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fabricpribeiro's avatar
fabricpribeiro
Post Patron
4 months ago
Solved

event trigger authentication & error fetch

Dears,   We have an event trigger which I created from inside my fabric data factory pipeline by choosing the option onelake events (figure 1)    If I am not wrong, it works like this : onelake -...
workspaces
  • v-nmadadi-msft's avatar
    v-nmadadi-msft
    4 months ago

    Hi fabricpribeiro ,

    A gap-detection check is a simple monitoring mechanism that ensures your event-driven pipeline is working correctly end to end. It works by checking whether a pipeline run happens within a defined time after a file is created in OneLake. If a file arrives but no corresponding pipeline execution is detected within that time window, it raises an alert (for example, via email or Teams). This helps you catch issues in the event-to-trigger process such as missed events or Activator failures even when your pipeline never starts and therefore doesn’t generate any logs.

    Please check this article for more details:
    Reacting to Azure Blob storage events | Microsoft Learn

     

    I hope this information helps. Please do let us know if you have any further queries.
    Thank you

v-nmadadi-msft's avatar
v-nmadadi-msft
Community Support
4 months ago

Hi fabricpribeiro   ,
Thanks for reaching out to the Microsoft Fabric Community forum. 

 

At the moment, there is no need to configure a separate service principal or identity for the trigger within the UI. The trigger operates under the Fabric-managed identity within the workspace context, where the Activator service handles the event internally and executes the pipeline using the permissions associated with the workspace and the pipeline artifact.
For monitoring this flow, the recommended approach is to leverage Workspace Monitoring, specifically the Item Job Events. These provide visibility into when pipelines are triggered and executed, allowing you to track whether the event from OneLake successfully resulted in a pipeline run. While OneLake event emission and Activator-level logs are not directly exposed, Item Job Events act as the closest observable layer to validate the end-to-end trigger behavior. You can use these events to monitor execution patterns, detect missed triggers, and build alerting or logging mechanisms around pipeline runs without needing to create a separate custom logging solution for the event mechanism itself.
Reference: Workspace monitoring overview - Microsoft Fabric | Microsoft Learn


I hope this information helps. Please do let us know if you have any further queries.
Thank you