Creating and starting an external data flow run

Use the Call instruction with the pxStartRun activity to create and start an external data flow run.

1. Create an instance of the Activity rule in the Dev Studio navigation panel by clicking Records Technical Activity .

2. In the activity steps, enter the Call pxStartRun method:

   1. Add the first step:

      • Method: Page-New
      • Step page: runOptions

   2. Add the second step:

      • Method: Property-Set
      • Step page: runOptions

   3. In the second step, click the arrow to the left of the Method field to specify properties of the runOptions class:

      • .pyAppliesTo - Class that contains an instance of the External Data Flow rule that you want to run.
      • .pyRuleName - Name of the External Data Flow rule instance that you want to run.
      • .pyHadoopInstance - Name of the Hadoop record with a configuration of the Hadoop environment on which you want to run the External Data Flow rule instance.

   4. Add the third step:

      • Method: Call pxStartRun
      • Step page: runOptions

3. Click Save.

• Creating external data flows

  External Data Flow (EDF) is a rule for defining the flow of data on the graphical canvas and executing that flow on an external system. With EDF, you can run predictive analytics models in a Hadoop environment and utilize its infrastructure to process large numbers of records to limit the data transfer between Hadoop and the Pega Platform.

• Starting an external data flow run

  Use the Call instruction with the pxStartRunById activity to start an external data flow run that has already been created.

• Calling another activity
• Keystores

  A keystore is a file that contains keys and certificates that you use for encryption, authentication, and serving content over HTTPS. In Pega Platform, you create a keystore data instance that points to a keystore file.

• Decision Management methods