Lakehouse Shortcut to Data Warehouse not working in notebooks after refresh of SQL Endpoint

[mrtnhd]

I am using data warehouse tables in notebooks. My initial setup was to attach the warehouse to the notebook and read the table. This is no longer possible and I am therefore creating lakehouse schema shortcut (using preview feature with lakehouse schemas) to data warehouse schema. This setup has been working until I started refreshing the sql endpoints of the lakehouse shortcuts (because they otherwise have outdated data or are not working when using sql endpoint) with 
uri = f"/v1.0/myorg/lhdatamarts/{sqlendpoint_id}"
payload = {"commands":[{"$type":"MetadataRefreshExternalCommand"}]}
response = client.post(uri, json=payload)

Now I get this error: [DELTA_FEATURES_PROTOCOL_METADATA_MISMATCH] Unable to operate on this table because the following table features are enabled in metadata but not listed in protocol: invariants.

The sql endpoint of the lakehouse shortcut works fine. I can also preview the data in the lakehouse (not sql endpoint). I have tried reading with pyspark and t-sql in the notebook. They both throw the same error.

Any idea how to fix this?

[Anonymous · Accepted solution]

Hi @mrtnhd ,

If your goal is to read/write data from/to the warehouse then check this spark connector for Datawarehouse!
https://learn.microsoft.com/en-us/fabric/data-engineering/spark-data-warehouse-connector?tabs=pyspar...

You don't have to create shortcuts on top of your warehouse tables!
Hope this is helpful, If so please accept this answer!

[mrtnhd]

Thank you so much! That seems to solve my issue. It works fine in at least one notebook.