Pass parameters to the jar when using spark launcher

Question

I am trying to create an executable jar which is using a spark launcher to run another jar with data transformation task(this jar creates spark session).

I need to pass java parameters(some java arrays) to the jar which is executed by the launcher.

object launcher {
  @throws[Exception]
  // How do I pass parameters to spark_job_with_spark_session.jar
  def main(args: Array[String]): Unit = {
    val handle = new SparkLauncher()
      .setAppResource("spark_job_with_spark_session.jar")
      .setVerbose(true)
      .setMaster("local[*]")
      .setConf(SparkLauncher.DRIVER_MEMORY, "4g")
      .launch()
  }
}

How can I do that?

Answer 1

need to pass java parameters(some java arrays)

It is equivalent to executing spark-submit so you cannot pass Java objects directly. Use app args

addAppArgs(String... args)

to pass application arguments, and parse them in your app.

Answer 2

/*
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 */
package com.meow.woof.meow_spark_launcher.app;

import com.meow.woof.meow_spark_launcher.common.TaskListener;
import org.apache.spark.launcher.SparkAppHandle;
import org.apache.spark.launcher.SparkLauncher;

/**
 *
 * @author hahattpro
 */
public class ExampleSparkLauncherApp {

    public static void main(String[] args) throws Exception {
        SparkAppHandle handle = new SparkLauncher()
                .setAppResource("/home/cpu11453/workplace/experiment/SparkPlayground/target/scala-2.11/SparkPlayground-assembly-0.1.jar")
                .setMainClass("me.thaithien.playground.ConvertToCsv")
                .setMaster("spark://cpu11453:7077")
                .setConf(SparkLauncher.DRIVER_MEMORY, "3G")
                .addAppArgs("--input" , "/data/download_hdfs/data1/2019_08_13/00/", "--output", "/data/download_hdfs/data1/2019_08_13/00_csv_output/")
                .startApplication(new TaskListener());

        handle.addListener(new SparkAppHandle.Listener() {
            @Override
            public void stateChanged(SparkAppHandle handle) {
                System.out.println(handle.getState() + " new  state");
            }

            @Override
            public void infoChanged(SparkAppHandle handle) {
                System.out.println(handle.getState() + " new  state");
            }
        });

        System.out.println(handle.getState().toString());

        while (!handle.getState().isFinal()) {
            //await until job finishes
            Thread.sleep(1000L);
        }
    }
}

Here is example code that work