[SPARK-1516]Throw exception in yarn clinet instead of run system.exit directly.

All the changes is in  the package of "org.apache.spark.deploy.yarn":
1) Add a ClientException with an exitCode
2) Throws exception in ClinetArguments and ClientBase instead of exit directly
3) in Client's main method, catch exception and exit with the exitCode.

After the fix, if user integrate the spark yarn cline into their applications,
when the argument is wrong or the running is finished, the application will not exit.
And the exit only happens in command line running.

Author: codeboyyong

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

@@ -85,7 +85,6 @@ class Client(clientArgs: ClientArguments, hadoopConf: Configuration, spConf: Spa
   def run() {
     val appId = runApp()
     monitorApplication(appId)
-    System.exit(0)
   }
 
   def logClusterResourceDetails() {
@@ -179,8 +178,17 @@ object Client {
     System.setProperty("SPARK_YARN_MODE", "true")
 
     val sparkConf = new SparkConf
-    val args = new ClientArguments(argStrings, sparkConf)
 
-    new Client(args, sparkConf).run
+    try {
+      val args = new ClientArguments(argStrings, sparkConf)
+      new Client(args, sparkConf).run()
+    } catch {
+      case e: Exception => {
+        Console.err.println(e.getMessage)
+        System.exit(1)
+      }
+    }
+
+    System.exit(0)
   }
 }

yarn/common/src/main/scala/org/apache/spark/deploy/yarn/ClientArguments.scala

@@ -125,11 +125,11 @@ class ClientArguments(val args: Array[String], val sparkConf: SparkConf) {
 
         case Nil =>
           if (userClass == null) {
-            printUsageAndExit(1)
+            throw new IllegalArgumentException(getUsageMessage())
           }
 
         case _ =>
-          printUsageAndExit(1, args)
+          throw new IllegalArgumentException(getUsageMessage(args))
       }
     }
 
@@ -138,11 +138,10 @@ class ClientArguments(val args: Array[String], val sparkConf: SparkConf) {
   }
 
 
-  def printUsageAndExit(exitCode: Int, unknownParam: Any = null) {
-    if (unknownParam != null) {
-      System.err.println("Unknown/unsupported param " + unknownParam)
-    }
-    System.err.println(
+  def getUsageMessage(unknownParam: Any = null): String = {
+    val message = if (unknownParam != null) s"Unknown/unsupported param $unknownParam\n" else ""
+
+    message +
       "Usage: org.apache.spark.deploy.yarn.Client [options] \n" +
       "Options:\n" +
       "  --jar JAR_PATH             Path to your application's JAR file (required in yarn-cluster mode)\n" +
@@ -158,8 +157,5 @@ class ClientArguments(val args: Array[String], val sparkConf: SparkConf) {
       "  --addJars jars             Comma separated list of local jars that want SparkContext.addJar to work with.\n" +
       "  --files files              Comma separated list of files to be distributed with the job.\n" +
       "  --archives archives        Comma separated list of archives to be distributed with the job."
-      )
-    System.exit(exitCode)
   }
-
 }

yarn/common/src/main/scala/org/apache/spark/deploy/yarn/ClientBase.scala

@@ -37,7 +37,7 @@ import org.apache.hadoop.yarn.api.protocolrecords._
 import org.apache.hadoop.yarn.api.records._
 import org.apache.hadoop.yarn.conf.YarnConfiguration
 import org.apache.hadoop.yarn.util.Records
-import org.apache.spark.{Logging, SparkConf, SparkContext}
+import org.apache.spark.{SparkException, Logging, SparkConf, SparkContext}
 
 /**
  * The entry point (starting in Client#main() and Client#run()) for launching Spark on YARN. The
@@ -79,7 +79,7 @@ trait ClientBase extends Logging {
     ).foreach { case(cond, errStr) =>
       if (cond) {
         logError(errStr)
-        args.printUsageAndExit(1)
+        throw new IllegalArgumentException(args.getUsageMessage())
       }
     }
   }
@@ -94,15 +94,20 @@ trait ClientBase extends Logging {
 
     // If we have requested more then the clusters max for a single resource then exit.
     if (args.executorMemory > maxMem) {
-      logError("Required executor memory (%d MB), is above the max threshold (%d MB) of this cluster.".
-        format(args.executorMemory, maxMem))
-      System.exit(1)
+      val errorMessage =
+        "Required executor memory (%d MB), is above the max threshold (%d MB) of this cluster."
+          .format(args.executorMemory, maxMem)
+
+      logError(errorMessage)
+      throw new IllegalArgumentException(errorMessage)
     }
     val amMem = args.amMemory + YarnAllocationHandler.MEMORY_OVERHEAD
     if (amMem > maxMem) {
-      logError("Required AM memory (%d) is above the max threshold (%d) of this cluster".
-        format(args.amMemory, maxMem))
-      System.exit(1)
+
+      val errorMessage = "Required AM memory (%d) is above the max threshold (%d) of this cluster."
+        .format(args.amMemory, maxMem)
+      logError(errorMessage)
+      throw new IllegalArgumentException(errorMessage)
     }
 
     // We could add checks to make sure the entire cluster has enough resources but that involves
@@ -186,8 +191,9 @@ trait ClientBase extends Logging {
     val delegTokenRenewer = Master.getMasterPrincipal(conf)
     if (UserGroupInformation.isSecurityEnabled()) {
       if (delegTokenRenewer == null || delegTokenRenewer.length() == 0) {
-        logError("Can't get Master Kerberos principal for use as renewer")
-        System.exit(1)
+        val errorMessage = "Can't get Master Kerberos principal for use as renewer"
+        logError(errorMessage)
+        throw new SparkException(errorMessage)
       }
     }
     val dst = new Path(fs.getHomeDirectory(), appStagingDir)

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

@@ -95,7 +95,6 @@ class Client(clientArgs: ClientArguments, hadoopConf: Configuration, spConf: Spa
   def run() {
     val appId = runApp()
     monitorApplication(appId)
-    System.exit(0)
   }
 
   def logClusterResourceDetails() {
@@ -186,9 +185,18 @@ object Client {
     // see Client#setupLaunchEnv().
     System.setProperty("SPARK_YARN_MODE", "true")
     val sparkConf = new SparkConf()
-    val args = new ClientArguments(argStrings, sparkConf)
 
-    new Client(args, sparkConf).run()
+    try {
+      val args = new ClientArguments(argStrings, sparkConf)
+      new Client(args, sparkConf).run()
+    } catch {
+      case e: Exception => {
+        Console.err.println(e.getMessage)
+        System.exit(1)
+      }
+    }
+
+    System.exit(0)
   }
 
 }