Spark学习之13：Standalone HA

Standalone模式提供了通过zookeeper来保证Master的高可用性。Standalone模式可以利用Zookeeper来提多个Master间的领导选择和Worker、App的状态存储。

在Master启动时，对应的Master actor对象会根据RECOVERY_MODE来创建相应的Master失败恢复模式。

本文描述通过Zookeeper来恢复Master的过程。

1. 配置项

使用Zookeeper来恢复Master需要如下系统属性：





具体可参考Spark文档。

2. Master

2.1. Master.preStart

创建Master Actor对象后，akka会自动调用该方法。

override def preStart() {
    ......
    val (persistenceEngine_, leaderElectionAgent_) = RECOVERY_MODE match {
      case "ZOOKEEPER" =>
        logInfo("Persisting recovery state to ZooKeeper")
        val zkFactory =
          new ZooKeeperRecoveryModeFactory(conf, SerializationExtension(context.system))
        (zkFactory.createPersistenceEngine(), zkFactory.createLeaderElectionAgent(this))
      case "FILESYSTEM" =>
        val fsFactory =
          new FileSystemRecoveryModeFactory(conf, SerializationExtension(context.system))
        (fsFactory.createPersistenceEngine(), fsFactory.createLeaderElectionAgent(this))
      ......
    }
    persistenceEngine = persistenceEngine_
    leaderElectionAgent = leaderElectionAgent_
  }

preStart根据RECOVERY_MODE来创建相应的恢复模式。

在Zookeeper模式下：

（1）创建ZooKeeperRecoveryModeFactory；

（2）通过ZooKeeperRecoveryModeFactory来创建数据持久化引擎，用于存储worker、app的状态等，并创建领导选择代理。

2.2. ZooKeeperLeaderElectionAgent

领导选择代理。

private[spark] class ZooKeeperLeaderElectionAgent(val masterActor: LeaderElectable,
    conf: SparkConf) extends LeaderLatchListener with LeaderElectionAgent with Logging  {
  val WORKING_DIR = conf.get("spark.deploy.zookeeper.dir", "/spark") + "/leader_election"
  private var zk: CuratorFramework = _
  private var leaderLatch: LeaderLatch = _
  private var status = LeadershipStatus.NOT_LEADER
  start()
  def start() {
    logInfo("Starting ZooKeeper LeaderElection agent")
    zk = SparkCuratorUtil.newClient(conf)
    leaderLatch = new LeaderLatch(zk, WORKING_DIR)
    leaderLatch.addListener(this)
    leaderLatch.start()
  }

（1）每个Master对应的ZooKeeperLeaderElectionAgent对象都会通过SparkConf连接到Zookeeper，调用SparkCuratorUtil.newClient；

（2）将ZooKeeperLeaderElectionAgent对象作为LeaderLatch的listener，LeaderLatch将回调isLeader和notLeader方法；isLeader和notLeader方法将调用updateLeadershipStatus方法，通知Master
actor。

（3）启动notLeader对象。

2.2.1. ZooKeeperLeaderElectionAgent.updateLeadershipStatus

def updateLeadershipStatus(isLeader: Boolean) {
    if (isLeader && status == LeadershipStatus.NOT_LEADER) {
      status = LeadershipStatus.LEADER
      masterActor.electedLeader()
    } else if (!isLeader && status == LeadershipStatus.LEADER) {
      status = LeadershipStatus.NOT_LEADER
      masterActor.revokedLeadership()
    }
  }

在status状态发生变化时，通知Master Actor对象。如果选为leader则调用Master.electedLeader方法，否则调用Master.revokedLeadership。

2.2.2. Master.electedLeader和revokedLeadership

override def electedLeader() {
    self ! ElectedLeader
  }
  override def revokedLeadership() {
    self ! RevokedLeadership
  }

这两个方法分别向自身（Master Actor）发送ElectedLeader和RevokedLeadership消息。

2.3. ElectedLeader消息处理

override def receiveWithLogging = {
    case ElectedLeader => {
      val (storedApps, storedDrivers, storedWorkers) = persistenceEngine.readPersistedData()
      state = if (storedApps.isEmpty && storedDrivers.isEmpty && storedWorkers.isEmpty) {
        RecoveryState.ALIVE
      } else {
        RecoveryState.RECOVERING
      }
      logInfo("I have been elected leader! New state: " + state)
      if (state == RecoveryState.RECOVERING) {
        beginRecovery(storedApps, storedDrivers, storedWorkers)
        recoveryCompletionTask = context.system.scheduler.scheduleOnce(WORKER_TIMEOUT millis, self,
          CompleteRecovery)
      }
    }

Master被选为Leader。

（1）调用persistenceEngine读取数据，系统初次启动时，返回参数均为空；

（2）根据返回参数的状态，设置state为RecoveryState.ALIVE或RecoveryState.RECOVERING；

（3）如果state状态为RecoveryState.RECOVERING，则调用beginRecovery，开始Master恢复过程。

2.3.1. Master.beginRecovery

def beginRecovery(storedApps: Seq[ApplicationInfo], storedDrivers: Seq[DriverInfo],
      storedWorkers: Seq[WorkerInfo]) {
    for (app <- storedApps) {
      logInfo("Trying to recover app: " + app.id)
      try {
        registerApplication(app)
        app.state = ApplicationState.UNKNOWN
        app.driver ! MasterChanged(masterUrl, masterWebUiUrl)
      } catch {
        case e: Exception => logInfo("App " + app.id + " had exception on reconnect")
      }
    }
    for (driver <- storedDrivers) {
      // Here we just read in the list of drivers. Any drivers associated with now-lost workers
      // will be re-launched when we detect that the worker is missing.
      drivers += driver
    }
    for (worker <- storedWorkers) {
      logInfo("Trying to recover worker: " + worker.id)
      try {
        registerWorker(worker)
        worker.state = WorkerState.UNKNOWN
        worker.actor ! MasterChanged(masterUrl, masterWebUiUrl)
      } catch {
        case e: Exception => logInfo("Worker " + worker.id + " had exception on reconnect")
      }
    }
  }

（1）在该Master中重新注册app，并通知DriverActor，Master已经发生变化；

（2）在该Master中重新注册worker，并通知Worker Actor，Master已经发生变化。

注：

通过spark-submit提交应用时，由于不知道哪个Master是leader，所以需要提供所有的Master列表。当添加一个Worker节点时，由于也不知道哪个Master是leader，所以在调用sbin/start-slave.sh时，需要提供所有的Master列表。然而，通过sbin/start-all.sh启动整个集群时无需提供Master列表，也没法提供。