entirely inside the cluster. Hi All I have been trying to submit below spark job in cluster mode through a bash shell. To use a custom log4j configuration for the application master or executors, here are the options The [`spark-submit` script](submitting-applications.html) provides the: most straightforward way to submit a compiled Spark application to the cluster in either deploy: mode. error(" Cluster deploy mode is not applicable to Spark SQL shell. ") Exception: Java gateway process exited before sending the driver its port number RAW Paste Data App file refers to missing application.conf. Error: Cluster deploy mode is not applicable to Spark shells. 因为spark-shell作为一个与用户交互的命令行,必须将Driver运行在本地,而不是yarn上。 其中的参数与提交Spark应用程序到yarn上用法一样。 启动之后,在命令行看上去和standalone模式下的无异: @@ -142,6 +142,8 @@ object SparkSubmit {printErrorAndExit(" Cluster deploy mode is currently not supported for python applications.case (_, CLUSTER) if isShell(args.primaryResource) =>: printErrorAndExit(" Cluster deploy mode is not applicable to Spark shells.case (_, CLUSTER) if isSqlShell(args.mainClass) =>: printErrorAndExit(" Cluster deploy mode is not applicable to Spark Sql shells. I am running my spark streaming application using spark-submit on yarn-cluster. But when i switch to cluster mode, this fails with error, no app file present. All of the tasks and the ApplicationsMaster run on the YARN NodeManagers however unlike yarn-cluster mode, the Driver does Error: Cluster deploy mode is not applicable to Spark shells. In cluster mode, the Spark driver runs inside an application master process which is managed by YARN on the cluster, ... $ ./bin/spark-shell --master yarn --deploy-mode client Adding Other JARs. The following shows how you can run spark-shell in client mode: $ ./bin/spark-shell --master yarn --deploy-mode client Adding Other JARs. Error: Cluster deploy mode is not applicable to Spark shells. Client mode submit works perfectly fine. But when I try to run it on yarn-cluster using spark-submit, it runs for some time and then exits with following execption Thus, this is not applicable to hosted clusters). CDH 5.4 . In cluster mode, the driver runs on a different machine than the client, so SparkContext.addJar won’t work out of the box with files that are local case (_, CLUSTER) if isThriftServer(args.mainClass) => error(" Cluster deploy mode is not applicable to Spark Thrift server. ") Error: Cluster deploy mode is not applicable to Spark shells. case _ =>} // Update args.deployMode if it is null. It will be passed down as a Spark … Using the yarn-client option, the Spark Driver runs on the client (the host where you ran the Spark application). When I run it on local mode it is working fine. printErrorAndExit(" Cluster deploy mode is not compatible with master \" local \" ") case (_, CLUSTER ) if isShell(args.primaryResource) => printErrorAndExit( " Cluster deploy mode is not applicable to Spark shells. 因为spark-shell作为一个与用户交互的命令行,必须将Driver运行在本地,而不是yarn上。 其中的参数与提交Spark应用程序到yarn上用法一样。 Is not applicable to Spark SQL shell. `` applicable to Spark SQL shell. `` yarn-client option the. Shell. `` NodeManagers however unlike yarn-cluster mode, the Driver does CDH 5.4 is null it local. 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