Running an Application with the Code Editor

In the Console, you can use the Code Editor to run a Data Flow Application.

• Console
• CLI
• API

• You must have created the config for user authentication as described in Using the Code Editor.

  1. In the Console, navigate to the Data Flow Applications page.
  2. Select Launch code editor.
     The Code editor opens.
  3. Select the O Oracle logo.
     A list of available plug-ins is displayed.
  4. Select DATA FLOW plug-in.
     It expands to display all the compartments and projects under it.
  5. Navigate to where your Applications are stored. This can be a local or network repository.
  6. Right-click the project you want to run, and select Run Locally.
     The Run Application window opens.
  7. Provide the following Application properties:
     • Language - one of Java, Python, or Scala.
     • Main ClassName - the main class name run in the project. For Python this is Main File Name.
     • Arguments - the command line arguments expected by the Spark application.
     • conf - any extra configuration for the application to run.
     • jars - the third-party JAR file required by the application.
     • Check Enable Spark Oracle data source property to use Spark Oracle datasource.
     • Check Enable Spark Oracle metastore property to use a metastore.
     • Select a Compartment.
     • Select a Metasore.

       

  8. Select Run.
     The Data Flow plug-in packages the application and runs it.
  9. (Optional) Check the status of the application from the notification tray. Selecting the Notifications tray gives more detailed status information.
     
  10. (Optional) Select runlog.txt to check the log files.
      
  11. (Optional) Upload the artifact to Data Flow.
      1. Right-click the project in question.
      2. Select Upload artifact.
      3. Select the language.
      4. Enter the Object Storage namespace.
      5. Enter the Bucket name.

• This task can't be performed using the CLI.

• This task can't be performed using the API.