Allow relevant configs to propagate to standalone Driver

Author: andrewor14

core/src/main/scala/org/apache/spark/deploy/Client.scala

@@ -107,6 +107,7 @@ private class ClientActor(driverArgs: ClientArguments, conf: SparkConf) extends
         // Exception, if present
         statusResponse.exception.map { e =>
           println(s"Exception from cluster was: $e")
+          e.printStackTrace()
           System.exit(-1)
         }
         System.exit(0)

core/src/main/scala/org/apache/spark/deploy/SparkSubmit.scala

@@ -164,9 +164,9 @@ object SparkSubmit {
     val options = List[OptionAssigner](
 
       // All cluster managers
-      OptionAssigner(args.master, ALL_CLUSTER_MGRS, CLIENT, sysProp = "spark.master"),
-      OptionAssigner(args.name, ALL_CLUSTER_MGRS, CLIENT, sysProp = "spark.app.name"),
-      OptionAssigner(args.jars, ALL_CLUSTER_MGRS, CLIENT, sysProp = "spark.jars"),
+      OptionAssigner(args.master, ALL_CLUSTER_MGRS, ALL_DEPLOY_MODES, sysProp = "spark.master"),
+      OptionAssigner(args.name, ALL_CLUSTER_MGRS, ALL_DEPLOY_MODES, sysProp = "spark.app.name"),
+      OptionAssigner(args.jars, ALL_CLUSTER_MGRS, ALL_DEPLOY_MODES, sysProp = "spark.jars"),
 
       // Standalone cluster only
       OptionAssigner(args.driverMemory, STANDALONE, CLUSTER, clOption = "--memory"),
@@ -197,9 +197,9 @@ object SparkSubmit {
         sysProp = "spark.driver.extraJavaOptions"),
       OptionAssigner(args.driverExtraLibraryPath, STANDALONE | YARN, CLUSTER,
         sysProp = "spark.driver.extraLibraryPath"),
-      OptionAssigner(args.executorMemory, STANDALONE | MESOS | YARN, CLIENT,
+      OptionAssigner(args.executorMemory, STANDALONE | MESOS | YARN, ALL_DEPLOY_MODES,
         sysProp = "spark.executor.memory"),
-      OptionAssigner(args.totalExecutorCores, STANDALONE | MESOS, CLIENT,
+      OptionAssigner(args.totalExecutorCores, STANDALONE | MESOS, ALL_DEPLOY_MODES,
         sysProp = "spark.cores.max"),
       OptionAssigner(args.files, LOCAL | STANDALONE | MESOS, ALL_DEPLOY_MODES,
         sysProp = "spark.files")