new ZKGroupDirs(group)
    val topicCountString = zkUtils.readData(dirs.consumerRegistryDir + "/" + consumerId)._1
    var subscriptionPattern: String = null
    var topMap: Map[String, Int] = null
    try {
      Json.parseFull(topicCountString) match {
        case Some(m) =>
          val consumerRegistrationMap = m.asInstanceOf[Map[String, Any]]
          consumerRegistrationMap.get("pattern") match {
            case Some(pattern) => subscriptionPattern = pattern.asInstanceOf[String]
            case None => throw new KafkaException("error constructing TopicCount : " + topicCountString)
          }
          consumerRegistrationMap.get("subscription") match {
            case Some(sub) => topMap = sub.asInstanceOf[Map[String, Int]]
            case None => throw new KafkaException("error constructing TopicCount : " + topicCountString)
          }
        case None => throw new KafkaException("error constructing TopicCount : " + topicCountString)
      }
    } catch {
      case e: Throwable =>

　　　　

      通过上面着色的代码一路跟下来，可以看出来Consumer获取group所有客户端数量逻辑是读取zk上 /kafkachroot/consumers/{groupid}/ids路径下

所有存在的consumerid，然后读取这些consumerid对应的topic信息，最终返回一个[topic, List[ConsumerThreadId]] 的二维数组。

      于是跑到zk上看节点结构，发现在出问题的group/ids 路径下果然存在aaa这个临时节点，通知应用方发现原来有个很老的程序之前也用同样的groupid消费过这个topic，但是现在业务程序很久没人管处在一个半假死的状态，所以这个临时节点一直不过期，导致后来使用同样group消费同样的每次都会感知到一个多余的消费段存在，所以每次都有部分分区无法被消费。

附：

 1  Consumer Rebalance的算法

2  本文讨论的版本建立在kafka 0.8.2-beta版本前提上，新出的版本目前没有研究，可能情况不符。