indet thing

Author: WangTaoTheTonic

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

@@ -213,25 +213,25 @@ private[spark] class ClientArguments(args: Array[String], sparkConf: SparkConf)
   private def getUsageMessage(unknownParam: List[String] = null): String = {
     val message = if (unknownParam != null) s"Unknown/unsupported param $unknownParam\n" else ""
     message + """
-                |Usage: org.apache.spark.deploy.yarn.Client [options]
-                |Options:
-                |  --jar JAR_PATH           Path to your application's JAR file (required in yarn-cluster
-                |                           mode)
-                |  --class CLASS_NAME       Name of your application's main class (required)
-                |  --arg ARG                Argument to be passed to your application's main class.
-                |                           Multiple invocations are possible, each will be passed in order.
-                |  --num-executors NUM      Number of executors to start (Default: 2)
-                |  --executor-cores NUM     Number of cores for the executors (Default: 1).
-                |  --driver-memory MEM      Memory for driver (e.g. 1000M, 2G) (Default: 512 Mb)
-                |  --cores NUM              Number of cores used by the driver (Default: 1).
-                |  --executor-memory MEM    Memory per executor (e.g. 1000M, 2G) (Default: 1G)
-                |  --name NAME              The name of your application (Default: Spark)
-                |  --queue QUEUE            The hadoop queue to use for allocation requests (Default:
-                |                           'default')
-                |  --addJars jars           Comma separated list of local jars that want SparkContext.addJar
-                |                           to work with.
-                |  --files files            Comma separated list of files to be distributed with the job.
-                |  --archives archives      Comma separated list of archives to be distributed with the job.
-              """.stripMargin
+      |Usage: org.apache.spark.deploy.yarn.Client [options]
+      |Options:
+      |  --jar JAR_PATH           Path to your application's JAR file (required in yarn-cluster
+      |                           mode)
+      |  --class CLASS_NAME       Name of your application's main class (required)
+      |  --arg ARG                Argument to be passed to your application's main class.
+      |                           Multiple invocations are possible, each will be passed in order.
+      |  --num-executors NUM      Number of executors to start (Default: 2)
+      |  --executor-cores NUM     Number of cores for the executors (Default: 1).
+      |  --driver-memory MEM      Memory for driver (e.g. 1000M, 2G) (Default: 512 Mb)
+      |  --cores NUM              Number of cores used by the driver (Default: 1).
+      |  --executor-memory MEM    Memory per executor (e.g. 1000M, 2G) (Default: 1G)
+      |  --name NAME              The name of your application (Default: Spark)
+      |  --queue QUEUE            The hadoop queue to use for allocation requests (Default:
+      |                           'default')
+      |  --addJars jars           Comma separated list of local jars that want SparkContext.addJar
+      |                           to work with.
+      |  --files files            Comma separated list of files to be distributed with the job.
+      |  --archives archives      Comma separated list of archives to be distributed with the job.
+    """.stripMargin
   }
 }