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Managing data flows

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You can use the Call instruction with several activities to start, stop, or delete data flow instances that are identified by the runID parameter.

  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:

    • To delete the data flow run and associated statistics: Call Data-Decision-DDF-RunOptions.pxDeleteRunById
    • To stop the data flow run: Call Data-Decision-DDF-RunOptions.pxStopRunById

      If the run is not a test run, this operation preserves the statistics that are associated with the data flow run, like the number of processed records or throughput.

    • To start a configured data flow run: Call Data-Decision-DDF-RunOptions.pxStartRunById
  3. Click the arrow to the left of the Method field to expand the method and provide the run ID. You can obtain the run ID from the Data Flows landing page.

  4. Click Save.

  • Data Flows landing page

    This landing page provides facilities for managing data flows in your application. Data flows allow you to sequence and combine data based on various sources, and write the results to a destination. Data flow runs that are initiated through this landing page run in the access group context. They always use the checked-in instance of the Data Flow rule and the referenced rules.

  • 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.

  • Decision Management methods

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