How to Activate and Deactivate Activities in Azure Data Factory Step-by-Step

Azure Data Factory (ADF) is a cloud-based data integration service that allows you to create, schedule, and manage data pipelines. In ADF, you can activate and deactivate activities in your pipelines to control their behavior during pipeline execution. This feature is useful when you want to temporarily disable an activity without deleting it from the pipeline.

In this tutorial, we will learn how to activate and deactivate activities in ADF step-by-step. We will cover the following topics:

1. Why activate and deactivate activities?
2. How to activate and deactivate activities in ADF?
3. Best practices for using this feature.

Why activate and deactivate activities?

Activating and deactivating activities in ADF can help you achieve the following goals:

• Efficient pipeline development: You can comment out part of the pipeline without deleting it from the canvas, which significantly improves pipeline developer efficiency.
• Flexible pipeline execution: You can skip one or more activities during validation and pipeline run, which provides more flexibility in pipeline execution.
• Easy debugging: You can debug your pipeline by deactivating certain activities and running the pipeline with only the active activities.

How to activate and deactivate activities in ADF?

To activate or deactivate an activity in ADF, follow these steps:

1. Open your pipeline in the ADF authoring UI.
2. Select the activity you want to activate or deactivate.
3. In the General tab of the activity settings, set the Activity state to either Active or Inactive.
4. If you set the Activity state to Inactive, choose a state for Mark activity as (Succeeded, Failed, or Skipped).
5. Save your changes.

You can also deactivate multiple activities at once by selecting them with your mouse and choosing Deactivate from the drop-down menu.

Best practices for using this feature

Here are some best practices for using the activate/deactivate feature in ADF:

• Use this feature when you want to temporarily disable an activity without deleting it from the pipeline.
• Comment out part of the pipeline that is not yet complete or needs further development.
• Use this feature when you want to debug your pipeline by running it with only certain activities active.

That’s it! Now you know how to activate and deactivate activities in Azure Data Factory step-by-step. If you have any questions or comments, please leave them below.

Video Tutorial: How to Activate and Deactivate Activities in Azure Data Factory Step-by-Step