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Limitations in Microsoft Fabric mirrored databases from Azure Databricks (Preview)

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This article lists current limitations with mirrored Azure Databricks in Microsoft Fabric.

Network

  • Azure Databricks workspaces shouldn't be behind a private endpoint.
  • Storage accounts containing unity catalog data can't be behind a firewall.
  • Azure Databricks IP Access lists aren't supported.

Supported Spark Versions

Fabric Runtime Version needs to be at least Spark 3.4 Delta 2.4. Verify in Workspace Settings, Data Engineering/Science, Spark Settings, Environment Tab.

Limitations

  • Mirrored Azure Databricks item doesn't support renaming schema, table, or both when added to the inclusion or exclusion list.
  • Azure Databricks workspaces shouldn't be behind a private endpoint.
  • Azure Data Lake Storage Gen 2 account that is utilized by your Azure Databricks workspace must also be accessible to Fabric.

The following table types are not supported:

  • Tables with RLS/CLM policies
  • Lakehouse federated tables
  • Delta sharing tables
  • Streaming tables
  • Views, Materialized views

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