Configure a Spark Shell job

This topic describes how to configure a Spark Shell job.

1. Log on to the Alibaba Cloud E-MapReduce console with an Alibaba Cloud account.
2. Click the Data Platform tab.
3. In the Projects section, click Edit Job in the row of a project.
4. In the left-side navigation pane, right-click the required folder and choose Create Job from the shortcut menu.
   Note You can also right-click the folder to create a subfolder, rename the folder, or delete the folder.
5. In the dialog box that appears, set the Name and Description parameters, and select Spark Shell from the Job Type drop-down list.
   This option indicates that a Spark Shell job will be created.
6. Click OK.
7. Specify the command line arguments that follow the Spark Shell command in the Content field.

   Example:

   val count = sc.parallelize(1 to 100).filter { _ =>
     val x = math.random
     val y = math.random
     x*x + y*y < 1
   }.count()println(s"Pi is roughly ${4.0 * count / 100}")

8. Click Save.