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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 spark.deploy.worker
import java.text.SimpleDateFormat
import java.util.Date
import java.io.File
import scala.collection.mutable.HashMap
import akka.actor.{ActorRef, Props, Actor, ActorSystem, Terminated}
import akka.remote.{RemoteClientLifeCycleEvent, RemoteClientShutdown, RemoteClientDisconnected}
import akka.util.duration._
import spark.{Logging, Utils}
import spark.deploy.ExecutorState
import spark.deploy.DeployMessages._
import spark.deploy.master.Master
import spark.deploy.worker.ui.WorkerWebUI
import spark.metrics.MetricsSystem
import spark.util.AkkaUtils
private[spark] class Worker(
host: String,
port: Int,
webUiPort: Int,
cores: Int,
memory: Int,
masterUrl: String,
workDirPath: String = null)
extends Actor with Logging {
Utils.checkHost(host, "Expected hostname")
assert (port > 0)
val DATE_FORMAT = new SimpleDateFormat("yyyyMMddHHmmss") // For worker and executor IDs
// Send a heartbeat every (heartbeat timeout) / 4 milliseconds
val HEARTBEAT_MILLIS = System.getProperty("spark.worker.timeout", "60").toLong * 1000 / 4
var master: ActorRef = null
var masterWebUiUrl : String = ""
val workerId = generateWorkerId()
var sparkHome: File = null
var workDir: File = null
val executors = new HashMap[String, ExecutorRunner]
val finishedExecutors = new HashMap[String, ExecutorRunner]
val publicAddress = {
val envVar = System.getenv("SPARK_PUBLIC_DNS")
if (envVar != null) envVar else host
}
var webUi: WorkerWebUI = null
var coresUsed = 0
var memoryUsed = 0
val metricsSystem = MetricsSystem.createMetricsSystem("worker")
val workerSource = new WorkerSource(this)
def coresFree: Int = cores - coresUsed
def memoryFree: Int = memory - memoryUsed
def createWorkDir() {
workDir = Option(workDirPath).map(new File(_)).getOrElse(new File(sparkHome, "work"))
try {
// This sporadically fails - not sure why ... !workDir.exists() && !workDir.mkdirs()
// So attempting to create and then check if directory was created or not.
workDir.mkdirs()
if ( !workDir.exists() || !workDir.isDirectory) {
logError("Failed to create work directory " + workDir)
System.exit(1)
}
assert (workDir.isDirectory)
} catch {
case e: Exception =>
logError("Failed to create work directory " + workDir, e)
System.exit(1)
}
}
override def preStart() {
logInfo("Starting Spark worker %s:%d with %d cores, %s RAM".format(
host, port, cores, Utils.memoryMegabytesToString(memory)))
sparkHome = new File(Option(System.getenv("SPARK_HOME")).getOrElse("."))
logInfo("Spark home: " + sparkHome)
createWorkDir()
webUi = new WorkerWebUI(this, workDir, Some(webUiPort))
// Add default MetricsServlet handlers to webUi
metricsSystem.metricsServlet foreach { m =>
webUi.handlers = m.getHandlers ++ webUi.handlers
}
webUi.start()
connectToMaster()
metricsSystem.registerSource(workerSource)
metricsSystem.start()
}
def connectToMaster() {
logInfo("Connecting to master " + masterUrl)
master = context.actorFor(Master.toAkkaUrl(masterUrl))
master ! RegisterWorker(workerId, host, port, cores, memory, webUi.boundPort.get, publicAddress)
context.system.eventStream.subscribe(self, classOf[RemoteClientLifeCycleEvent])
context.watch(master) // Doesn't work with remote actors, but useful for testing
}
override def receive = {
case RegisteredWorker(url) =>
masterWebUiUrl = url
logInfo("Successfully registered with master")
context.system.scheduler.schedule(0 millis, HEARTBEAT_MILLIS millis) {
master ! Heartbeat(workerId)
}
case RegisterWorkerFailed(message) =>
logError("Worker registration failed: " + message)
System.exit(1)
case LaunchExecutor(appId, execId, appDesc, cores_, memory_, execSparkHome_) =>
logInfo("Asked to launch executor %s/%d for %s".format(appId, execId, appDesc.name))
val manager = new ExecutorRunner(
appId, execId, appDesc, cores_, memory_, self, workerId, host + ":" + port, new File(execSparkHome_), workDir)
executors(appId + "/" + execId) = manager
manager.start()
coresUsed += cores_
memoryUsed += memory_
master ! ExecutorStateChanged(appId, execId, ExecutorState.RUNNING, None, None)
case ExecutorStateChanged(appId, execId, state, message, exitStatus) =>
master ! ExecutorStateChanged(appId, execId, state, message, exitStatus)
val fullId = appId + "/" + execId
if (ExecutorState.isFinished(state)) {
val executor = executors(fullId)
logInfo("Executor " + fullId + " finished with state " + state +
message.map(" message " + _).getOrElse("") +
exitStatus.map(" exitStatus " + _).getOrElse(""))
finishedExecutors(fullId) = executor
executors -= fullId
coresUsed -= executor.cores
memoryUsed -= executor.memory
}
case KillExecutor(appId, execId) =>
val fullId = appId + "/" + execId
executors.get(fullId) match {
case Some(executor) =>
logInfo("Asked to kill executor " + fullId)
executor.kill()
case None =>
logInfo("Asked to kill unknown executor " + fullId)
}
case Terminated(_) | RemoteClientDisconnected(_, _) | RemoteClientShutdown(_, _) =>
masterDisconnected()
case RequestWorkerState => {
sender ! WorkerStateResponse(host, port, workerId, executors.values.toList,
finishedExecutors.values.toList, masterUrl, cores, memory,
coresUsed, memoryUsed, masterWebUiUrl)
}
}
def masterDisconnected() {
// TODO: It would be nice to try to reconnect to the master, but just shut down for now.
// (Note that if reconnecting we would also need to assign IDs differently.)
logError("Connection to master failed! Shutting down.")
executors.values.foreach(_.kill())
System.exit(1)
}
def generateWorkerId(): String = {
"worker-%s-%s-%d".format(DATE_FORMAT.format(new Date), host, port)
}
override def postStop() {
executors.values.foreach(_.kill())
webUi.stop()
metricsSystem.stop()
}
}
private[spark] object Worker {
def main(argStrings: Array[String]) {
val args = new WorkerArguments(argStrings)
val (actorSystem, _) = startSystemAndActor(args.host, args.port, args.webUiPort, args.cores,
args.memory, args.master, args.workDir)
actorSystem.awaitTermination()
}
def startSystemAndActor(host: String, port: Int, webUiPort: Int, cores: Int, memory: Int,
masterUrl: String, workDir: String, workerNumber: Option[Int] = None): (ActorSystem, Int) = {
// The LocalSparkCluster runs multiple local sparkWorkerX actor systems
val systemName = "sparkWorker" + workerNumber.map(_.toString).getOrElse("")
val (actorSystem, boundPort) = AkkaUtils.createActorSystem(systemName, host, port)
val actor = actorSystem.actorOf(Props(new Worker(host, boundPort, webUiPort, cores, memory,
masterUrl, workDir)), name = "Worker")
(actorSystem, boundPort)
}
}
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