Data flows can be run, monitored, and managed through a rule-based API. Data-Decision-DDFRunOptions is the container class for the API rules and provides the properties required to programmatically configure data flow runs. Additionally, the DataFlow-Execute method allows you to perform a number of operations that depend on the design of the data flow that you invoke.

• Running a data flow

  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.

• Running a data flow in single mode

  Use the Call instruction with the Data-Decision-DDF-RunOptions.pxRunSingleCaseDDF activity to trigger a data flow run in single mode. Only data flows with an abstract source or an abstract destination can be run in this mode.

• Specializing activities

  Use the Call instruction with the Data-Decision-DDF-RunOptions.pyPreActivity and Call Data-Decision-DDF-RunOptions.pyPostActivity activities to define which activities should be run before and after batch or real-time data flow runs that are not single-case runs. Use the activities to prepare your data flow run and perform certain actions when the run ends. Pre-activities run before assignments are created. Post-activities start at the end of the data flow regardless of whether the run finishes, fails, or stops. Both pre- and post-activities

• Managing data flows

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

• Monitoring data flows

  Use the Call instruction with several activities to track the status of data flows that were run in batch mode with the Call Data-Decision-DDF-RunOptions.pxRunDDFWithProgressPage method or submitted on the Data Flows landing page. You can track the number of processed records, and the elapsed or the remaining time of the data flow run.

• 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.

• Types of data flows
• DataFlow-Execute method