SparkSubmit.printErrorAndExit(s"Cannot load main class from JAR $primaryResource") } case _ => SparkSubmit.printErrorAndExit( s"Cannot load main class from JAR $primaryResource with URI $uriScheme. " + "Please specify a class through --class.") } } 1. 2. 3. 4. 5. 6. 7. 8. 9...
List<String> cmd =buildJavaCommand(extraClassPath);//Take Thrift Server as daemonif(isThriftServer(mainClass)) { addOptionString(cmd, System.getenv("SPARK_DAEMON_JAVA_OPTS")); } addOptionString(cmd, System.getenv("SPARK_SUBMIT_OPTS"));//We don't want the client to specify Xmx. These ...
*/@tailrecprivatedefsubmit(args:SparkSubmitArguments):Unit= {val(childArgs, childClasspath, sysProps, childMainClass) = prepareSubmitEnvironment(args)defdoRunMain():Unit= {if(args.proxyUser !=null) {valproxyUser =UserGroupInformation.createProxyUser(args.proxyUser,UserGroupInformation.getCurrentUser())tr...
// Usage: RRunner [app arguments] // 非sparkR-shell,设置main,并将下载到本地的R文件添加到子类参数和文件列表中 args.mainClass = "org.apache.spark.deploy.RRunner" args.childArgs = ArrayBuffer(localPrimaryResource) ++ args.childArgs args.files = mergeFileLists(args.files, args.primaryResource...
When you want to spark-submit a PySpark application (Spark with Python), you need to specify the .py file you want to run and specify the .egg file or .zip file for dependency libraries.Below are some of the options & configurations specific to run pyton (.py) file with spark submit....
[1]) // Specify user app jar path .setMainClass(args[2]); if (args.length > 3) { String[] list = new String[args.length - 3]; for (int i = 3; i < args.length; i++) { list[i-3] = args[i]; } // Set app args launcher.addAppArgs(list); } // Launch the app ...
Hi, I understand that there is an example in the github on pyspark codes, namely the multistep workflow, however, I have problem understanding how a saved spark model should be served (with their spark configuration specified). If would ...
When developing a Spark application, specify the Hadoop version by adding the "hadoop-client" artifact to your project's dependencies. For example, if you're using Hadoop 1.2.1 and build your application using SBT, add this entry tolibraryDependencies: ...
private def validateSubmitArguments(): Unit = { // 参数长度 if (args.length == 0) { printUsageAndExit(-1) } // 资源jars路径 if (primaryResource == null) { error("Must specify a primary resource (JAR or Python or R file)") } // --class if (mainClass == null && SparkSubmit....