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The Dataflow activity in Data Factory for Microsoft Fabric allows you to run a Dataflow Gen2.
Prerequisites
To get started, you must complete the following prerequisites:
- A tenant account with an active subscription. Create an account for free.
- A workspace is created.
Add a Dataflow activity to a pipeline with UI
To use a Dataflow activity in a pipeline, complete the following steps:
Creating the activity
Create a new pipeline in your workspace.
Search for Dataflow in the pipeline Activities pane, and select it to add it to the pipeline canvas.
Select the new Dataflow activity on the canvas if it isn't already selected.
Refer to the General settings guidance to configure the General settings tab.
Dataflow activity settings
Select the Settings tab, then select an existing workspace and dataflow to run. If you have made a Dataflow Gen2 with CI/CD and Git integration support (Preview), you can also select it from the dropdown.
The notification option is not currently available.
Note
Public parameters mode and support for parameters to be passed to a Dataflow is a preview feature only available for Dataflow Gen2 with CI/CD support. Additionally, parameterizing the DataflowId in the dataflow pipeline activity settings will only support the legacy Dataflow Gen2 version without CICD support. I.e. you cannot invoke Dataflows w/CICD support using parameterization of the DataflowId. This is only a temporary limitation until all Dataflows are converted to the new CICD enabled version.
Inside the Dataflow parameters section you are able to enter the name of the parameter that you wish to pass as well as the type and value that you wish to pass.
For more information on how to enable the Dataflow parameters capability on your Dataflow Gen2, check the article on Public parameters for Dataflow Gen2.
Save and run or schedule the pipeline
After you configure any other activities required for your pipeline, switch to the Home tab at the top of the pipeline editor, and select the save button to save your pipeline. Select Run to run it directly, or Schedule to schedule it. You can also view the run history here or configure other settings.
