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Running a data flow

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Use the Call instruction with the Data-Decision-DDF-RunOptions.pxStartRun and Data-Decision-DDF-RunOptions.pxRunDDFWithProgressPage activities, or the DataFlow-Execute method to trigger a data flow run.

  1. Create an instance of the Activity rule by clicking Records Explorer Technical Activity .

  2. In the activity steps, enter one of the following methods:

    • Data-Decision-DDF-RunOptions.pxStartRun - Triggers a data flow run. The activity queues the data flow run and most likely will finish before the data flow run does.
    • Data-Decision-DDF-RunOptions.pxRunDDFWithProgressPage - Triggers a data flow run and creates the progress page so that the data flow can be monitored.
  3. Click the arrow to the left of the Method field to expand the method and specify its parameters.

  4. Click Save.

  • Types of data flows

    Data flows are scalable data pipelines that you can build to sequence and combine data based on various data sources. Each data flow consists of components that transform data and enrich data processing with business rules.

  • 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.

  • DataFlow-Execute method

    Apply the DataFlow-Execute method to perform data management operations on records from the data flow main input. By using the DataFlow-Execute method, you can automate these operations and perform them programmatically instead of doing them manually. For example, you can configure an activity to start a data flow at a specified time.

  • Decision Management methods

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