[SPARK-2318] When exiting on a signal, print the signal name first.

core/src/main/scala/org/apache/spark/deploy/master/Master.scala

@@ -41,7 +41,7 @@ import org.apache.spark.deploy.master.ui.MasterWebUI
 import org.apache.spark.metrics.MetricsSystem
 import org.apache.spark.scheduler.{EventLoggingListener, ReplayListenerBus}
 import org.apache.spark.ui.SparkUI
-import org.apache.spark.util.{AkkaUtils, Utils}
+import org.apache.spark.util.{AkkaUtils, SignalLogger, Utils}
 
 private[spark] class Master(
     host: String,
@@ -755,12 +755,13 @@ private[spark] class Master(
   }
 }
 
-private[spark] object Master {
+private[spark] object Master extends Logging {
   val systemName = "sparkMaster"
   private val actorName = "Master"
   val sparkUrlRegex = "spark://([^:]+):([0-9]+)".r
 
   def main(argStrings: Array[String]) {
+    SignalLogger.register(log)
     val conf = new SparkConf
     val args = new MasterArguments(argStrings, conf)
     val (actorSystem, _, _) = startSystemAndActor(args.host, args.port, args.webUiPort, conf)

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.{AkkaUtils, SignalLogger, Utils}
 
 /**
   * @param masterUrls Each url should look like spark://host:port.
@@ -365,8 +365,9 @@ private[spark] class Worker(
   }
 }
 
-private[spark] object Worker {
+private[spark] object Worker extends Logging {
   def main(argStrings: Array[String]) {
+    SignalLogger.register(log)
     val args = new WorkerArguments(argStrings)
     val (actorSystem, _) = startSystemAndActor(args.host, args.port, args.webUiPort, args.cores,
       args.memory, args.masters, args.workDir)

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

@@ -31,7 +31,7 @@ import org.apache.spark.deploy.SparkHadoopUtil
 import org.apache.spark.deploy.worker.WorkerWatcher
 import org.apache.spark.scheduler.TaskDescription
 import org.apache.spark.scheduler.cluster.CoarseGrainedClusterMessages._
-import org.apache.spark.util.{AkkaUtils, Utils}
+import org.apache.spark.util.{AkkaUtils, SignalLogger, Utils}
 
 private[spark] class CoarseGrainedExecutorBackend(
     driverUrl: String,
@@ -97,10 +97,12 @@ private[spark] class CoarseGrainedExecutorBackend(
   }
 }
 
-private[spark] object CoarseGrainedExecutorBackend {
+private[spark] object CoarseGrainedExecutorBackend extends Logging {
   def run(driverUrl: String, executorId: String, hostname: String, cores: Int,
     workerUrl: Option[String]) {
 
+    SignalLogger.register(log)
+
     SparkHadoopUtil.get.runAsSparkUser { () =>
       // Debug code
       Utils.checkHost(hostname)

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

@@ -25,8 +25,8 @@ import org.apache.mesos.Protos.{TaskStatus => MesosTaskStatus, _}
 
 import org.apache.spark.{Logging, TaskState}
 import org.apache.spark.TaskState.TaskState
-import org.apache.spark.util.Utils
 import org.apache.spark.deploy.SparkHadoopUtil
+import org.apache.spark.util.{SignalLogger, Utils}
 
 private[spark] class MesosExecutorBackend
   extends MesosExecutor
@@ -93,8 +93,9 @@ private[spark] class MesosExecutorBackend
 /**
  * Entry point for Mesos executor.
  */
-private[spark] object MesosExecutorBackend {
+private[spark] object MesosExecutorBackend extends Logging {
   def main(args: Array[String]) {
+    SignalLogger.register(log)
     SparkHadoopUtil.get.runAsSparkUser { () =>
         MesosNativeLibrary.load()
         // Create a new Executor and start it running

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

@@ -0,0 +1,60 @@
+/*
+ * 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.commons.lang.SystemUtils
+import org.slf4j.Logger
+import sun.misc.{Signal, SignalHandler}
+
+/**
+ * Used to log signals received. This can be very useful in debugging crashes or kills.
+ *
+ * Inspired by Colin Patrick McCabe's similar class from Hadoop.
+ */
+private[spark] object SignalLogger {
+
+  private var registered = false
+
+  /** Register a signal handler to log signals on UNIX-like systems. */
+  def register(log: Logger): Unit = synchronized {
+    if (SystemUtils.IS_OS_UNIX) {
+      require(!registered, "Can't re-install the signal handlers")
+      registered = true
+
+      val signals = Seq("TERM", "HUP", "INT")
+      for (signal <- signals) {
+        try {
+          new SignalLoggerHandler(signal, log)
+        } catch {
+          case e: Exception => log.warn("Failed to register signal handler " + signal, e)
+        }
+      }
+      log.info("Registered signal handlers for [" + signals.mkString(", ") + "]")
+    }
+  }
+}
+
+private sealed class SignalLoggerHandler(name: String, log: Logger) extends SignalHandler {
+
+  val prevHandler = Signal.handle(new Signal(name), this)
+
+  override def handle(signal: Signal): Unit = {
+    log.error("RECEIVED SIGNAL " + signal.getNumber() + ": SIG" + signal.getName())
+    prevHandler.handle(signal)
+  }
+}

yarn/alpha/src/main/scala/org/apache/spark/deploy/yarn/ApplicationMaster.scala

@@ -37,7 +37,7 @@ import org.apache.hadoop.yarn.util.{ConverterUtils, Records}
 
 import org.apache.spark.{Logging, SecurityManager, SparkConf, SparkContext}
 import org.apache.spark.deploy.SparkHadoopUtil
-import org.apache.spark.util.Utils
+import org.apache.spark.util.{SignalLogger, Utils}
 
 /**
  * An application master that runs the users driver program and allocates executors.
@@ -409,7 +409,7 @@ class ApplicationMaster(args: ApplicationMasterArguments, conf: Configuration,
 
 }
 
-object ApplicationMaster {
+object ApplicationMaster extends Logging {
   // Number of times to wait for the allocator loop to complete.
   // Each loop iteration waits for 100ms, so maximum of 3 seconds.
   // This is to ensure that we have reasonable number of containers before we start
@@ -487,6 +487,7 @@ object ApplicationMaster {
   }
 
   def main(argStrings: Array[String]) {
+    SignalLogger.register(log)
     val args = new ApplicationMasterArguments(argStrings)
     SparkHadoopUtil.get.runAsSparkUser { () =>
       new ApplicationMaster(args).run()

yarn/stable/src/main/scala/org/apache/spark/deploy/yarn/ApplicationMaster.scala

@@ -37,7 +37,7 @@ import org.apache.hadoop.yarn.webapp.util.WebAppUtils
 
 import org.apache.spark.{Logging, SecurityManager, SparkConf, SparkContext}
 import org.apache.spark.deploy.SparkHadoopUtil
-import org.apache.spark.util.Utils
+import org.apache.spark.util.{SignalLogger, Utils}
 
 
 /**
@@ -363,7 +363,7 @@ class ApplicationMaster(args: ApplicationMasterArguments, conf: Configuration,
 
 }
 
-object ApplicationMaster {
+object ApplicationMaster extends Logging {
   // Number of times to wait for the allocator loop to complete.
   // Each loop iteration waits for 100ms, so maximum of 3 seconds.
   // This is to ensure that we have reasonable number of containers before we start
@@ -455,6 +455,7 @@ object ApplicationMaster {
   }
 
   def main(argStrings: Array[String]) {
+    SignalLogger.register(log)
     val args = new ApplicationMasterArguments(argStrings)
     SparkHadoopUtil.get.runAsSparkUser { () =>
       new ApplicationMaster(args).run()