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chetanhiwale
Helper III
Helper III

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

1 ACCEPTED SOLUTION
Anonymous
Not applicable

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

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3 REPLIES 3
NandanHegde
Super User
Super User

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 same




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here is a screenshot, where t1 is a lakehouse, But sqlendpoint  and semantic model is not generated. 

chetanhiwale_0-1733483478921.png

 

chetanhiwale_1-1733483645423.png

I also have admin permissions for the workspace

Anonymous
Not applicable

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

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