Forum Discussion
Change all excel file connection strings from one semantic model workspace to a new owner/workspace
Thank you for responding to this request. We have a reasonably large desktop excel file (700 meg) with a couple of dozen connections to a single large power BI semantic model in owner A's power bi service workspace and need to change all table and pivot connection strings to owner B's workspace (identical semantic model - just moved its location). Is there a reasonably straightforward way to do this without recreating every table and pivot in the file using the new owner B workspace?
- Anonymous1 year ago
Hi bobsaved ,
If you want to modify the connection to the semantic model in Excel:Sorry, you can't modify all the connections in bulk, you can only change them manually one by one.
If you want to modify the data source connection in pbix:Then you can try to publish to Power BI Service first, and then use the Rebind Report in the REST API to rebind the report dataset.
Reports - Rebind Report - REST API (Power BI Power BI REST APIs) | Microsoft Learn
Best Regards,
Dino Tao
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
3 Replies
- Omid_MotamediseSuper User
700meg Excel file?!?!? how many rows of data in there?
- bobsavedNew Member
My bad. The pbix file is the 730 meg, excel file 77 meg. Any ideas how to change connection strings as noted?
- AnonymousNot applicable
Hi bobsaved ,
If you want to modify the connection to the semantic model in Excel:Sorry, you can't modify all the connections in bulk, you can only change them manually one by one.
If you want to modify the data source connection in pbix:Then you can try to publish to Power BI Service first, and then use the Rebind Report in the REST API to rebind the report dataset.
Reports - Rebind Report - REST API (Power BI Power BI REST APIs) | Microsoft Learn
Best Regards,
Dino Tao
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.