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Creating a Spark Job

Create a Spark Job from the Job Designs node in the Repository tree view. You can also create it from Big Data Batch under Job Designs.

Procedure

  1. Right-click the Job Designs node and in the contextual menu, select Create Big Data Batch Job.
    Then the New Big Data Batch Job wizard appears.
  2. From the Framework drop-down list, select Spark.
  3. In the Name, the Purpose and the Description fields, enter the descriptive information accordingly. Among the information, the Job name is mandatory.
    Once done, the Finish button is activated.
  4. If you need to change the Job version, click the M and the m buttons next to the Version field to make the changes.
    If you need to change the Job status, select it from the drop-down list of the Status field.
    If you need to edit the information in the uneditable fields, select File > Edit Project properties from the menu bar to open the Project Settings dialog box to make the desired changes.
  5. Click Finish to close the wizard and validate the changes.
    Then an empty Job is opened in the Talend Studio workspace and the available components for Spark appear in the Palette.

Results

In the Repository tree view, this created Spark Job appears automatically under the Big Data Batch node under Job Designs.

Add components from the Palette to the workspace, then connect and configure them to design the Job.

To configure the runtime environment for your Spark Job, define the connection in the Spark configuration tab of the Run view. For more information, see Defining Spark Universal connection details in the Spark configuration view.

To create a Spark Streaming Job, use Create Big Data Streaming Job and select Spark Streaming from the Framework list in the New Big Data Streaming Job wizard.

You can also create these types of Jobs by writing their Job scripts in the Jobscript view and then generate the Jobs accordingly. For more information on using Job scripts, see Talend Job scripts reference guide.

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