Forum Discussion
Faber1975
1 year agoFrequent Visitor
Unable to Update a GraphQLApi Definition using the Fabric management API
With Powershell code, I successfully worked out to create a GraphQLApi as described here: https://learn.microsoft.com/en-us/rest/api/fabric/graphqlapi/items/create-graphqlapi However, I am unabl...
Anonymous
1 year agoNot applicable
Hi Faber1975 ,
- Clear and Reconnect Linked Services
Head into your workspace settings and open the Linked services section. Remove any old or cached connections tied to your Lakehouse destination. Then, re-add the Lakehouse connection make sure you’re using the right authentication method (like AAD or service principal) that fits your workspace setup.
- Re-authenticate in Dataflow Settings
Don’t stop at just reconnecting the service. Go into your Dataflow Gen2 settings and re-enter your credentials there too. Even if the linked service looks fine, the dataflow itself might need a fresh authentication. Run a connection test to confirm everything’s working.
- Double-Check Permissions
Even if you’re listed as an Admin or Owner, it’s worth verifying that you have explicit Write permissions on the Lakehouse. Sometimes, row-level security or workspace policies can quietly block access in ways that aren’t obvious.
- Look for Expired Access Tokens
If your setup uses Service Principals or Managed Identities, check in Azure AD to make sure the tokens haven’t expired or been revoked. This can silently break connections and lead to unexpected CU usage.
- Update to the Latest Fabric Features
Microsoft occasionally rolls out backend fixes that resolve these kinds of issues. Try re-publishing your Dataflow, or even create a new Lakehouse destination from scratch to see if the problem clears up.
- Try a Different User Account
If you can, ask a teammate with similar permissions to recreate the connection and dataflow. This can help uncover tenant-level issues or consent problems tied to your account.
- Check Activity Logs for Hidden Errors
Go to Fabric > Admin Portal > Activity log and look for any permission or access errors that might not show up in the Dataflow UI. These logs can reveal what’s really going on behind the scenes.
If you’re still facing any issues after that, feel free to let us know and we can troubleshoot further together.
Regards,
Akhil.