Github user tgravescs commented on a diff in the pull request: https://github.com/apache/spark/pull/3215#discussion_r20251642 --- Diff: yarn/src/main/scala/org/apache/spark/deploy/yarn/ClientArguments.scala --- @@ -178,21 +178,25 @@ 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] \n" + - "Options:\n" + - " --jar JAR_PATH Path to your application's JAR file (required in yarn-cluster mode)\n" + - " --class CLASS_NAME Name of your application's main class (required)\n" + - " --arg ARG Argument to be passed to your application's main class.\n" + - " Multiple invocations are possible, each will be passed in order.\n" + - " --num-executors NUM Number of executors to start (Default: 2)\n" + - " --executor-cores NUM Number of cores for the executors (Default: 1).\n" + - " --driver-memory MEM Memory for driver (e.g. 1000M, 2G) (Default: 512 Mb)\n" + - " --executor-memory MEM Memory per executor (e.g. 1000M, 2G) (Default: 1G)\n" + - " --name NAME The name of your application (Default: Spark)\n" + - " --queue QUEUE The hadoop queue to use for allocation requests (Default: 'default')\n" + - " --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." + 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)\n" + --- End diff -- is \n still needed?
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