How to submit a spark program in Standalone client mode

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In standalone client mode, use ClientApp to submit spark programs.

This class is in the deploy/Client.scala file.

private[spark] class ClientApp extends SparkApplication { override def start(args: Array[String], conf: SparkConf): Unit = { val driverArgs = new ClientArguments(args) val rpcEnv = RpcEnv.create("driverClient", Utils.localHostName(), 0, conf, new SecurityManager(conf)) val masterEndpoints = driverArgs.masters.map(RpcAddress.fromSparkURL). map(rpcEnv.setupEndpointRef(_, Master.ENDPOINT_NAME)) rpcEnv.setupEndpoint("client", new ClientEndpoint(rpcEnv, driverArgs, masterEndpoints, conf)) rpcEnv.awaitTermination() }}

The code is simple. The start method creates a ClientEndpoint and interacts with the Master.

ClientEndpoint's main functions and methods:

override def onStart(): Unit = { driverArgs.cmd match { case "launch" => // TODO: We could add an env variable here and intercept it in `sc.addJar` that would // truncate filesystem paths similar to what YARN does. For now, we just require // people call `addJar` assuming the jar is in the same directory. val mainClass = "org.apache.spark.deploy.worker.DriverWrapper" val classPathConf = config.DRIVER_CLASS_PATH.key val classPathEntries = getProperty(classPathConf, conf).toSeq.flatMap { cp => cp.split(java.io.File.pathSeparator) } val libraryPathConf = config.DRIVER_LIBRARY_PATH.key val libraryPathEntries = getProperty(libraryPathConf, conf).toSeq.flatMap { cp => cp.split(java.io.File.pathSeparator) } val extraJavaOptsConf = config.DRIVER_JAVA_OPTIONS.key val extraJavaOpts = getProperty(extraJavaOptsConf, conf) .map(Utils.splitCommandString).getOrElse(Seq.empty) val sparkJavaOpts = Utils.sparkJavaOpts(conf) val javaOpts = sparkJavaOpts ++ extraJavaOpts val command = new Command(mainClass, Seq("{{WORKER_URL}}", "{{USER_JAR}}", driverArgs.mainClass) ++ driverArgs.driverOptions, sys.env, classPathEntries, libraryPathEntries, javaOpts) val driverResourceReqs = ResourceUtils.parseResourceRequirements(conf, config.SPARK_DRIVER_PREFIX) val driverDescription = new DriverDescription( driverArgs.jarUrl, driverArgs.memory, driverArgs.cores, driverArgs.supervise, command, driverResourceReqs) asyncSendToMasterAndForwardReply[SubmitDriverResponse]( RequestSubmitDriver(driverDescription)) case "kill" => val driverId = driverArgs.driverId asyncSendToMasterAndForwardReply[KillDriverResponse](RequestKillDriver(driverId)) }

Wrap an org.apache.spark.deploy.worker.DriverWrapper class and send a DriverDescription message to the Master to launch the DriverWrapper on the Master. DriverWrapper is very simple, here will not go into detail, the role is to play a thread, the execution of our spark program main method.

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