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/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.spark
import scala.concurrent.duration._
import scala.collection.mutable
import akka.actor.{Actor, Cancellable}
import org.apache.spark.executor.TaskMetrics
import org.apache.spark.storage.BlockManagerId
import org.apache.spark.scheduler.{SlaveLost, TaskScheduler}
import org.apache.spark.util.ActorLogReceive
/**
* A heartbeat from executors to the driver. This is a shared message used by several internal
* components to convey liveness or execution information for in-progress tasks. It will also
* expire the hosts that have not heartbeated for more than spark.network.timeout.
*/
private[spark] case class Heartbeat(
executorId: String,
taskMetrics: Array[(Long, TaskMetrics)], // taskId -> TaskMetrics
blockManagerId: BlockManagerId)
private[spark] case object ExpireDeadHosts
private[spark] case class HeartbeatResponse(reregisterBlockManager: Boolean)
/**
* Lives in the driver to receive heartbeats from executors..
*/
private[spark] class HeartbeatReceiver(sc: SparkContext, scheduler: TaskScheduler)
extends Actor with ActorLogReceive with Logging {
// executor ID -> timestamp of when the last heartbeat from this executor was received
private val executorLastSeen = new mutable.HashMap[String, Long]
// "spark.network.timeout" uses "seconds", while `spark.storage.blockManagerSlaveTimeoutMs` uses
// "milliseconds"
private val executorTimeoutMs = sc.conf.getOption("spark.network.timeout").map(_.toLong * 1000).
getOrElse(sc.conf.getLong("spark.storage.blockManagerSlaveTimeoutMs", 120000))
// "spark.network.timeoutInterval" uses "seconds", while
// "spark.storage.blockManagerTimeoutIntervalMs" uses "milliseconds"
private val checkTimeoutIntervalMs =
sc.conf.getOption("spark.network.timeoutInterval").map(_.toLong * 1000).
getOrElse(sc.conf.getLong("spark.storage.blockManagerTimeoutIntervalMs", 60000))
private var timeoutCheckingTask: Cancellable = null
override def preStart(): Unit = {
import context.dispatcher
timeoutCheckingTask = context.system.scheduler.schedule(0.seconds,
checkTimeoutIntervalMs.milliseconds, self, ExpireDeadHosts)
super.preStart()
}
override def receiveWithLogging: PartialFunction[Any, Unit] = {
case Heartbeat(executorId, taskMetrics, blockManagerId) =>
val unknownExecutor = !scheduler.executorHeartbeatReceived(
executorId, taskMetrics, blockManagerId)
val response = HeartbeatResponse(reregisterBlockManager = unknownExecutor)
executorLastSeen(executorId) = System.currentTimeMillis()
sender ! response
case ExpireDeadHosts =>
expireDeadHosts()
}
private def expireDeadHosts(): Unit = {
logTrace("Checking for hosts with no recent heartbeats in HeartbeatReceiver.")
val now = System.currentTimeMillis()
for ((executorId, lastSeenMs) <- executorLastSeen) {
if (now - lastSeenMs > executorTimeoutMs) {
logWarning(s"Removing executor $executorId with no recent heartbeats: " +
s"${now - lastSeenMs} ms exceeds timeout $executorTimeoutMs ms")
scheduler.executorLost(executorId, SlaveLost("Executor heartbeat " +
"timed out after ${now - lastSeenMs} ms"))
if (sc.supportDynamicAllocation) {
sc.killExecutor(executorId)
}
executorLastSeen.remove(executorId)
}
}
}
override def postStop(): Unit = {
if (timeoutCheckingTask != null) {
timeoutCheckingTask.cancel()
}
super.postStop()
}
}
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