Forum Discussion
Mirrored Databricks Catalog - Semantic Models Don't Receive Schema Updates
So it seems like turning off the automatic sync helped.
We've not had issues since then. Following up on the audit log of databricks (query table system.access.audit ) also shows a lot fewer events for this user.Manual refreshes of any model still seem to be very intensive on API-calls, so when working with multiple developers, that's definitely something to keep in mind.
To turn off the automatic sync for the default model, you need to go to the settings of the SQL Analytics Endpoint, then default Semantic Model.
I've been digging around in the databricks logs and it looks like the API is completely saturated with requests since I turned on the automatic sync for the default model.
I have now turned this off and will give it some time to see if this solves this issue.
Curious if this resolved your issue, we have started recevining the same message over the last couple of days for a semantic model that has been working fine for weeks, no recent changes whatsoever. Also default semantic models for databricks mirroring catalogs and lakehouse are grayed out so I am not sure how to disable automatic sync for them, for the semantic model itself (non-deafult one) we had the refresh disabled from the beginning so I am quite unsure what is going on here.
Please keep us posted if you make any progress!
