Updated Branches: refs/heads/branch-0.8 0fcb2348a -> 616ea6f32
http://git-wip-us.apache.org/repos/asf/incubator-spark/blob/d66c01f2/core/src/main/scala/org/apache/spark/deploy/master/ZooKeeperPersistenceEngine.scala ---------------------------------------------------------------------- diff --git a/core/src/main/scala/org/apache/spark/deploy/master/ZooKeeperPersistenceEngine.scala b/core/src/main/scala/org/apache/spark/deploy/master/ZooKeeperPersistenceEngine.scala new file mode 100644 index 0000000..a0233a7 --- /dev/null +++ b/core/src/main/scala/org/apache/spark/deploy/master/ZooKeeperPersistenceEngine.scala @@ -0,0 +1,85 @@ +/* + * 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 org.apache.spark.Logging +import org.apache.zookeeper._ + +import akka.serialization.Serialization + +class ZooKeeperPersistenceEngine(serialization: Serialization) + extends PersistenceEngine + with SparkZooKeeperWatcher + with Logging +{ + val WORKING_DIR = System.getProperty("spark.deploy.zookeeper.dir", "/spark") + "/master_status" + + val zk = new SparkZooKeeperSession(this) + + zk.connect() + + override def zkSessionCreated() { + zk.mkdirRecursive(WORKING_DIR) + } + + override def zkDown() { + logError("PersistenceEngine disconnected from ZooKeeper -- ZK looks down.") + } + + override def addApplication(app: ApplicationInfo) { + serializeIntoFile(WORKING_DIR + "/app_" + app.id, app) + } + + override def removeApplication(app: ApplicationInfo) { + zk.delete(WORKING_DIR + "/app_" + app.id) + } + + override def addWorker(worker: WorkerInfo) { + serializeIntoFile(WORKING_DIR + "/worker_" + worker.id, worker) + } + + override def removeWorker(worker: WorkerInfo) { + zk.delete(WORKING_DIR + "/worker_" + worker.id) + } + + override def close() { + zk.close() + } + + override def readPersistedData(): (Seq[ApplicationInfo], Seq[WorkerInfo]) = { + val sortedFiles = zk.getChildren(WORKING_DIR).toList.sorted + val appFiles = sortedFiles.filter(_.startsWith("app_")) + val apps = appFiles.map(deserializeFromFile[ApplicationInfo]) + val workerFiles = sortedFiles.filter(_.startsWith("worker_")) + val workers = workerFiles.map(deserializeFromFile[WorkerInfo]) + (apps, workers) + } + + private def serializeIntoFile(path: String, value: Serializable) { + val serializer = serialization.findSerializerFor(value) + val serialized = serializer.toBinary(value) + zk.create(path, serialized, CreateMode.PERSISTENT) + } + + def deserializeFromFile[T <: Serializable](filename: String)(implicit m: Manifest[T]): T = { + val fileData = zk.getData("/spark/master_status/" + filename) + val clazz = m.erasure.asInstanceOf[Class[T]] + val serializer = serialization.serializerFor(clazz) + serializer.fromBinary(fileData).asInstanceOf[T] + } +} http://git-wip-us.apache.org/repos/asf/incubator-spark/blob/d66c01f2/core/src/main/scala/org/apache/spark/deploy/worker/ExecutorRunner.scala ---------------------------------------------------------------------- diff --git a/core/src/main/scala/org/apache/spark/deploy/worker/ExecutorRunner.scala b/core/src/main/scala/org/apache/spark/deploy/worker/ExecutorRunner.scala index e3dc30e..8fabc95 100644 --- a/core/src/main/scala/org/apache/spark/deploy/worker/ExecutorRunner.scala +++ b/core/src/main/scala/org/apache/spark/deploy/worker/ExecutorRunner.scala @@ -43,7 +43,8 @@ private[spark] class ExecutorRunner( val workerId: String, val host: String, val sparkHome: File, - val workDir: File) + val workDir: File, + var state: ExecutorState.Value) extends Logging { val fullId = appId + "/" + execId @@ -83,7 +84,8 @@ private[spark] class ExecutorRunner( process.destroy() process.waitFor() } - worker ! ExecutorStateChanged(appId, execId, ExecutorState.KILLED, None, None) + state = ExecutorState.KILLED + worker ! ExecutorStateChanged(appId, execId, state, None, None) Runtime.getRuntime.removeShutdownHook(shutdownHook) } } @@ -180,9 +182,9 @@ private[spark] class ExecutorRunner( // long-lived processes only. However, in the future, we might restart the executor a few // times on the same machine. val exitCode = process.waitFor() + state = ExecutorState.FAILED val message = "Command exited with code " + exitCode - worker ! ExecutorStateChanged(appId, execId, ExecutorState.FAILED, Some(message), - Some(exitCode)) + worker ! ExecutorStateChanged(appId, execId, state, Some(message), Some(exitCode)) } catch { case interrupted: InterruptedException => logInfo("Runner thread for executor " + fullId + " interrupted") @@ -192,8 +194,9 @@ private[spark] class ExecutorRunner( if (process != null) { process.destroy() } + state = ExecutorState.FAILED val message = e.getClass + ": " + e.getMessage - worker ! ExecutorStateChanged(appId, execId, ExecutorState.FAILED, Some(message), None) + worker ! ExecutorStateChanged(appId, execId, state, Some(message), None) } } } http://git-wip-us.apache.org/repos/asf/incubator-spark/blob/d66c01f2/core/src/main/scala/org/apache/spark/deploy/worker/Worker.scala ---------------------------------------------------------------------- diff --git a/core/src/main/scala/org/apache/spark/deploy/worker/Worker.scala b/core/src/main/scala/org/apache/spark/deploy/worker/Worker.scala index 09530be..216d9d4 100644 --- a/core/src/main/scala/org/apache/spark/deploy/worker/Worker.scala +++ b/core/src/main/scala/org/apache/spark/deploy/worker/Worker.scala @@ -23,26 +23,28 @@ import java.io.File import scala.collection.mutable.HashMap -import akka.actor.{ActorRef, Props, Actor, ActorSystem, Terminated} +import akka.actor._ import akka.remote.{RemoteClientLifeCycleEvent, RemoteClientShutdown, RemoteClientDisconnected} import akka.util.duration._ -import org.apache.spark.{Logging} -import org.apache.spark.deploy.ExecutorState +import org.apache.spark.Logging +import org.apache.spark.deploy.{ExecutorDescription, ExecutorState} import org.apache.spark.deploy.DeployMessages._ import org.apache.spark.deploy.master.Master import org.apache.spark.deploy.worker.ui.WorkerWebUI import org.apache.spark.metrics.MetricsSystem import org.apache.spark.util.{Utils, AkkaUtils} - +/** + * @param masterUrls Each url should look like spark://host:port. + */ private[spark] class Worker( host: String, port: Int, webUiPort: Int, cores: Int, memory: Int, - masterUrl: String, + masterUrls: Array[String], workDirPath: String = null) extends Actor with Logging { @@ -54,8 +56,18 @@ private[spark] class Worker( // Send a heartbeat every (heartbeat timeout) / 4 milliseconds val HEARTBEAT_MILLIS = System.getProperty("spark.worker.timeout", "60").toLong * 1000 / 4 + val REGISTRATION_TIMEOUT = 20.seconds + val REGISTRATION_RETRIES = 3 + + // Index into masterUrls that we're currently trying to register with. + var masterIndex = 0 + + val masterLock: Object = new Object() var master: ActorRef = null - var masterWebUiUrl : String = "" + var activeMasterUrl: String = "" + var activeMasterWebUiUrl : String = "" + @volatile var registered = false + @volatile var connected = false val workerId = generateWorkerId() var sparkHome: File = null var workDir: File = null @@ -95,6 +107,7 @@ private[spark] class Worker( } override def preStart() { + assert(!registered) logInfo("Starting Spark worker %s:%d with %d cores, %s RAM".format( host, port, cores, Utils.megabytesToString(memory))) sparkHome = new File(Option(System.getenv("SPARK_HOME")).getOrElse(".")) @@ -103,44 +116,98 @@ private[spark] class Worker( webUi = new WorkerWebUI(this, workDir, Some(webUiPort)) webUi.start() - connectToMaster() + registerWithMaster() 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 + def changeMaster(url: String, uiUrl: String) { + masterLock.synchronized { + activeMasterUrl = url + activeMasterWebUiUrl = uiUrl + master = context.actorFor(Master.toAkkaUrl(activeMasterUrl)) + context.system.eventStream.subscribe(self, classOf[RemoteClientLifeCycleEvent]) + context.watch(master) // Doesn't work with remote actors, but useful for testing + connected = true + } + } + + def tryRegisterAllMasters() { + for (masterUrl <- masterUrls) { + logInfo("Connecting to master " + masterUrl + "...") + val actor = context.actorFor(Master.toAkkaUrl(masterUrl)) + actor ! RegisterWorker(workerId, host, port, cores, memory, webUi.boundPort.get, + publicAddress) + } + } + + def registerWithMaster() { + tryRegisterAllMasters() + + var retries = 0 + lazy val retryTimer: Cancellable = + context.system.scheduler.schedule(REGISTRATION_TIMEOUT, REGISTRATION_TIMEOUT) { + retries += 1 + if (registered) { + retryTimer.cancel() + } else if (retries >= REGISTRATION_RETRIES) { + logError("All masters are unresponsive! Giving up.") + System.exit(1) + } else { + tryRegisterAllMasters() + } + } + retryTimer // start timer } 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 RegisteredWorker(masterUrl, masterWebUiUrl) => + logInfo("Successfully registered with master " + masterUrl) + registered = true + changeMaster(masterUrl, masterWebUiUrl) + context.system.scheduler.schedule(0 millis, HEARTBEAT_MILLIS millis, self, SendHeartbeat) + + case SendHeartbeat => + masterLock.synchronized { + if (connected) { master ! Heartbeat(workerId) } } + case MasterChanged(masterUrl, masterWebUiUrl) => + logInfo("Master has changed, new master is at " + masterUrl) + context.unwatch(master) + changeMaster(masterUrl, masterWebUiUrl) + + val execs = executors.values. + map(e => new ExecutorDescription(e.appId, e.execId, e.cores, e.state)) + sender ! WorkerSchedulerStateResponse(workerId, execs.toList) + 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, new File(execSparkHome_), workDir) - executors(appId + "/" + execId) = manager - manager.start() - coresUsed += cores_ - memoryUsed += memory_ - master ! ExecutorStateChanged(appId, execId, ExecutorState.RUNNING, None, None) + if (!registered) { + logError("Worker registration failed: " + message) + System.exit(1) + } + + case LaunchExecutor(masterUrl, appId, execId, appDesc, cores_, memory_, execSparkHome_) => + if (masterUrl != activeMasterUrl) { + logWarning("Invalid Master (" + masterUrl + ") attempted to launch executor.") + } else { + 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, new File(execSparkHome_), workDir, ExecutorState.RUNNING) + executors(appId + "/" + execId) = manager + manager.start() + coresUsed += cores_ + memoryUsed += memory_ + masterLock.synchronized { + master ! ExecutorStateChanged(appId, execId, manager.state, None, None) + } + } case ExecutorStateChanged(appId, execId, state, message, exitStatus) => - master ! ExecutorStateChanged(appId, execId, state, message, exitStatus) + masterLock.synchronized { + master ! ExecutorStateChanged(appId, execId, state, message, exitStatus) + } val fullId = appId + "/" + execId if (ExecutorState.isFinished(state)) { val executor = executors(fullId) @@ -153,32 +220,39 @@ private[spark] class Worker( 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 KillExecutor(masterUrl, appId, execId) => + if (masterUrl != activeMasterUrl) { + logWarning("Invalid Master (" + masterUrl + ") attempted to launch executor " + execId) + } else { + 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(_, _) => + case Terminated(actor_) if actor_ == master => + masterDisconnected() + + case RemoteClientDisconnected(transport, address) if address == master.path.address => + masterDisconnected() + + case RemoteClientShutdown(transport, address) if address == master.path.address => masterDisconnected() case RequestWorkerState => { sender ! WorkerStateResponse(host, port, workerId, executors.values.toList, - finishedExecutors.values.toList, masterUrl, cores, memory, - coresUsed, memoryUsed, masterWebUiUrl) + finishedExecutors.values.toList, activeMasterUrl, cores, memory, + coresUsed, memoryUsed, activeMasterWebUiUrl) } } 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) + logError("Connection to master failed! Waiting for master to reconnect...") + connected = false } def generateWorkerId(): String = { @@ -196,17 +270,18 @@ 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) + args.memory, args.masters, 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) = { + masterUrls: Array[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") + masterUrls, workDir)), name = "Worker") (actorSystem, boundPort) } http://git-wip-us.apache.org/repos/asf/incubator-spark/blob/d66c01f2/core/src/main/scala/org/apache/spark/deploy/worker/WorkerArguments.scala ---------------------------------------------------------------------- diff --git a/core/src/main/scala/org/apache/spark/deploy/worker/WorkerArguments.scala b/core/src/main/scala/org/apache/spark/deploy/worker/WorkerArguments.scala index 0ae89a8..3ed528e 100644 --- a/core/src/main/scala/org/apache/spark/deploy/worker/WorkerArguments.scala +++ b/core/src/main/scala/org/apache/spark/deploy/worker/WorkerArguments.scala @@ -29,7 +29,7 @@ private[spark] class WorkerArguments(args: Array[String]) { var webUiPort = 8081 var cores = inferDefaultCores() var memory = inferDefaultMemory() - var master: String = null + var masters: Array[String] = null var workDir: String = null // Check for settings in environment variables @@ -86,14 +86,14 @@ private[spark] class WorkerArguments(args: Array[String]) { printUsageAndExit(0) case value :: tail => - if (master != null) { // Two positional arguments were given + if (masters != null) { // Two positional arguments were given printUsageAndExit(1) } - master = value + masters = value.stripPrefix("spark://").split(",").map("spark://" + _) parse(tail) case Nil => - if (master == null) { // No positional argument was given + if (masters == null) { // No positional argument was given printUsageAndExit(1) } http://git-wip-us.apache.org/repos/asf/incubator-spark/blob/d66c01f2/core/src/main/scala/org/apache/spark/deploy/worker/ui/WorkerWebUI.scala ---------------------------------------------------------------------- diff --git a/core/src/main/scala/org/apache/spark/deploy/worker/ui/WorkerWebUI.scala b/core/src/main/scala/org/apache/spark/deploy/worker/ui/WorkerWebUI.scala index 95d6007..800f1ca 100644 --- a/core/src/main/scala/org/apache/spark/deploy/worker/ui/WorkerWebUI.scala +++ b/core/src/main/scala/org/apache/spark/deploy/worker/ui/WorkerWebUI.scala @@ -105,7 +105,7 @@ class WorkerWebUI(val worker: Worker, val workDir: File, requestedPort: Option[I val logText = <node>{Utils.offsetBytes(path, startByte, endByte)}</node> - val linkToMaster = <p><a href={worker.masterWebUiUrl}>Back to Master</a></p> + val linkToMaster = <p><a href={worker.activeMasterWebUiUrl}>Back to Master</a></p> val range = <span>Bytes {startByte.toString} - {endByte.toString} of {logLength}</span> http://git-wip-us.apache.org/repos/asf/incubator-spark/blob/d66c01f2/core/src/main/scala/org/apache/spark/scheduler/cluster/SparkDeploySchedulerBackend.scala ---------------------------------------------------------------------- diff --git a/core/src/main/scala/org/apache/spark/scheduler/cluster/SparkDeploySchedulerBackend.scala b/core/src/main/scala/org/apache/spark/scheduler/cluster/SparkDeploySchedulerBackend.scala index 9c49768..cb88159 100644 --- a/core/src/main/scala/org/apache/spark/scheduler/cluster/SparkDeploySchedulerBackend.scala +++ b/core/src/main/scala/org/apache/spark/scheduler/cluster/SparkDeploySchedulerBackend.scala @@ -26,7 +26,7 @@ import org.apache.spark.util.Utils private[spark] class SparkDeploySchedulerBackend( scheduler: ClusterScheduler, sc: SparkContext, - master: String, + masters: Array[String], appName: String) extends StandaloneSchedulerBackend(scheduler, sc.env.actorSystem) with ClientListener @@ -52,7 +52,7 @@ private[spark] class SparkDeploySchedulerBackend( val appDesc = new ApplicationDescription(appName, maxCores, executorMemory, command, sparkHome, "http://"; + sc.ui.appUIAddress) - client = new Client(sc.env.actorSystem, master, appDesc, this) + client = new Client(sc.env.actorSystem, masters, appDesc, this) client.start() } @@ -71,8 +71,14 @@ private[spark] class SparkDeploySchedulerBackend( override def disconnected() { if (!stopping) { - logError("Disconnected from Spark cluster!") - scheduler.error("Disconnected from Spark cluster") + logWarning("Disconnected from Spark cluster! Waiting for reconnection...") + } + } + + override def dead() { + if (!stopping) { + logError("Spark cluster looks dead, giving up.") + scheduler.error("Spark cluster looks down") } } http://git-wip-us.apache.org/repos/asf/incubator-spark/blob/d66c01f2/core/src/main/scala/org/apache/spark/ui/UIWorkloadGenerator.scala ---------------------------------------------------------------------- diff --git a/core/src/main/scala/org/apache/spark/ui/UIWorkloadGenerator.scala b/core/src/main/scala/org/apache/spark/ui/UIWorkloadGenerator.scala index 453394d..fcd1b51 100644 --- a/core/src/main/scala/org/apache/spark/ui/UIWorkloadGenerator.scala +++ b/core/src/main/scala/org/apache/spark/ui/UIWorkloadGenerator.scala @@ -35,7 +35,7 @@ private[spark] object UIWorkloadGenerator { def main(args: Array[String]) { if (args.length < 2) { - println("usage: ./spark-class spark.ui.UIWorkloadGenerator [master] [FIFO|FAIR]") + println("usage: ./spark-class org.apache.spark.ui.UIWorkloadGenerator [master] [FIFO|FAIR]") System.exit(1) } val master = args(0) http://git-wip-us.apache.org/repos/asf/incubator-spark/blob/d66c01f2/core/src/test/scala/org/apache/spark/deploy/JsonProtocolSuite.scala ---------------------------------------------------------------------- diff --git a/core/src/test/scala/org/apache/spark/deploy/JsonProtocolSuite.scala b/core/src/test/scala/org/apache/spark/deploy/JsonProtocolSuite.scala index 05f8545..0b38e23 100644 --- a/core/src/test/scala/org/apache/spark/deploy/JsonProtocolSuite.scala +++ b/core/src/test/scala/org/apache/spark/deploy/JsonProtocolSuite.scala @@ -25,7 +25,7 @@ import net.liftweb.json.JsonAST.JValue import org.scalatest.FunSuite import org.apache.spark.deploy.DeployMessages.{MasterStateResponse, WorkerStateResponse} -import org.apache.spark.deploy.master.{ApplicationInfo, WorkerInfo} +import org.apache.spark.deploy.master.{ApplicationInfo, RecoveryState, WorkerInfo} import org.apache.spark.deploy.worker.ExecutorRunner class JsonProtocolSuite extends FunSuite { @@ -53,7 +53,8 @@ class JsonProtocolSuite extends FunSuite { val workers = Array[WorkerInfo](createWorkerInfo(), createWorkerInfo()) val activeApps = Array[ApplicationInfo](createAppInfo()) val completedApps = Array[ApplicationInfo]() - val stateResponse = new MasterStateResponse("host", 8080, workers, activeApps, completedApps) + val stateResponse = new MasterStateResponse("host", 8080, workers, activeApps, completedApps, + RecoveryState.ALIVE) val output = JsonProtocol.writeMasterState(stateResponse) assertValidJson(output) } @@ -79,7 +80,7 @@ class JsonProtocolSuite extends FunSuite { } def createExecutorRunner() : ExecutorRunner = { new ExecutorRunner("appId", 123, createAppDesc(), 4, 1234, null, "workerId", "host", - new File("sparkHome"), new File("workDir")) + new File("sparkHome"), new File("workDir"), ExecutorState.RUNNING) } def assertValidJson(json: JValue) { http://git-wip-us.apache.org/repos/asf/incubator-spark/blob/d66c01f2/docker/README.md ---------------------------------------------------------------------- diff --git a/docker/README.md b/docker/README.md new file mode 100644 index 0000000..bf59e77 --- /dev/null +++ b/docker/README.md @@ -0,0 +1,5 @@ +Spark docker files +=========== + +Drawn from Matt Massie's docker files (https://github.com/massie/dockerfiles), +as well as some updates from Andre Schumacher (https://github.com/AndreSchumacher/docker). \ No newline at end of file http://git-wip-us.apache.org/repos/asf/incubator-spark/blob/d66c01f2/docker/build ---------------------------------------------------------------------- diff --git a/docker/build b/docker/build new file mode 100755 index 0000000..253a2fc --- /dev/null +++ b/docker/build @@ -0,0 +1,22 @@ +#!/bin/bash + +# +# 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. +# + +docker images > /dev/null || { echo Please install docker in non-sudo mode. ; exit; } + +./spark-test/build \ No newline at end of file http://git-wip-us.apache.org/repos/asf/incubator-spark/blob/d66c01f2/docker/spark-test/README.md ---------------------------------------------------------------------- diff --git a/docker/spark-test/README.md b/docker/spark-test/README.md new file mode 100644 index 0000000..addea27 --- /dev/null +++ b/docker/spark-test/README.md @@ -0,0 +1,10 @@ +Spark Docker files usable for testing and development purposes. + +These images are intended to be run like so: +docker run -v $SPARK_HOME:/opt/spark spark-test-master +docker run -v $SPARK_HOME:/opt/spark spark-test-worker <master_ip> + +Using this configuration, the containers will have their Spark directories +mounted to your actual SPARK_HOME, allowing you to modify and recompile +your Spark source and have them immediately usable in the docker images +(without rebuilding them). http://git-wip-us.apache.org/repos/asf/incubator-spark/blob/d66c01f2/docker/spark-test/base/Dockerfile ---------------------------------------------------------------------- diff --git a/docker/spark-test/base/Dockerfile b/docker/spark-test/base/Dockerfile new file mode 100644 index 0000000..6096277 --- /dev/null +++ b/docker/spark-test/base/Dockerfile @@ -0,0 +1,38 @@ +# +# Licensed to the Apache Software Foundation (ASF) under one or more +# contributor license agreements. See the NOTICE file distributed with +# this work for additional information regarding copyright ownership. +# The ASF licenses this file to You under the Apache License, Version 2.0 +# (the "License"); you may not use this file except in compliance with +# the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# + +FROM ubuntu:precise + +RUN echo "deb http://archive.ubuntu.com/ubuntu precise main universe" > /etc/apt/sources.list + +# Upgrade package index +RUN apt-get update + +# install a few other useful packages plus Open Jdk 7 +RUN apt-get install -y less openjdk-7-jre-headless net-tools vim-tiny sudo openssh-server + +ENV SCALA_VERSION 2.9.3 +ENV SPARK_VERSION 0.8.1 +ENV CDH_VERSION cdh4 +ENV SCALA_HOME /opt/scala-$SCALA_VERSION +ENV SPARK_HOME /opt/spark +ENV PATH $SPARK_HOME:$SCALA_HOME/bin:$PATH + +# Install Scala +ADD http://www.scala-lang.org/files/archive/scala-$SCALA_VERSION.tgz / +RUN (cd / && gunzip < scala-$SCALA_VERSION.tgz)|(cd /opt && tar -xvf -) +RUN rm /scala-$SCALA_VERSION.tgz http://git-wip-us.apache.org/repos/asf/incubator-spark/blob/d66c01f2/docker/spark-test/build ---------------------------------------------------------------------- diff --git a/docker/spark-test/build b/docker/spark-test/build new file mode 100755 index 0000000..6f9e197 --- /dev/null +++ b/docker/spark-test/build @@ -0,0 +1,22 @@ +#!/bin/bash + +# +# 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. +# + +docker build -t spark-test-base spark-test/base/ +docker build -t spark-test-master spark-test/master/ +docker build -t spark-test-worker spark-test/worker/ http://git-wip-us.apache.org/repos/asf/incubator-spark/blob/d66c01f2/docker/spark-test/master/Dockerfile ---------------------------------------------------------------------- diff --git a/docker/spark-test/master/Dockerfile b/docker/spark-test/master/Dockerfile new file mode 100644 index 0000000..f729534 --- /dev/null +++ b/docker/spark-test/master/Dockerfile @@ -0,0 +1,21 @@ +# Spark Master +# +# 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. +# + +FROM spark-test-base +ADD default_cmd /root/ +CMD ["/root/default_cmd"] http://git-wip-us.apache.org/repos/asf/incubator-spark/blob/d66c01f2/docker/spark-test/master/default_cmd ---------------------------------------------------------------------- diff --git a/docker/spark-test/master/default_cmd b/docker/spark-test/master/default_cmd new file mode 100755 index 0000000..a5b1303 --- /dev/null +++ b/docker/spark-test/master/default_cmd @@ -0,0 +1,22 @@ +#!/bin/bash + +# +# 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. +# + +IP=$(ip -o -4 addr list eth0 | perl -n -e 'if (m{inet\s([\d\.]+)\/\d+\s}xms) { print $1 }') +echo "CONTAINER_IP=$IP" +/opt/spark/spark-class org.apache.spark.deploy.master.Master -i $IP http://git-wip-us.apache.org/repos/asf/incubator-spark/blob/d66c01f2/docker/spark-test/worker/Dockerfile ---------------------------------------------------------------------- diff --git a/docker/spark-test/worker/Dockerfile b/docker/spark-test/worker/Dockerfile new file mode 100644 index 0000000..890febe --- /dev/null +++ b/docker/spark-test/worker/Dockerfile @@ -0,0 +1,22 @@ +# Spark Worker +# +# 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. +# + +FROM spark-test-base +ENV SPARK_WORKER_PORT 8888 +ADD default_cmd /root/ +ENTRYPOINT ["/root/default_cmd"] http://git-wip-us.apache.org/repos/asf/incubator-spark/blob/d66c01f2/docker/spark-test/worker/default_cmd ---------------------------------------------------------------------- diff --git a/docker/spark-test/worker/default_cmd b/docker/spark-test/worker/default_cmd new file mode 100755 index 0000000..ab6336f --- /dev/null +++ b/docker/spark-test/worker/default_cmd @@ -0,0 +1,22 @@ +#!/bin/bash + +# +# 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. +# + +IP=$(ip -o -4 addr list eth0 | perl -n -e 'if (m{inet\s([\d\.]+)\/\d+\s}xms) { print $1 }') +echo "CONTAINER_IP=$IP" +/opt/spark/spark-class org.apache.spark.deploy.worker.Worker $1 http://git-wip-us.apache.org/repos/asf/incubator-spark/blob/d66c01f2/docs/spark-standalone.md ---------------------------------------------------------------------- diff --git a/docs/spark-standalone.md b/docs/spark-standalone.md index 81cdbef..17066ef 100644 --- a/docs/spark-standalone.md +++ b/docs/spark-standalone.md @@ -3,6 +3,9 @@ layout: global title: Spark Standalone Mode --- +* This will become a table of contents (this text will be scraped). +{:toc} + In addition to running on the Mesos or YARN cluster managers, Spark also provides a simple standalone deploy mode. You can launch a standalone cluster either manually, by starting a master and workers by hand, or use our provided [launch scripts](#cluster-launch-scripts). It is also possible to run these daemons on a single machine for testing. # Installing Spark Standalone to a Cluster @@ -169,3 +172,75 @@ In addition, detailed log output for each job is also written to the work direct You can run Spark alongside your existing Hadoop cluster by just launching it as a separate service on the same machines. To access Hadoop data from Spark, just use a hdfs:// URL (typically `hdfs://<namenode>:9000/path`, but you can find the right URL on your Hadoop Namenode's web UI). Alternatively, you can set up a separate cluster for Spark, and still have it access HDFS over the network; this will be slower than disk-local access, but may not be a concern if you are still running in the same local area network (e.g. you place a few Spark machines on each rack that you have Hadoop on). + +# High Availability + +By default, standalone scheduling clusters are resilient to Worker failures (insofar as Spark itself is resilient to losing work by moving it to other workers). However, the scheduler uses a Master to make scheduling decisions, and this (by default) creates a single point of failure: if the Master crashes, no new applications can be created. In order to circumvent this, we have two high availability schemes, detailed below. + +## Standby Masters with ZooKeeper + +**Overview** + +Utilizing ZooKeeper to provide leader election and some state storage, you can launch multiple Masters in your cluster connected to the same ZooKeeper instance. One will be elected "leader" and the others will remain in standby mode. If the current leader dies, another Master will be elected, recover the old Master's state, and then resume scheduling. The entire recovery process (from the time the the first leader goes down) should take between 1 and 2 minutes. Note that this delay only affects scheduling _new_ applications -- applications that were already running during Master failover are unaffected. + +Learn more about getting started with ZooKeeper [here](http://zookeeper.apache.org/doc/trunk/zookeeperStarted.html). + +**Configuration** + +In order to enable this recovery mode, you can set SPARK_DAEMON_JAVA_OPTS in spark-env using this configuration: + +<table class="table"> + <tr><th style="width:21%">System property</th><th>Meaning</th></tr> + <tr> + <td><code>spark.deploy.recoveryMode</code></td> + <td>Set to ZOOKEEPER to enable standby Master recovery mode (default: NONE).</td> + </tr> + <tr> + <td><code>spark.deploy.zookeeper.url</code></td> + <td>The ZooKeeper cluster url (e.g., 192.168.1.100:2181,192.168.1.101:2181).</td> + </tr> + <tr> + <td><code>spark.deploy.zookeeper.dir</code></td> + <td>The directory in ZooKeeper to store recovery state (default: /spark).</td> + </tr> +</table> + +Possible gotcha: If you have multiple Masters in your cluster but fail to correctly configure the Masters to use ZooKeeper, the Masters will fail to discover each other and think they're all leaders. This will not lead to a healthy cluster state (as all Masters will schedule independently). + +**Details** + +After you have a ZooKeeper cluster set up, enabling high availability is straightforward. Simply start multiple Master processes on different nodes with the same ZooKeeper configuration (ZooKeeper URL and directory). Masters can be added and removed at any time. + +In order to schedule new applications or add Workers to the cluster, they need to know the IP address of the current leader. This can be accomplished by simply passing in a list of Masters where you used to pass in a single one. For example, you might start your SparkContext pointing to ``spark://host1:port1,host2:port2``. This would cause your SparkContext to try registering with both Masters -- if ``host1`` goes down, this configuration would still be correct as we'd find the new leader, ``host2``. + +There's an important distinction to be made between "registering with a Master" and normal operation. When starting up, an application or Worker needs to be able to find and register with the current lead Master. Once it successfully registers, though, it is "in the system" (i.e., stored in ZooKeeper). If failover occurs, the new leader will contact all previously registered applications and Workers to inform them of the change in leadership, so they need not even have known of the existence of the new Master at startup. + +Due to this property, new Masters can be created at any time, and the only thing you need to worry about is that _new_ applications and Workers can find it to register with in case it becomes the leader. Once registered, you're taken care of. + +## Single-Node Recovery with Local File System + +**Overview** + +ZooKeeper is the best way to go for production-level high availability, but if you just want to be able to restart the Master if it goes down, FILESYSTEM mode can take care of it. When applications and Workers register, they have enough state written to the provided directory so that they can be recovered upon a restart of the Master process. + +**Configuration** + +In order to enable this recovery mode, you can set SPARK_DAEMON_JAVA_OPTS in spark-env using this configuration: + +<table class="table"> + <tr><th style="width:21%">System property</th><th>Meaning</th></tr> + <tr> + <td><code>spark.deploy.recoveryMode</code></td> + <td>Set to FILESYSTEM to enable single-node recovery mode (default: NONE).</td> + </tr> + <tr> + <td><code>spark.deploy.recoveryDirectory</code></td> + <td>The directory in which Spark will store recovery state, accessible from the Master's perspective.</td> + </tr> +</table> + +**Details** + +* This solution can be used in tandem with a process monitor/manager like [monit](http://mmonit.com/monit/), or just to enable manual recovery via restart. +* While filesystem recovery seems straightforwardly better than not doing any recovery at all, this mode may be suboptimal for certain development or experimental purposes. In particular, killing a master via stop-master.sh does not clean up its recovery state, so whenever you start a new Master, it will enter recovery mode. This could increase the startup time by up to 1 minute if it needs to wait for all previously-registered Workers/clients to timeout. +* While it's not officially supported, you could mount an NFS directory as the recovery directory. If the original Master node dies completely, you could then start a Master on a different node, which would correctly recover all previously registered Workers/applications (equivalent to ZooKeeper recovery). Future applications will have to be able to find the new Master, however, in order to register. http://git-wip-us.apache.org/repos/asf/incubator-spark/blob/d66c01f2/docs/streaming-programming-guide.md ---------------------------------------------------------------------- diff --git a/docs/streaming-programming-guide.md b/docs/streaming-programming-guide.md index c7df172..835b257 100644 --- a/docs/streaming-programming-guide.md +++ b/docs/streaming-programming-guide.md @@ -122,12 +122,12 @@ Spark Streaming features windowed computations, which allow you to apply transfo <table class="table"> <tr><th style="width:30%">Transformation</th><th>Meaning</th></tr> <tr> - <td> <b>window</b>(<i>windowDuration</i>, </i>slideDuration</i>) </td> + <td> <b>window</b>(<i>windowDuration</i>, <i>slideDuration</i>) </td> <td> Return a new DStream which is computed based on windowed batches of the source DStream. <i>windowDuration</i> is the width of the window and <i>slideTime</i> is the frequency during which the window is calculated. Both times must be multiples of the batch interval. </td> </tr> <tr> - <td> <b>countByWindow</b>(<i>windowDuration</i>, </i>slideDuration</i>) </td> + <td> <b>countByWindow</b>(<i>windowDuration</i>, <i>slideDuration</i>) </td> <td> Return a sliding count of elements in the stream. <i>windowDuration</i> and <i>slideDuration</i> are exactly as defined in <code>window()</code>. </td> </tr> @@ -161,7 +161,6 @@ Spark Streaming features windowed computations, which allow you to apply transfo <i>windowDuration</i> and <i>slideDuration</i> are exactly as defined in <code>window()</code>. </td> </tr> - </table> A complete list of DStream operations is available in the API documentation of [DStream](api/streaming/index.html#org.apache.spark.streaming.DStream) and [PairDStreamFunctions](api/streaming/index.html#org.apache.spark.streaming.PairDStreamFunctions). http://git-wip-us.apache.org/repos/asf/incubator-spark/blob/d66c01f2/docs/tuning.md ---------------------------------------------------------------------- diff --git a/docs/tuning.md b/docs/tuning.md index 28d88a2..f491ae9 100644 --- a/docs/tuning.md +++ b/docs/tuning.md @@ -175,7 +175,7 @@ To further tune garbage collection, we first need to understand some basic infor * Java Heap space is divided in to two regions Young and Old. The Young generation is meant to hold short-lived objects while the Old generation is intended for objects with longer lifetimes. -* The Young generation is further divided into three regions [Eden, Survivor1, Survivor2]. +* The Young generation is further divided into three regions \[Eden, Survivor1, Survivor2\]. * A simplified description of the garbage collection procedure: When Eden is full, a minor GC is run on Eden and objects that are alive from Eden and Survivor1 are copied to Survivor2. The Survivor regions are swapped. If an object is old http://git-wip-us.apache.org/repos/asf/incubator-spark/blob/d66c01f2/pom.xml ---------------------------------------------------------------------- diff --git a/pom.xml b/pom.xml index 049b636..a04e209 100644 --- a/pom.xml +++ b/pom.xml @@ -346,6 +346,17 @@ <scope>test</scope> </dependency> <dependency> + <groupId>org.apache.zookeeper</groupId> + <artifactId>zookeeper</artifactId> + <version>3.4.5</version> + <exclusions> + <exclusion> + <groupId>org.jboss.netty</groupId> + <artifactId>netty</artifactId> + </exclusion> + </exclusions> + </dependency> + <dependency> <groupId>org.apache.hadoop</groupId> <artifactId>hadoop-client</artifactId> <version>${hadoop.version}</version> http://git-wip-us.apache.org/repos/asf/incubator-spark/blob/d66c01f2/project/SparkBuild.scala ---------------------------------------------------------------------- diff --git a/project/SparkBuild.scala b/project/SparkBuild.scala index 0eda2d3..0843170 100644 --- a/project/SparkBuild.scala +++ b/project/SparkBuild.scala @@ -216,6 +216,7 @@ object SparkBuild extends Build { "net.java.dev.jets3t" % "jets3t" % "0.7.1", "org.apache.avro" % "avro" % "1.7.4", "org.apache.avro" % "avro-ipc" % "1.7.4" excludeAll(excludeNetty), + "org.apache.zookeeper" % "zookeeper" % "3.4.5" excludeAll(excludeNetty), "com.codahale.metrics" % "metrics-core" % "3.0.0", "com.codahale.metrics" % "metrics-jvm" % "3.0.0", "com.codahale.metrics" % "metrics-json" % "3.0.0",
