Forum Discussion
Unable to create sql endpoint for lakehouse
I am trying to create a lakehouse in Fabric, but not able to create sql endpoint and semantic model. Do we need to enable some thing first before creating lakehouse
Hi chetanhiwale
Please open the lakehouse you have created. This will bring you to the Lakehouse Explorer page. If it displays a message bar like "Unable to create the SQL analytics endpoint." with a Retry button, just click the "Retry" button.
Reference: SQL analytics endpoint reprovisioning
SQL analytics endpoint reprovisioning
We offer the ability to retry SQL analytics endpoint provisioning directly within a lakehouse. Therefore if your initial provisioning attempt fails, you have the option to try again without the need to create an entirely new lakehouse. This feature empowers you to self-mitigate provisioning issues in convenient way in the UI avoiding the need for complete lakehouse re-creation.
Best Regards,
Jing
Community Support Team
3 Replies
Basically whenever you create a lakehouse, the SQL endpoint and Semantic model gets created automatically.
Can you confirm whether the lakehouse was created within your workspace?
If yes, can you share the screenshot for the samehere is a screenshot, where t1 is a lakehouse, But sqlendpoint and semantic model is not generated.
I also have admin permissions for the workspace
Hi chetanhiwale
Please open the lakehouse you have created. This will bring you to the Lakehouse Explorer page. If it displays a message bar like "Unable to create the SQL analytics endpoint." with a Retry button, just click the "Retry" button.
Reference: SQL analytics endpoint reprovisioning
SQL analytics endpoint reprovisioning
We offer the ability to retry SQL analytics endpoint provisioning directly within a lakehouse. Therefore if your initial provisioning attempt fails, you have the option to try again without the need to create an entirely new lakehouse. This feature empowers you to self-mitigate provisioning issues in convenient way in the UI avoiding the need for complete lakehouse re-creation.
Best Regards,
Jing
Community Support Team
