Make functions run by the Akka scheduler use Executor's UncaughtExcep…

…tionHandler

core/src/main/scala/org/apache/spark/deploy/client/AppClient.scala

@@ -30,7 +30,7 @@ import org.apache.spark.{Logging, SparkConf, SparkException}
 import org.apache.spark.deploy.{ApplicationDescription, ExecutorState}
 import org.apache.spark.deploy.DeployMessages._
 import org.apache.spark.deploy.master.Master
-import org.apache.spark.util.AkkaUtils
+import org.apache.spark.util.{UncaughtExceptionHandler, AkkaUtils}
 
 /**
  * Interface allowing applications to speak with a Spark deploy cluster. Takes a master URL,
@@ -88,6 +88,7 @@ private[spark] class AppClient(
       var retries = 0
       registrationRetryTimer = Some {
         context.system.scheduler.schedule(REGISTRATION_TIMEOUT, REGISTRATION_TIMEOUT) {
+          Thread.currentThread.setUncaughtExceptionHandler(UncaughtExceptionHandler)
           retries += 1
           if (registered) {
             registrationRetryTimer.foreach(_.cancel())

core/src/main/scala/org/apache/spark/deploy/worker/Worker.scala

@@ -34,7 +34,7 @@ import org.apache.spark.deploy.DeployMessages._
 import org.apache.spark.deploy.master.{DriverState, Master}
 import org.apache.spark.deploy.worker.ui.WorkerWebUI
 import org.apache.spark.metrics.MetricsSystem
-import org.apache.spark.util.{AkkaUtils, Utils}
+import org.apache.spark.util.{UncaughtExceptionHandler, AkkaUtils, Utils}
 
 /**
   * @param masterUrls Each url should look like spark://host:port.
@@ -166,6 +166,7 @@ private[spark] class Worker(
     var retries = 0
     registrationRetryTimer = Some {
       context.system.scheduler.schedule(REGISTRATION_TIMEOUT, REGISTRATION_TIMEOUT) {
+        Thread.currentThread.setUncaughtExceptionHandler(UncaughtExceptionHandler)
         retries += 1
         if (registered) {
           registrationRetryTimer.foreach(_.cancel())

core/src/main/scala/org/apache/spark/executor/Executor.scala

@@ -29,7 +29,7 @@ import org.apache.spark._
 import org.apache.spark.deploy.SparkHadoopUtil
 import org.apache.spark.scheduler._
 import org.apache.spark.storage.{StorageLevel, TaskResultBlockId}
-import org.apache.spark.util.{AkkaUtils, Utils}
+import org.apache.spark.util.{UncaughtExceptionHandler, AkkaUtils, Utils}
 
 /**
  * Spark executor used with Mesos, YARN, and the standalone scheduler.

core/src/main/scala/org/apache/spark/scheduler/TaskSchedulerImpl.scala

@@ -31,6 +31,7 @@ import scala.util.Random
 import org.apache.spark._
 import org.apache.spark.TaskState.TaskState
 import org.apache.spark.scheduler.SchedulingMode.SchedulingMode
+import org.apache.spark.util.UncaughtExceptionHandler
 
 /**
  * Schedules tasks for multiple types of clusters by acting through a SchedulerBackend.
@@ -139,6 +140,7 @@ private[spark] class TaskSchedulerImpl(
       import sc.env.actorSystem.dispatcher
       sc.env.actorSystem.scheduler.schedule(SPECULATION_INTERVAL milliseconds,
             SPECULATION_INTERVAL milliseconds) {
+        Thread.currentThread.setUncaughtExceptionHandler(UncaughtExceptionHandler)
         checkSpeculatableTasks()
       }
     }

core/src/main/scala/org/apache/spark/storage/BlockManager.scala

@@ -155,6 +155,7 @@ private[spark] class BlockManager(
     BlockManagerWorker.startBlockManagerWorker(this)
     if (!BlockManager.getDisableHeartBeatsForTesting(conf)) {
       heartBeatTask = actorSystem.scheduler.schedule(0.seconds, heartBeatFrequency.milliseconds) {
+        Thread.currentThread.setUncaughtExceptionHandler(UncaughtExceptionHandler)
         heartBeat()
       }
     }

core/src/main/scala/org/apache/spark/util/UncaughtExceptionHandler.scala

@@ -0,0 +1,42 @@
+/*
+ * 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.util
+
+import org.apache.spark.executor.ExecutorExitCode
+import org.apache.spark.Logging
+
+object UncaughtExceptionHandler extends Thread.UncaughtExceptionHandler with Logging {
+  override def uncaughtException(thread: Thread, exception: Throwable) {
+    try {
+      logError("Uncaught exception in thread " + thread, exception)
+
+      // We may have been called from a shutdown hook. If so, we must not call System.exit().
+      // (If we do, we will deadlock.)
+      if (!Utils.inShutdown()) {
+        if (exception.isInstanceOf[OutOfMemoryError]) {
+          System.exit(ExecutorExitCode.OOM)
+        } else {
+          System.exit(ExecutorExitCode.UNCAUGHT_EXCEPTION)
+        }
+      }
+    } catch {
+      case oom: OutOfMemoryError => Runtime.getRuntime.halt(ExecutorExitCode.OOM)
+      case t: Throwable => Runtime.getRuntime.halt(ExecutorExitCode.UNCAUGHT_EXCEPTION_TWICE)
+    }
+  }
+}