fabric-sql-deploy

Automating SQL DDL deployment to a Microsoft Fabric Warehouse is achieved by connecting to the T-SQL endpoint using pyodbc and Azure AD authentication. This process supports the automated execution of schemas, views, and stored procedures.

Yes, you can use Azure AD authentication to execute SQL scripts on a Fabric Warehouse. The deployment process utilizes the msal library for authentication and pyodbc for establishing the T-SQL endpoint connectivity required to run the scripts.

To deploy specific SQL files or schemas, you can use target selection features that allow deploying to a full schema, individual views, procedures, or specific files. This ensures only the selected DDL scripts are executed on the Fabric Warehouse.

Microsoft Fabric Warehouse supports specific SQL DDL syntax and has known unsupported features. Compatibility notes are provided during the deployment process to detail what SQL features are supported and unsupported by the Fabric Warehouse environment.

You can verify deployed scripts by checking them against the INFORMATION_SCHEMA. The deployment process includes confirmation gates and provides informational feedback for each script deployment to ensure successful execution.

Yes, pyodbc is required to automate SQL script deployment to Microsoft Fabric. It provides the necessary T-SQL endpoint connectivity to the Fabric Warehouse, complementing the msal dependency used for Azure AD authentication.