Merge branch 'master' into removesemicolonscala

3 files changed, 58 insertions, 29 deletions

diff --git a/yarn/src/main/scala/org/apache/spark/deploy/yarn/ApplicationMaster.scala b/yarn/src/main/scala/org/apache/spark/deploy/yarn/ApplicationMaster.scala
index 997a6dc1ec..a7baf0c36c 100644
--- a/yarn/src/main/scala/org/apache/spark/deploy/yarn/ApplicationMaster.scala
+++ b/yarn/src/main/scala/org/apache/spark/deploy/yarn/ApplicationMaster.scala
@@ -54,7 +54,9 @@ class ApplicationMaster(args: ApplicationMasterArguments, conf: Configuration) e
   private val maxAppAttempts: Int = conf.getInt(YarnConfiguration.RM_AM_MAX_RETRIES,
     YarnConfiguration.DEFAULT_RM_AM_MAX_RETRIES)
   private var isLastAMRetry: Boolean = true
-
+  // default to numWorkers * 2, with minimum of 3 
+  private val maxNumWorkerFailures = System.getProperty("spark.yarn.max.worker.failures",
+    math.max(args.numWorkers * 2, 3).toString()).toInt
 
   def run() {
     // setup the directories so things go to yarn approved directories rather
@@ -227,12 +229,13 @@ class ApplicationMaster(args: ApplicationMasterArguments, conf: Configuration) e
 
         if (null != sparkContext) {
           uiAddress = sparkContext.ui.appUIAddress
-          this.yarnAllocator = YarnAllocationHandler.newAllocator(yarnConf, resourceManager, appAttemptId, args, 
-                                               sparkContext.preferredNodeLocationData) 
+          this.yarnAllocator = YarnAllocationHandler.newAllocator(yarnConf, resourceManager, 
+            appAttemptId, args, sparkContext.preferredNodeLocationData) 
         } else {
           logWarning("Unable to retrieve sparkContext inspite of waiting for " + count * waitTime + 
-                  ", numTries = " + numTries)
-          this.yarnAllocator = YarnAllocationHandler.newAllocator(yarnConf, resourceManager, appAttemptId, args)
+            ", numTries = " + numTries)
+          this.yarnAllocator = YarnAllocationHandler.newAllocator(yarnConf, resourceManager,
+            appAttemptId, args)
         }
       }
     } finally {
@@ -251,8 +254,11 @@ class ApplicationMaster(args: ApplicationMasterArguments, conf: Configuration) e
       while(yarnAllocator.getNumWorkersRunning < args.numWorkers &&
         // If user thread exists, then quit !
         userThread.isAlive) {
-
-          this.yarnAllocator.allocateContainers(math.max(args.numWorkers - yarnAllocator.getNumWorkersRunning, 0))
+          if (yarnAllocator.getNumWorkersFailed >= maxNumWorkerFailures) {
+            finishApplicationMaster(FinalApplicationStatus.FAILED,
+              "max number of worker failures reached")
+          }
+          yarnAllocator.allocateContainers(math.max(args.numWorkers - yarnAllocator.getNumWorkersRunning, 0))
           ApplicationMaster.incrementAllocatorLoop(1)
           Thread.sleep(100)
       }
@@ -268,21 +274,27 @@ class ApplicationMaster(args: ApplicationMasterArguments, conf: Configuration) e
       // ensure that progress is sent before YarnConfiguration.RM_AM_EXPIRY_INTERVAL_MS elapse.
 
       val timeoutInterval = yarnConf.getInt(YarnConfiguration.RM_AM_EXPIRY_INTERVAL_MS, 120000)
-      // must be <= timeoutInterval/ 2.
-      // On other hand, also ensure that we are reasonably responsive without causing too many requests to RM.
-      // so atleast 1 minute or timeoutInterval / 10 - whichever is higher.
-      val interval = math.min(timeoutInterval / 2, math.max(timeoutInterval/ 10, 60000L))
+
+      // we want to be reasonably responsive without causing too many requests to RM.
+      val schedulerInterval = 
+        System.getProperty("spark.yarn.scheduler.heartbeat.interval-ms", "5000").toLong
+
+      // must be <= timeoutInterval / 2.
+      val interval = math.min(timeoutInterval / 2, schedulerInterval)
       launchReporterThread(interval)
     }
   }
 
-  // TODO: We might want to extend this to allocate more containers in case they die !
   private def launchReporterThread(_sleepTime: Long): Thread = {
     val sleepTime = if (_sleepTime <= 0 ) 0 else _sleepTime
 
     val t = new Thread {
       override def run() {
         while (userThread.isAlive) {
+          if (yarnAllocator.getNumWorkersFailed >= maxNumWorkerFailures) {
+            finishApplicationMaster(FinalApplicationStatus.FAILED, 
+              "max number of worker failures reached")
+          }
           val missingWorkerCount = args.numWorkers - yarnAllocator.getNumWorkersRunning
           if (missingWorkerCount > 0) {
             logInfo("Allocating " + missingWorkerCount + " containers to make up for (potentially ?) lost containers")
@@ -321,7 +333,7 @@ class ApplicationMaster(args: ApplicationMasterArguments, conf: Configuration) e
   }
   */
 
-  def finishApplicationMaster(status: FinalApplicationStatus) {
+  def finishApplicationMaster(status: FinalApplicationStatus, diagnostics: String = "") {
 
     synchronized {
       if (isFinished) {
@@ -335,6 +347,7 @@ class ApplicationMaster(args: ApplicationMasterArguments, conf: Configuration) e
       .asInstanceOf[FinishApplicationMasterRequest]
     finishReq.setAppAttemptId(appAttemptId)
     finishReq.setFinishApplicationStatus(status)
+    finishReq.setDiagnostics(diagnostics)
     // set tracking url to empty since we don't have a history server
     finishReq.setTrackingUrl("")
     resourceManager.finishApplicationMaster(finishReq)
diff --git a/yarn/src/main/scala/org/apache/spark/deploy/yarn/Client.scala b/yarn/src/main/scala/org/apache/spark/deploy/yarn/Client.scala
index 49a8cfde81..94e353af2e 100644
--- a/yarn/src/main/scala/org/apache/spark/deploy/yarn/Client.scala
+++ b/yarn/src/main/scala/org/apache/spark/deploy/yarn/Client.scala
@@ -57,6 +57,8 @@ class Client(conf: Configuration, args: ClientArguments) extends YarnClientImpl
   val APP_FILE_PERMISSION: FsPermission = FsPermission.createImmutable(0644:Short) 
 
   def run() {
+    validateArgs()
+
     init(yarnConf)
     start()
     logClusterResourceDetails()
@@ -81,6 +83,23 @@ class Client(conf: Configuration, args: ClientArguments) extends YarnClientImpl
     System.exit(0)
   }
 
+  def validateArgs() = {
+    Map((System.getenv("SPARK_JAR") == null) -> "Error: You must set SPARK_JAR environment variable!",
+      (args.userJar == null) -> "Error: You must specify a user jar!",
+      (args.userClass == null) -> "Error: You must specify a user class!",
+      (args.numWorkers <= 0) -> "Error: You must specify atleast 1 worker!",
+      (args.amMemory <= YarnAllocationHandler.MEMORY_OVERHEAD) ->
+        ("Error: AM memory size must be greater then: " + YarnAllocationHandler.MEMORY_OVERHEAD),
+      (args.workerMemory <= YarnAllocationHandler.MEMORY_OVERHEAD) ->
+        ("Error: Worker memory size must be greater then: " + YarnAllocationHandler.MEMORY_OVERHEAD.toString()))
+    .foreach { case(cond, errStr) => 
+      if (cond) {
+        logError(errStr)
+        args.printUsageAndExit(1)
+      }
+    }
+  }
+
   def getAppStagingDir(appId: ApplicationId): String = {
     SPARK_STAGING + Path.SEPARATOR + appId.toString() + Path.SEPARATOR
   }
@@ -94,7 +113,6 @@ class Client(conf: Configuration, args: ClientArguments) extends YarnClientImpl
       ", queueMaxCapacity=" + queueInfo.getMaximumCapacity + ", queueApplicationCount=" + queueInfo.getApplications.size +
       ", queueChildQueueCount=" + queueInfo.getChildQueues.size)
   }
-
   
   def verifyClusterResources(app: GetNewApplicationResponse) = { 
     val maxMem = app.getMaximumResourceCapability().getMemory()
@@ -212,11 +230,6 @@ class Client(conf: Configuration, args: ClientArguments) extends YarnClientImpl
 
     val statCache: Map[URI, FileStatus] = HashMap[URI, FileStatus]()
 
-    if (System.getenv("SPARK_JAR") == null || args.userJar == null) {
-      logError("Error: You must set SPARK_JAR environment variable and specify a user jar!")
-      System.exit(1)
-    }
-
     Map(Client.SPARK_JAR -> System.getenv("SPARK_JAR"), Client.APP_JAR -> args.userJar, 
       Client.LOG4J_PROP -> System.getenv("SPARK_LOG4J_CONF"))
     .foreach { case(destName, _localPath) =>
@@ -331,7 +344,6 @@ class Client(conf: Configuration, args: ClientArguments) extends YarnClientImpl
     JAVA_OPTS += " -Djava.io.tmpdir=" + 
       new Path(Environment.PWD.$(), YarnConfiguration.DEFAULT_CONTAINER_TEMP_DIR) + " "
 
-
     // Commenting it out for now - so that people can refer to the properties if required. Remove it once cpuset version is pushed out.
     // The context is, default gc for server class machines end up using all cores to do gc - hence if there are multiple containers in same
     // node, spark gc effects all other containers performance (which can also be other spark containers)
@@ -357,11 +369,6 @@ class Client(conf: Configuration, args: ClientArguments) extends YarnClientImpl
       javaCommand = Environment.JAVA_HOME.$() + "/bin/java"
     }
 
-    if (args.userClass == null) {
-      logError("Error: You must specify a user class!")
-      System.exit(1)
-    }
-
     val commands = List[String](javaCommand + 
       " -server " +
       JAVA_OPTS +
@@ -439,6 +446,7 @@ object Client {
     System.setProperty("SPARK_YARN_MODE", "true")
 
     val args = new ClientArguments(argStrings)
+
     new Client(args).run
   }
 
diff --git a/yarn/src/main/scala/org/apache/spark/deploy/yarn/YarnAllocationHandler.scala b/yarn/src/main/scala/org/apache/spark/deploy/yarn/YarnAllocationHandler.scala
index 25da9aa917..507a0743fd 100644
--- a/yarn/src/main/scala/org/apache/spark/deploy/yarn/YarnAllocationHandler.scala
+++ b/yarn/src/main/scala/org/apache/spark/deploy/yarn/YarnAllocationHandler.scala
@@ -72,9 +72,11 @@ private[yarn] class YarnAllocationHandler(val conf: Configuration, val resourceM
   // Used to generate a unique id per worker
   private val workerIdCounter = new AtomicInteger()
   private val lastResponseId = new AtomicInteger()
+  private val numWorkersFailed = new AtomicInteger()
 
   def getNumWorkersRunning: Int = numWorkersRunning.intValue
 
+  def getNumWorkersFailed: Int = numWorkersFailed.intValue
 
   def isResourceConstraintSatisfied(container: Container): Boolean = {
     container.getResource.getMemory >= (workerMemory + YarnAllocationHandler.MEMORY_OVERHEAD)
@@ -253,8 +255,16 @@ private[yarn] class YarnAllocationHandler(val conf: Configuration, val resourceM
         else {
           // simply decrement count - next iteration of ReporterThread will take care of allocating !
           numWorkersRunning.decrementAndGet()
-          logInfo("Container completed ? nodeId: " + containerId + ", state " + completedContainer.getState +
-            " httpaddress: " + completedContainer.getDiagnostics)
+          logInfo("Container completed not by us ? nodeId: " + containerId + ", state " + completedContainer.getState +
+            " httpaddress: " + completedContainer.getDiagnostics + " exit status: " + completedContainer.getExitStatus())
+
+          // Hadoop 2.2.X added a ContainerExitStatus we should switch to use
+          // there are some exit status' we shouldn't necessarily count against us, but for
+          // now I think its ok as none of the containers are expected to exit
+          if (completedContainer.getExitStatus() != 0) {
+            logInfo("Container marked as failed: " + containerId) 
+            numWorkersFailed.incrementAndGet()
+          }
         }
 
         allocatedHostToContainersMap.synchronized {
@@ -378,8 +388,6 @@ private[yarn] class YarnAllocationHandler(val conf: Configuration, val resourceM
     val releasedContainerList = createReleasedContainerList()
     req.addAllReleases(releasedContainerList)
 
-
-
     if (numWorkers > 0) {
       logInfo("Allocating " + numWorkers + " worker containers with " + (workerMemory + YarnAllocationHandler.MEMORY_OVERHEAD) + " of memory each.")
     }