Forum Discussion
Required parameters are missing in the request data flow gen2 fabric
Hi Team,
I have created a Dataflow Gen2 in Microsoft Fabric with Dataverse as the source. When I run the dataflow independently, it executes successfully.
However, when I invoke the same dataflow from a pipeline and pass the Dataverse URL as a dynamic parameter, the execution fails.
Below is the error message for reference:
Error:
Required parameters are missing in the request
Dataflow refresh job failed with status: Failed.
3 Replies
- Dharma_Teja_MMicrosoft Employee
Thank you for the response v-saisrao-msft
I refresh and tried. It is failed again. I checked Data flow recent run logs i see below error.
Error:
There was a problem refreshing the dataflow: "Something went wrong, please try again later. If the error persists, please contact support.". Error code: ActionUserFailure.- v-saisrao-msftCommunity Support
Hi Dharma_Teja_M,
Thanks for the update. Since the Recent runs log only showing the generic ActionUserFailure error and no extra diagnostic details, I’d suggest opening a Support ticket so they can investigate further.
Create a Fabric and Power BI Support Ticket - Power BI | Microsoft Learn
Thank you.
- v-saisrao-msftCommunity Support
Hi Dharma_Teja_M,
Because the Dataflow runs successfully by itself, confirm that you're using a Dataflow Gen2 with CI/CD support and that Public Parameters are turned on. In the Pipeline's Dataflow activity, make sure the required Dataverse URL parameter appears under Dataflow parameters and has a value, since required parameters must be provided for the Dataflow to run. If you recently added or changed the parameter, select Refresh to load the latest parameter details. If the issue continues, review the Recent runs logs for the Dataflow, as the Pipeline activity may only show partial error details.
Use public parameters in Dataflow Gen2 (Preview) - Microsoft Fabric | Microsoft LearnParameterized Dataflow Gen2 - Microsoft Fabric | Microsoft Learn
Dataflow activity - Microsoft Fabric | Microsoft Learn
Thank you.