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package spark.deploy.worker
import scala.collection.mutable.{ArrayBuffer, HashMap}
import akka.actor.{ActorRef, Props, Actor}
import spark.{Logging, Utils}
import spark.util.AkkaUtils
import spark.deploy._
import akka.remote.RemoteClientLifeCycleEvent
import java.text.SimpleDateFormat
import java.util.Date
import akka.remote.RemoteClientShutdown
import akka.remote.RemoteClientDisconnected
import spark.deploy.RegisterWorker
import spark.deploy.LaunchExecutor
import spark.deploy.RegisterWorkerFailed
import akka.actor.Terminated
import java.io.File
private[spark] class Worker(
ip: String,
port: Int,
webUiPort: Int,
cores: Int,
memory: Int,
masterUrl: String,
workDirPath: String = null)
extends Actor with Logging {
val DATE_FORMAT = new SimpleDateFormat("yyyyMMddHHmmss") // For worker and executor IDs
val MASTER_REGEX = "spark://([^:]+):([0-9]+)".r
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 ip
}
var coresUsed = 0
var memoryUsed = 0
def coresFree: Int = cores - coresUsed
def memoryFree: Int = memory - memoryUsed
def createWorkDir() {
workDir = if (workDirPath != null) {
new File(workDirPath)
} else {
new File(sparkHome, "work")
}
try {
if (!workDir.exists() && !workDir.mkdirs()) {
logError("Failed to create work directory " + workDir)
System.exit(1)
}
} 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(
ip, port, cores, Utils.memoryMegabytesToString(memory)))
val envVar = System.getenv("SPARK_HOME")
sparkHome = new File(if (envVar == null) "." else envVar)
logInfo("Spark home: " + sparkHome)
createWorkDir()
connectToMaster()
startWebUi()
}
def connectToMaster() {
masterUrl match {
case MASTER_REGEX(masterHost, masterPort) => {
logInfo("Connecting to master spark://" + masterHost + ":" + masterPort)
val akkaUrl = "akka://spark@%s:%s/user/Master".format(masterHost, masterPort)
try {
master = context.actorFor(akkaUrl)
master ! RegisterWorker(workerId, ip, port, cores, memory, webUiPort, publicAddress)
context.system.eventStream.subscribe(self, classOf[RemoteClientLifeCycleEvent])
context.watch(master) // Doesn't work with remote actors, but useful for testing
} catch {
case e: Exception =>
logError("Failed to connect to master", e)
System.exit(1)
}
}
case _ =>
logError("Invalid master URL: " + masterUrl)
System.exit(1)
}
}
def startWebUi() {
val webUi = new WorkerWebUI(context.system, self)
try {
AkkaUtils.startSprayServer(context.system, "0.0.0.0", webUiPort, webUi.handler)
} catch {
case e: Exception =>
logError("Failed to create web UI", e)
System.exit(1)
}
}
override def receive = {
case RegisteredWorker(url) =>
masterWebUiUrl = url
logInfo("Successfully registered with master")
case RegisterWorkerFailed(message) =>
logError("Worker registration failed: " + message)
System.exit(1)
case LaunchExecutor(jobId, execId, jobDesc, cores_, memory_, execSparkHome_) =>
logInfo("Asked to launch executor %s/%d for %s".format(jobId, execId, jobDesc.name))
val manager = new ExecutorRunner(
jobId, execId, jobDesc, cores_, memory_, self, workerId, ip, new File(execSparkHome_), workDir)
executors(jobId + "/" + execId) = manager
manager.start()
coresUsed += cores_
memoryUsed += memory_
master ! ExecutorStateChanged(jobId, execId, ExecutorState.RUNNING, None, None)
case ExecutorStateChanged(jobId, execId, state, message, exitStatus) =>
master ! ExecutorStateChanged(jobId, execId, state, message, exitStatus)
val fullId = jobId + "/" + 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(jobId, execId) =>
val fullId = jobId + "/" + 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 ! WorkerState(ip + ":" + 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), ip, port)
}
override def postStop() {
executors.values.foreach(_.kill())
}
}
private[spark] object Worker {
def main(argStrings: Array[String]) {
val args = new WorkerArguments(argStrings)
val (actorSystem, boundPort) = AkkaUtils.createActorSystem("spark", args.ip, args.port)
val actor = actorSystem.actorOf(
Props(new Worker(args.ip, boundPort, args.webUiPort, args.cores, args.memory,
args.master, args.workDir)),
name = "Worker")
actorSystem.awaitTermination()
}
}
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