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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.deploy.master
import java.text.SimpleDateFormat
import java.util.{Date, Locale}
import java.util.concurrent.{ScheduledFuture, TimeUnit}
import scala.collection.mutable.{ArrayBuffer, HashMap, HashSet}
import scala.util.Random
import org.apache.spark.{SecurityManager, SparkConf, SparkException}
import org.apache.spark.deploy.{ApplicationDescription, DriverDescription,
ExecutorState, SparkHadoopUtil}
import org.apache.spark.deploy.DeployMessages._
import org.apache.spark.deploy.master.DriverState.DriverState
import org.apache.spark.deploy.master.MasterMessages._
import org.apache.spark.deploy.master.ui.MasterWebUI
import org.apache.spark.deploy.rest.StandaloneRestServer
import org.apache.spark.internal.Logging
import org.apache.spark.metrics.MetricsSystem
import org.apache.spark.rpc._
import org.apache.spark.serializer.{JavaSerializer, Serializer}
import org.apache.spark.util.{SparkUncaughtExceptionHandler, ThreadUtils, Utils}
private[deploy] class Master(
override val rpcEnv: RpcEnv,
address: RpcAddress,
webUiPort: Int,
val securityMgr: SecurityManager,
val conf: SparkConf)
extends ThreadSafeRpcEndpoint with Logging with LeaderElectable {
private val forwardMessageThread =
ThreadUtils.newDaemonSingleThreadScheduledExecutor("master-forward-message-thread")
private val hadoopConf = SparkHadoopUtil.get.newConfiguration(conf)
// For application IDs
private def createDateFormat = new SimpleDateFormat("yyyyMMddHHmmss", Locale.US)
private val WORKER_TIMEOUT_MS = conf.getLong("spark.worker.timeout", 60) * 1000
private val RETAINED_APPLICATIONS = conf.getInt("spark.deploy.retainedApplications", 200)
private val RETAINED_DRIVERS = conf.getInt("spark.deploy.retainedDrivers", 200)
private val REAPER_ITERATIONS = conf.getInt("spark.dead.worker.persistence", 15)
private val RECOVERY_MODE = conf.get("spark.deploy.recoveryMode", "NONE")
private val MAX_EXECUTOR_RETRIES = conf.getInt("spark.deploy.maxExecutorRetries", 10)
val workers = new HashSet[WorkerInfo]
val idToApp = new HashMap[String, ApplicationInfo]
private val waitingApps = new ArrayBuffer[ApplicationInfo]
val apps = new HashSet[ApplicationInfo]
private val idToWorker = new HashMap[String, WorkerInfo]
private val addressToWorker = new HashMap[RpcAddress, WorkerInfo]
private val endpointToApp = new HashMap[RpcEndpointRef, ApplicationInfo]
private val addressToApp = new HashMap[RpcAddress, ApplicationInfo]
private val completedApps = new ArrayBuffer[ApplicationInfo]
private var nextAppNumber = 0
private val drivers = new HashSet[DriverInfo]
private val completedDrivers = new ArrayBuffer[DriverInfo]
// Drivers currently spooled for scheduling
private val waitingDrivers = new ArrayBuffer[DriverInfo]
private var nextDriverNumber = 0
Utils.checkHost(address.host)
private val masterMetricsSystem = MetricsSystem.createMetricsSystem("master", conf, securityMgr)
private val applicationMetricsSystem = MetricsSystem.createMetricsSystem("applications", conf,
securityMgr)
private val masterSource = new MasterSource(this)
// After onStart, webUi will be set
private var webUi: MasterWebUI = null
private val masterPublicAddress = {
val envVar = conf.getenv("SPARK_PUBLIC_DNS")
if (envVar != null) envVar else address.host
}
private val masterUrl = address.toSparkURL
private var masterWebUiUrl: String = _
private var state = RecoveryState.STANDBY
private var persistenceEngine: PersistenceEngine = _
private var leaderElectionAgent: LeaderElectionAgent = _
private var recoveryCompletionTask: ScheduledFuture[_] = _
private var checkForWorkerTimeOutTask: ScheduledFuture[_] = _
// As a temporary workaround before better ways of configuring memory, we allow users to set
// a flag that will perform round-robin scheduling across the nodes (spreading out each app
// among all the nodes) instead of trying to consolidate each app onto a small # of nodes.
private val spreadOutApps = conf.getBoolean("spark.deploy.spreadOut", true)
// Default maxCores for applications that don't specify it (i.e. pass Int.MaxValue)
private val defaultCores = conf.getInt("spark.deploy.defaultCores", Int.MaxValue)
val reverseProxy = conf.getBoolean("spark.ui.reverseProxy", false)
if (defaultCores < 1) {
throw new SparkException("spark.deploy.defaultCores must be positive")
}
// Alternative application submission gateway that is stable across Spark versions
private val restServerEnabled = conf.getBoolean("spark.master.rest.enabled", false)
private var restServer: Option[StandaloneRestServer] = None
private var restServerBoundPort: Option[Int] = None
{
val authKey = SecurityManager.SPARK_AUTH_SECRET_CONF
require(conf.getOption(authKey).isEmpty || !restServerEnabled,
s"The RestSubmissionServer does not support authentication via ${authKey}. Either turn " +
"off the RestSubmissionServer with spark.master.rest.enabled=false, or do not use " +
"authentication.")
}
override def onStart(): Unit = {
logInfo("Starting Spark master at " + masterUrl)
logInfo(s"Running Spark version ${org.apache.spark.SPARK_VERSION}")
webUi = new MasterWebUI(this, webUiPort)
webUi.bind()
masterWebUiUrl = "http://" + masterPublicAddress + ":" + webUi.boundPort
if (reverseProxy) {
masterWebUiUrl = conf.get("spark.ui.reverseProxyUrl", masterWebUiUrl)
webUi.addProxy()
logInfo(s"Spark Master is acting as a reverse proxy. Master, Workers and " +
s"Applications UIs are available at $masterWebUiUrl")
}
checkForWorkerTimeOutTask = forwardMessageThread.scheduleAtFixedRate(new Runnable {
override def run(): Unit = Utils.tryLogNonFatalError {
self.send(CheckForWorkerTimeOut)
}
}, 0, WORKER_TIMEOUT_MS, TimeUnit.MILLISECONDS)
if (restServerEnabled) {
val port = conf.getInt("spark.master.rest.port", 6066)
restServer = Some(new StandaloneRestServer(address.host, port, conf, self, masterUrl))
}
restServerBoundPort = restServer.map(_.start())
masterMetricsSystem.registerSource(masterSource)
masterMetricsSystem.start()
applicationMetricsSystem.start()
// Attach the master and app metrics servlet handler to the web ui after the metrics systems are
// started.
masterMetricsSystem.getServletHandlers.foreach(webUi.attachHandler)
applicationMetricsSystem.getServletHandlers.foreach(webUi.attachHandler)
val serializer = new JavaSerializer(conf)
val (persistenceEngine_, leaderElectionAgent_) = RECOVERY_MODE match {
case "ZOOKEEPER" =>
logInfo("Persisting recovery state to ZooKeeper")
val zkFactory =
new ZooKeeperRecoveryModeFactory(conf, serializer)
(zkFactory.createPersistenceEngine(), zkFactory.createLeaderElectionAgent(this))
case "FILESYSTEM" =>
val fsFactory =
new FileSystemRecoveryModeFactory(conf, serializer)
(fsFactory.createPersistenceEngine(), fsFactory.createLeaderElectionAgent(this))
case "CUSTOM" =>
val clazz = Utils.classForName(conf.get("spark.deploy.recoveryMode.factory"))
val factory = clazz.getConstructor(classOf[SparkConf], classOf[Serializer])
.newInstance(conf, serializer)
.asInstanceOf[StandaloneRecoveryModeFactory]
(factory.createPersistenceEngine(), factory.createLeaderElectionAgent(this))
case _ =>
(new BlackHolePersistenceEngine(), new MonarchyLeaderAgent(this))
}
persistenceEngine = persistenceEngine_
leaderElectionAgent = leaderElectionAgent_
}
override def onStop() {
masterMetricsSystem.report()
applicationMetricsSystem.report()
// prevent the CompleteRecovery message sending to restarted master
if (recoveryCompletionTask != null) {
recoveryCompletionTask.cancel(true)
}
if (checkForWorkerTimeOutTask != null) {
checkForWorkerTimeOutTask.cancel(true)
}
forwardMessageThread.shutdownNow()
webUi.stop()
restServer.foreach(_.stop())
masterMetricsSystem.stop()
applicationMetricsSystem.stop()
persistenceEngine.close()
leaderElectionAgent.stop()
}
override def electedLeader() {
self.send(ElectedLeader)
}
override def revokedLeadership() {
self.send(RevokedLeadership)
}
override def receive: PartialFunction[Any, Unit] = {
case ElectedLeader =>
val (storedApps, storedDrivers, storedWorkers) = persistenceEngine.readPersistedData(rpcEnv)
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 = forwardMessageThread.schedule(new Runnable {
override def run(): Unit = Utils.tryLogNonFatalError {
self.send(CompleteRecovery)
}
}, WORKER_TIMEOUT_MS, TimeUnit.MILLISECONDS)
}
case CompleteRecovery => completeRecovery()
case RevokedLeadership =>
logError("Leadership has been revoked -- master shutting down.")
System.exit(0)
case RegisterWorker(
id, workerHost, workerPort, workerRef, cores, memory, workerWebUiUrl, masterAddress) =>
logInfo("Registering worker %s:%d with %d cores, %s RAM".format(
workerHost, workerPort, cores, Utils.megabytesToString(memory)))
if (state == RecoveryState.STANDBY) {
workerRef.send(MasterInStandby)
} else if (idToWorker.contains(id)) {
workerRef.send(RegisterWorkerFailed("Duplicate worker ID"))
} else {
val worker = new WorkerInfo(id, workerHost, workerPort, cores, memory,
workerRef, workerWebUiUrl)
if (registerWorker(worker)) {
persistenceEngine.addWorker(worker)
workerRef.send(RegisteredWorker(self, masterWebUiUrl, masterAddress))
schedule()
} else {
val workerAddress = worker.endpoint.address
logWarning("Worker registration failed. Attempted to re-register worker at same " +
"address: " + workerAddress)
workerRef.send(RegisterWorkerFailed("Attempted to re-register worker at same address: "
+ workerAddress))
}
}
case RegisterApplication(description, driver) =>
// TODO Prevent repeated registrations from some driver
if (state == RecoveryState.STANDBY) {
// ignore, don't send response
} else {
logInfo("Registering app " + description.name)
val app = createApplication(description, driver)
registerApplication(app)
logInfo("Registered app " + description.name + " with ID " + app.id)
persistenceEngine.addApplication(app)
driver.send(RegisteredApplication(app.id, self))
schedule()
}
case ExecutorStateChanged(appId, execId, state, message, exitStatus) =>
val execOption = idToApp.get(appId).flatMap(app => app.executors.get(execId))
execOption match {
case Some(exec) =>
val appInfo = idToApp(appId)
val oldState = exec.state
exec.state = state
if (state == ExecutorState.RUNNING) {
assert(oldState == ExecutorState.LAUNCHING,
s"executor $execId state transfer from $oldState to RUNNING is illegal")
appInfo.resetRetryCount()
}
exec.application.driver.send(ExecutorUpdated(execId, state, message, exitStatus, false))
if (ExecutorState.isFinished(state)) {
// Remove this executor from the worker and app
logInfo(s"Removing executor ${exec.fullId} because it is $state")
// If an application has already finished, preserve its
// state to display its information properly on the UI
if (!appInfo.isFinished) {
appInfo.removeExecutor(exec)
}
exec.worker.removeExecutor(exec)
val normalExit = exitStatus == Some(0)
// Only retry certain number of times so we don't go into an infinite loop.
// Important note: this code path is not exercised by tests, so be very careful when
// changing this `if` condition.
if (!normalExit
&& appInfo.incrementRetryCount() >= MAX_EXECUTOR_RETRIES
&& MAX_EXECUTOR_RETRIES >= 0) { // < 0 disables this application-killing path
val execs = appInfo.executors.values
if (!execs.exists(_.state == ExecutorState.RUNNING)) {
logError(s"Application ${appInfo.desc.name} with ID ${appInfo.id} failed " +
s"${appInfo.retryCount} times; removing it")
removeApplication(appInfo, ApplicationState.FAILED)
}
}
}
schedule()
case None =>
logWarning(s"Got status update for unknown executor $appId/$execId")
}
case DriverStateChanged(driverId, state, exception) =>
state match {
case DriverState.ERROR | DriverState.FINISHED | DriverState.KILLED | DriverState.FAILED =>
removeDriver(driverId, state, exception)
case _ =>
throw new Exception(s"Received unexpected state update for driver $driverId: $state")
}
case Heartbeat(workerId, worker) =>
idToWorker.get(workerId) match {
case Some(workerInfo) =>
workerInfo.lastHeartbeat = System.currentTimeMillis()
case None =>
if (workers.map(_.id).contains(workerId)) {
logWarning(s"Got heartbeat from unregistered worker $workerId." +
" Asking it to re-register.")
worker.send(ReconnectWorker(masterUrl))
} else {
logWarning(s"Got heartbeat from unregistered worker $workerId." +
" This worker was never registered, so ignoring the heartbeat.")
}
}
case MasterChangeAcknowledged(appId) =>
idToApp.get(appId) match {
case Some(app) =>
logInfo("Application has been re-registered: " + appId)
app.state = ApplicationState.WAITING
case None =>
logWarning("Master change ack from unknown app: " + appId)
}
if (canCompleteRecovery) { completeRecovery() }
case WorkerSchedulerStateResponse(workerId, executors, driverIds) =>
idToWorker.get(workerId) match {
case Some(worker) =>
logInfo("Worker has been re-registered: " + workerId)
worker.state = WorkerState.ALIVE
val validExecutors = executors.filter(exec => idToApp.get(exec.appId).isDefined)
for (exec <- validExecutors) {
val app = idToApp.get(exec.appId).get
val execInfo = app.addExecutor(worker, exec.cores, Some(exec.execId))
worker.addExecutor(execInfo)
execInfo.copyState(exec)
}
for (driverId <- driverIds) {
drivers.find(_.id == driverId).foreach { driver =>
driver.worker = Some(worker)
driver.state = DriverState.RUNNING
worker.addDriver(driver)
}
}
case None =>
logWarning("Scheduler state from unknown worker: " + workerId)
}
if (canCompleteRecovery) { completeRecovery() }
case WorkerLatestState(workerId, executors, driverIds) =>
idToWorker.get(workerId) match {
case Some(worker) =>
for (exec <- executors) {
val executorMatches = worker.executors.exists {
case (_, e) => e.application.id == exec.appId && e.id == exec.execId
}
if (!executorMatches) {
// master doesn't recognize this executor. So just tell worker to kill it.
worker.endpoint.send(KillExecutor(masterUrl, exec.appId, exec.execId))
}
}
for (driverId <- driverIds) {
val driverMatches = worker.drivers.exists { case (id, _) => id == driverId }
if (!driverMatches) {
// master doesn't recognize this driver. So just tell worker to kill it.
worker.endpoint.send(KillDriver(driverId))
}
}
case None =>
logWarning("Worker state from unknown worker: " + workerId)
}
case UnregisterApplication(applicationId) =>
logInfo(s"Received unregister request from application $applicationId")
idToApp.get(applicationId).foreach(finishApplication)
case CheckForWorkerTimeOut =>
timeOutDeadWorkers()
}
override def receiveAndReply(context: RpcCallContext): PartialFunction[Any, Unit] = {
case RequestSubmitDriver(description) =>
if (state != RecoveryState.ALIVE) {
val msg = s"${Utils.BACKUP_STANDALONE_MASTER_PREFIX}: $state. " +
"Can only accept driver submissions in ALIVE state."
context.reply(SubmitDriverResponse(self, false, None, msg))
} else {
logInfo("Driver submitted " + description.command.mainClass)
val driver = createDriver(description)
persistenceEngine.addDriver(driver)
waitingDrivers += driver
drivers.add(driver)
schedule()
// TODO: It might be good to instead have the submission client poll the master to determine
// the current status of the driver. For now it's simply "fire and forget".
context.reply(SubmitDriverResponse(self, true, Some(driver.id),
s"Driver successfully submitted as ${driver.id}"))
}
case RequestKillDriver(driverId) =>
if (state != RecoveryState.ALIVE) {
val msg = s"${Utils.BACKUP_STANDALONE_MASTER_PREFIX}: $state. " +
s"Can only kill drivers in ALIVE state."
context.reply(KillDriverResponse(self, driverId, success = false, msg))
} else {
logInfo("Asked to kill driver " + driverId)
val driver = drivers.find(_.id == driverId)
driver match {
case Some(d) =>
if (waitingDrivers.contains(d)) {
waitingDrivers -= d
self.send(DriverStateChanged(driverId, DriverState.KILLED, None))
} else {
// We just notify the worker to kill the driver here. The final bookkeeping occurs
// on the return path when the worker submits a state change back to the master
// to notify it that the driver was successfully killed.
d.worker.foreach { w =>
w.endpoint.send(KillDriver(driverId))
}
}
// TODO: It would be nice for this to be a synchronous response
val msg = s"Kill request for $driverId submitted"
logInfo(msg)
context.reply(KillDriverResponse(self, driverId, success = true, msg))
case None =>
val msg = s"Driver $driverId has already finished or does not exist"
logWarning(msg)
context.reply(KillDriverResponse(self, driverId, success = false, msg))
}
}
case RequestDriverStatus(driverId) =>
if (state != RecoveryState.ALIVE) {
val msg = s"${Utils.BACKUP_STANDALONE_MASTER_PREFIX}: $state. " +
"Can only request driver status in ALIVE state."
context.reply(
DriverStatusResponse(found = false, None, None, None, Some(new Exception(msg))))
} else {
(drivers ++ completedDrivers).find(_.id == driverId) match {
case Some(driver) =>
context.reply(DriverStatusResponse(found = true, Some(driver.state),
driver.worker.map(_.id), driver.worker.map(_.hostPort), driver.exception))
case None =>
context.reply(DriverStatusResponse(found = false, None, None, None, None))
}
}
case RequestMasterState =>
context.reply(MasterStateResponse(
address.host, address.port, restServerBoundPort,
workers.toArray, apps.toArray, completedApps.toArray,
drivers.toArray, completedDrivers.toArray, state))
case BoundPortsRequest =>
context.reply(BoundPortsResponse(address.port, webUi.boundPort, restServerBoundPort))
case RequestExecutors(appId, requestedTotal) =>
context.reply(handleRequestExecutors(appId, requestedTotal))
case KillExecutors(appId, executorIds) =>
val formattedExecutorIds = formatExecutorIds(executorIds)
context.reply(handleKillExecutors(appId, formattedExecutorIds))
}
override def onDisconnected(address: RpcAddress): Unit = {
// The disconnected client could've been either a worker or an app; remove whichever it was
logInfo(s"$address got disassociated, removing it.")
addressToWorker.get(address).foreach(removeWorker(_, s"${address} got disassociated"))
addressToApp.get(address).foreach(finishApplication)
if (state == RecoveryState.RECOVERING && canCompleteRecovery) { completeRecovery() }
}
private def canCompleteRecovery =
workers.count(_.state == WorkerState.UNKNOWN) == 0 &&
apps.count(_.state == ApplicationState.UNKNOWN) == 0
private 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.send(MasterChanged(self, 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.endpoint.send(MasterChanged(self, masterWebUiUrl))
} catch {
case e: Exception => logInfo("Worker " + worker.id + " had exception on reconnect")
}
}
}
private def completeRecovery() {
// Ensure "only-once" recovery semantics using a short synchronization period.
if (state != RecoveryState.RECOVERING) { return }
state = RecoveryState.COMPLETING_RECOVERY
// Kill off any workers and apps that didn't respond to us.
workers.filter(_.state == WorkerState.UNKNOWN).foreach(
removeWorker(_, "Not responding for recovery"))
apps.filter(_.state == ApplicationState.UNKNOWN).foreach(finishApplication)
// Update the state of recovered apps to RUNNING
apps.filter(_.state == ApplicationState.WAITING).foreach(_.state = ApplicationState.RUNNING)
// Reschedule drivers which were not claimed by any workers
drivers.filter(_.worker.isEmpty).foreach { d =>
logWarning(s"Driver ${d.id} was not found after master recovery")
if (d.desc.supervise) {
logWarning(s"Re-launching ${d.id}")
relaunchDriver(d)
} else {
removeDriver(d.id, DriverState.ERROR, None)
logWarning(s"Did not re-launch ${d.id} because it was not supervised")
}
}
state = RecoveryState.ALIVE
schedule()
logInfo("Recovery complete - resuming operations!")
}
/**
* Schedule executors to be launched on the workers.
* Returns an array containing number of cores assigned to each worker.
*
* There are two modes of launching executors. The first attempts to spread out an application's
* executors on as many workers as possible, while the second does the opposite (i.e. launch them
* on as few workers as possible). The former is usually better for data locality purposes and is
* the default.
*
* The number of cores assigned to each executor is configurable. When this is explicitly set,
* multiple executors from the same application may be launched on the same worker if the worker
* has enough cores and memory. Otherwise, each executor grabs all the cores available on the
* worker by default, in which case only one executor per application may be launched on each
* worker during one single schedule iteration.
* Note that when `spark.executor.cores` is not set, we may still launch multiple executors from
* the same application on the same worker. Consider appA and appB both have one executor running
* on worker1, and appA.coresLeft > 0, then appB is finished and release all its cores on worker1,
* thus for the next schedule iteration, appA launches a new executor that grabs all the free
* cores on worker1, therefore we get multiple executors from appA running on worker1.
*
* It is important to allocate coresPerExecutor on each worker at a time (instead of 1 core
* at a time). Consider the following example: cluster has 4 workers with 16 cores each.
* User requests 3 executors (spark.cores.max = 48, spark.executor.cores = 16). If 1 core is
* allocated at a time, 12 cores from each worker would be assigned to each executor.
* Since 12 < 16, no executors would launch [SPARK-8881].
*/
private def scheduleExecutorsOnWorkers(
app: ApplicationInfo,
usableWorkers: Array[WorkerInfo],
spreadOutApps: Boolean): Array[Int] = {
val coresPerExecutor = app.desc.coresPerExecutor
val minCoresPerExecutor = coresPerExecutor.getOrElse(1)
val oneExecutorPerWorker = coresPerExecutor.isEmpty
val memoryPerExecutor = app.desc.memoryPerExecutorMB
val numUsable = usableWorkers.length
val assignedCores = new Array[Int](numUsable) // Number of cores to give to each worker
val assignedExecutors = new Array[Int](numUsable) // Number of new executors on each worker
var coresToAssign = math.min(app.coresLeft, usableWorkers.map(_.coresFree).sum)
/** Return whether the specified worker can launch an executor for this app. */
def canLaunchExecutor(pos: Int): Boolean = {
val keepScheduling = coresToAssign >= minCoresPerExecutor
val enoughCores = usableWorkers(pos).coresFree - assignedCores(pos) >= minCoresPerExecutor
// If we allow multiple executors per worker, then we can always launch new executors.
// Otherwise, if there is already an executor on this worker, just give it more cores.
val launchingNewExecutor = !oneExecutorPerWorker || assignedExecutors(pos) == 0
if (launchingNewExecutor) {
val assignedMemory = assignedExecutors(pos) * memoryPerExecutor
val enoughMemory = usableWorkers(pos).memoryFree - assignedMemory >= memoryPerExecutor
val underLimit = assignedExecutors.sum + app.executors.size < app.executorLimit
keepScheduling && enoughCores && enoughMemory && underLimit
} else {
// We're adding cores to an existing executor, so no need
// to check memory and executor limits
keepScheduling && enoughCores
}
}
// Keep launching executors until no more workers can accommodate any
// more executors, or if we have reached this application's limits
var freeWorkers = (0 until numUsable).filter(canLaunchExecutor)
while (freeWorkers.nonEmpty) {
freeWorkers.foreach { pos =>
var keepScheduling = true
while (keepScheduling && canLaunchExecutor(pos)) {
coresToAssign -= minCoresPerExecutor
assignedCores(pos) += minCoresPerExecutor
// If we are launching one executor per worker, then every iteration assigns 1 core
// to the executor. Otherwise, every iteration assigns cores to a new executor.
if (oneExecutorPerWorker) {
assignedExecutors(pos) = 1
} else {
assignedExecutors(pos) += 1
}
// Spreading out an application means spreading out its executors across as
// many workers as possible. If we are not spreading out, then we should keep
// scheduling executors on this worker until we use all of its resources.
// Otherwise, just move on to the next worker.
if (spreadOutApps) {
keepScheduling = false
}
}
}
freeWorkers = freeWorkers.filter(canLaunchExecutor)
}
assignedCores
}
/**
* Schedule and launch executors on workers
*/
private def startExecutorsOnWorkers(): Unit = {
// Right now this is a very simple FIFO scheduler. We keep trying to fit in the first app
// in the queue, then the second app, etc.
for (app <- waitingApps) {
val coresPerExecutor = app.desc.coresPerExecutor.getOrElse(1)
// If the cores left is less than the coresPerExecutor,the cores left will not be allocated
if (app.coresLeft >= coresPerExecutor) {
// Filter out workers that don't have enough resources to launch an executor
val usableWorkers = workers.toArray.filter(_.state == WorkerState.ALIVE)
.filter(worker => worker.memoryFree >= app.desc.memoryPerExecutorMB &&
worker.coresFree >= coresPerExecutor)
.sortBy(_.coresFree).reverse
val assignedCores = scheduleExecutorsOnWorkers(app, usableWorkers, spreadOutApps)
// Now that we've decided how many cores to allocate on each worker, let's allocate them
for (pos <- 0 until usableWorkers.length if assignedCores(pos) > 0) {
allocateWorkerResourceToExecutors(
app, assignedCores(pos), app.desc.coresPerExecutor, usableWorkers(pos))
}
}
}
}
/**
* Allocate a worker's resources to one or more executors.
* @param app the info of the application which the executors belong to
* @param assignedCores number of cores on this worker for this application
* @param coresPerExecutor number of cores per executor
* @param worker the worker info
*/
private def allocateWorkerResourceToExecutors(
app: ApplicationInfo,
assignedCores: Int,
coresPerExecutor: Option[Int],
worker: WorkerInfo): Unit = {
// If the number of cores per executor is specified, we divide the cores assigned
// to this worker evenly among the executors with no remainder.
// Otherwise, we launch a single executor that grabs all the assignedCores on this worker.
val numExecutors = coresPerExecutor.map { assignedCores / _ }.getOrElse(1)
val coresToAssign = coresPerExecutor.getOrElse(assignedCores)
for (i <- 1 to numExecutors) {
val exec = app.addExecutor(worker, coresToAssign)
launchExecutor(worker, exec)
app.state = ApplicationState.RUNNING
}
}
/**
* Schedule the currently available resources among waiting apps. This method will be called
* every time a new app joins or resource availability changes.
*/
private def schedule(): Unit = {
if (state != RecoveryState.ALIVE) {
return
}
// Drivers take strict precedence over executors
val shuffledAliveWorkers = Random.shuffle(workers.toSeq.filter(_.state == WorkerState.ALIVE))
val numWorkersAlive = shuffledAliveWorkers.size
var curPos = 0
for (driver <- waitingDrivers.toList) { // iterate over a copy of waitingDrivers
// We assign workers to each waiting driver in a round-robin fashion. For each driver, we
// start from the last worker that was assigned a driver, and continue onwards until we have
// explored all alive workers.
var launched = false
var numWorkersVisited = 0
while (numWorkersVisited < numWorkersAlive && !launched) {
val worker = shuffledAliveWorkers(curPos)
numWorkersVisited += 1
if (worker.memoryFree >= driver.desc.mem && worker.coresFree >= driver.desc.cores) {
launchDriver(worker, driver)
waitingDrivers -= driver
launched = true
}
curPos = (curPos + 1) % numWorkersAlive
}
}
startExecutorsOnWorkers()
}
private def launchExecutor(worker: WorkerInfo, exec: ExecutorDesc): Unit = {
logInfo("Launching executor " + exec.fullId + " on worker " + worker.id)
worker.addExecutor(exec)
worker.endpoint.send(LaunchExecutor(masterUrl,
exec.application.id, exec.id, exec.application.desc, exec.cores, exec.memory))
exec.application.driver.send(
ExecutorAdded(exec.id, worker.id, worker.hostPort, exec.cores, exec.memory))
}
private def registerWorker(worker: WorkerInfo): Boolean = {
// There may be one or more refs to dead workers on this same node (w/ different ID's),
// remove them.
workers.filter { w =>
(w.host == worker.host && w.port == worker.port) && (w.state == WorkerState.DEAD)
}.foreach { w =>
workers -= w
}
val workerAddress = worker.endpoint.address
if (addressToWorker.contains(workerAddress)) {
val oldWorker = addressToWorker(workerAddress)
if (oldWorker.state == WorkerState.UNKNOWN) {
// A worker registering from UNKNOWN implies that the worker was restarted during recovery.
// The old worker must thus be dead, so we will remove it and accept the new worker.
removeWorker(oldWorker, "Worker replaced by a new worker with same address")
} else {
logInfo("Attempted to re-register worker at same address: " + workerAddress)
return false
}
}
workers += worker
idToWorker(worker.id) = worker
addressToWorker(workerAddress) = worker
true
}
private def removeWorker(worker: WorkerInfo, msg: String) {
logInfo("Removing worker " + worker.id + " on " + worker.host + ":" + worker.port)
worker.setState(WorkerState.DEAD)
idToWorker -= worker.id
addressToWorker -= worker.endpoint.address
for (exec <- worker.executors.values) {
logInfo("Telling app of lost executor: " + exec.id)
exec.application.driver.send(ExecutorUpdated(
exec.id, ExecutorState.LOST, Some("worker lost"), None, workerLost = true))
exec.state = ExecutorState.LOST
exec.application.removeExecutor(exec)
}
for (driver <- worker.drivers.values) {
if (driver.desc.supervise) {
logInfo(s"Re-launching ${driver.id}")
relaunchDriver(driver)
} else {
logInfo(s"Not re-launching ${driver.id} because it was not supervised")
removeDriver(driver.id, DriverState.ERROR, None)
}
}
logInfo(s"Telling app of lost worker: " + worker.id)
apps.filterNot(completedApps.contains(_)).foreach { app =>
app.driver.send(WorkerRemoved(worker.id, worker.host, msg))
}
persistenceEngine.removeWorker(worker)
}
private def relaunchDriver(driver: DriverInfo) {
// We must setup a new driver with a new driver id here, because the original driver may
// be still running. Consider this scenario: a worker is network partitioned with master,
// the master then relaunches driver driverID1 with a driver id driverID2, then the worker
// reconnects to master. From this point on, if driverID2 is equal to driverID1, then master
// can not distinguish the statusUpdate of the original driver and the newly relaunched one,
// for example, when DriverStateChanged(driverID1, KILLED) arrives at master, master will
// remove driverID1, so the newly relaunched driver disappears too. See SPARK-19900 for details.
removeDriver(driver.id, DriverState.RELAUNCHING, None)
val newDriver = createDriver(driver.desc)
persistenceEngine.addDriver(newDriver)
drivers.add(newDriver)
waitingDrivers += newDriver
schedule()
}
private def createApplication(desc: ApplicationDescription, driver: RpcEndpointRef):
ApplicationInfo = {
val now = System.currentTimeMillis()
val date = new Date(now)
val appId = newApplicationId(date)
new ApplicationInfo(now, appId, desc, date, driver, defaultCores)
}
private def registerApplication(app: ApplicationInfo): Unit = {
val appAddress = app.driver.address
if (addressToApp.contains(appAddress)) {
logInfo("Attempted to re-register application at same address: " + appAddress)
return
}
applicationMetricsSystem.registerSource(app.appSource)
apps += app
idToApp(app.id) = app
endpointToApp(app.driver) = app
addressToApp(appAddress) = app
waitingApps += app
}
private def finishApplication(app: ApplicationInfo) {
removeApplication(app, ApplicationState.FINISHED)
}
def removeApplication(app: ApplicationInfo, state: ApplicationState.Value) {
if (apps.contains(app)) {
logInfo("Removing app " + app.id)
apps -= app
idToApp -= app.id
endpointToApp -= app.driver
addressToApp -= app.driver.address
if (completedApps.size >= RETAINED_APPLICATIONS) {
val toRemove = math.max(RETAINED_APPLICATIONS / 10, 1)
completedApps.take(toRemove).foreach { a =>
applicationMetricsSystem.removeSource(a.appSource)
}
completedApps.trimStart(toRemove)
}
completedApps += app // Remember it in our history
waitingApps -= app
for (exec <- app.executors.values) {
killExecutor(exec)
}
app.markFinished(state)
if (state != ApplicationState.FINISHED) {
app.driver.send(ApplicationRemoved(state.toString))
}
persistenceEngine.removeApplication(app)
schedule()
// Tell all workers that the application has finished, so they can clean up any app state.
workers.foreach { w =>
w.endpoint.send(ApplicationFinished(app.id))
}
}
}
/**
* Handle a request to set the target number of executors for this application.
*
* If the executor limit is adjusted upwards, new executors will be launched provided
* that there are workers with sufficient resources. If it is adjusted downwards, however,
* we do not kill existing executors until we explicitly receive a kill request.
*
* @return whether the application has previously registered with this Master.
*/
private def handleRequestExecutors(appId: String, requestedTotal: Int): Boolean = {
idToApp.get(appId) match {
case Some(appInfo) =>
logInfo(s"Application $appId requested to set total executors to $requestedTotal.")
appInfo.executorLimit = requestedTotal
schedule()
true
case None =>
logWarning(s"Unknown application $appId requested $requestedTotal total executors.")
false
}
}
/**
* Handle a kill request from the given application.
*
* This method assumes the executor limit has already been adjusted downwards through
* a separate [[RequestExecutors]] message, such that we do not launch new executors
* immediately after the old ones are removed.
*
* @return whether the application has previously registered with this Master.
*/
private def handleKillExecutors(appId: String, executorIds: Seq[Int]): Boolean = {
idToApp.get(appId) match {
case Some(appInfo) =>
logInfo(s"Application $appId requests to kill executors: " + executorIds.mkString(", "))
val (known, unknown) = executorIds.partition(appInfo.executors.contains)
known.foreach { executorId =>
val desc = appInfo.executors(executorId)
appInfo.removeExecutor(desc)
killExecutor(desc)
}
if (unknown.nonEmpty) {
logWarning(s"Application $appId attempted to kill non-existent executors: "
+ unknown.mkString(", "))
}
schedule()
true
case None =>
logWarning(s"Unregistered application $appId requested us to kill executors!")
false
}
}
/**
* Cast the given executor IDs to integers and filter out the ones that fail.
*
* All executors IDs should be integers since we launched these executors. However,
* the kill interface on the driver side accepts arbitrary strings, so we need to
* handle non-integer executor IDs just to be safe.
*/
private def formatExecutorIds(executorIds: Seq[String]): Seq[Int] = {
executorIds.flatMap { executorId =>
try {
Some(executorId.toInt)
} catch {
case e: NumberFormatException =>
logError(s"Encountered executor with a non-integer ID: $executorId. Ignoring")
None
}
}
}
/**
* Ask the worker on which the specified executor is launched to kill the executor.
*/
private def killExecutor(exec: ExecutorDesc): Unit = {
exec.worker.removeExecutor(exec)
exec.worker.endpoint.send(KillExecutor(masterUrl, exec.application.id, exec.id))
exec.state = ExecutorState.KILLED
}
/** Generate a new app ID given an app's submission date */
private def newApplicationId(submitDate: Date): String = {
val appId = "app-%s-%04d".format(createDateFormat.format(submitDate), nextAppNumber)
nextAppNumber += 1
appId
}
/** Check for, and remove, any timed-out workers */
private def timeOutDeadWorkers() {
// Copy the workers into an array so we don't modify the hashset while iterating through it
val currentTime = System.currentTimeMillis()
val toRemove = workers.filter(_.lastHeartbeat < currentTime - WORKER_TIMEOUT_MS).toArray
for (worker <- toRemove) {
if (worker.state != WorkerState.DEAD) {
logWarning("Removing %s because we got no heartbeat in %d seconds".format(
worker.id, WORKER_TIMEOUT_MS / 1000))
removeWorker(worker, s"Not receiving heartbeat for ${WORKER_TIMEOUT_MS / 1000} seconds")
} else {
if (worker.lastHeartbeat < currentTime - ((REAPER_ITERATIONS + 1) * WORKER_TIMEOUT_MS)) {
workers -= worker // we've seen this DEAD worker in the UI, etc. for long enough; cull it
}
}
}
}
private def newDriverId(submitDate: Date): String = {
val appId = "driver-%s-%04d".format(createDateFormat.format(submitDate), nextDriverNumber)
nextDriverNumber += 1
appId
}
private def createDriver(desc: DriverDescription): DriverInfo = {
val now = System.currentTimeMillis()
val date = new Date(now)
new DriverInfo(now, newDriverId(date), desc, date)
}
private def launchDriver(worker: WorkerInfo, driver: DriverInfo) {
logInfo("Launching driver " + driver.id + " on worker " + worker.id)
worker.addDriver(driver)
driver.worker = Some(worker)
worker.endpoint.send(LaunchDriver(driver.id, driver.desc))
driver.state = DriverState.RUNNING
}
private def removeDriver(
driverId: String,
finalState: DriverState,
exception: Option[Exception]) {
drivers.find(d => d.id == driverId) match {
case Some(driver) =>
logInfo(s"Removing driver: $driverId")
drivers -= driver
if (completedDrivers.size >= RETAINED_DRIVERS) {
val toRemove = math.max(RETAINED_DRIVERS / 10, 1)
completedDrivers.trimStart(toRemove)
}
completedDrivers += driver
persistenceEngine.removeDriver(driver)
driver.state = finalState
driver.exception = exception
driver.worker.foreach(w => w.removeDriver(driver))
schedule()
case None =>
logWarning(s"Asked to remove unknown driver: $driverId")
}
}
}
private[deploy] object Master extends Logging {
val SYSTEM_NAME = "sparkMaster"
val ENDPOINT_NAME = "Master"
def main(argStrings: Array[String]) {
Thread.setDefaultUncaughtExceptionHandler(new SparkUncaughtExceptionHandler(
exitOnUncaughtException = false))
Utils.initDaemon(log)
val conf = new SparkConf
val args = new MasterArguments(argStrings, conf)
val (rpcEnv, _, _) = startRpcEnvAndEndpoint(args.host, args.port, args.webUiPort, conf)
rpcEnv.awaitTermination()
}
/**
* Start the Master and return a three tuple of:
* (1) The Master RpcEnv
* (2) The web UI bound port
* (3) The REST server bound port, if any
*/
def startRpcEnvAndEndpoint(
host: String,
port: Int,
webUiPort: Int,
conf: SparkConf): (RpcEnv, Int, Option[Int]) = {
val securityMgr = new SecurityManager(conf)
val rpcEnv = RpcEnv.create(SYSTEM_NAME, host, port, conf, securityMgr)
val masterEndpoint = rpcEnv.setupEndpoint(ENDPOINT_NAME,
new Master(rpcEnv, rpcEnv.address, webUiPort, securityMgr, conf))
val portsResponse = masterEndpoint.askSync[BoundPortsResponse](BoundPortsRequest)
(rpcEnv, portsResponse.webUIPort, portsResponse.restPort)
}
}
