Join us at FabCon Atlanta from March 16 - 20, 2026, for the ultimate Fabric, Power BI, AI and SQL community-led event. Save $200 with code FABCOMM.
Register now!Calling all Data Engineers! Fabric Data Engineer (Exam DP-700) live sessions are back! Starting October 16th. Sign up.
How to diffrentiate scheduled run of a Fabric pipeline vs manual run. From the monitor tab I am not able to diffrentiate scheduled or triggered run of a pipeline vs the manual run of a pipeline.
Thanks!
Solved! Go to Solution.
There is column called Run Kind which can be added from Column Options on top right corner of the Monitor tab in Fabric.This column gives values like Manual/Scheduled. This serves the purpose.
Thanks !
Hi @BessyBasil,
Thank you for reaching out to the Microsoft forum community.
As of now, in the Microsoft Fabric Monitor tab, there is no direct built-in feature that explicitly differentiates between scheduled (triggered) runs and manual runs of a pipeline.
You can set a pipeline parameter to indicate the run type. When scheduling the pipeline, use a parameter such as RunType = "Scheduled". For manual triggers, set RunType = "Manual".
For more information, please refer the below link:
How to monitor pipeline runs - Microsoft Fabric | Microsoft Learn
If this helps, then please Accept it as a solution and dropping a "Kudos" so other members can find it more easily.
Thank you.
There is column called Run Kind which can be added from Column Options on top right corner of the Monitor tab in Fabric.This column gives values like Manual/Scheduled. This serves the purpose.
Thanks !
Hi @BessyBasil,
Thank you for sharing this! Yes, adding the Run Kind column from the Column Options in the Monitor tab is a great way to determine whether a run was Manual or Scheduled. This provides a direct and efficient solution.
Your approach serves the purpose well, and I appreciate you sharing it with the community! Marking this as the accepted answer so others can benefit from it.
Thank you.
Check out the November 2025 Fabric update to learn about new features.
Advance your Data & AI career with 50 days of live learning, contests, hands-on challenges, study groups & certifications and more!