Databases & connectors

How SQL Server and MySQL actions are converted

Flow Migrator now recognizes common SQL Server and MySQL row/table patterns and maps them to native Power Automate connector actions where the source action provides enough information to choose a safe target.

7 min readUpdated May 22, 2026SQL ServerMySQLdatabase
Quick answer
In shortSee how Flow Migrator maps recognizable database CRUD patterns to SQL Server and MySQL Power Automate actions.
Most likely causeFor SQL Server and MySQL, the strongest mappings are table and row CRUD operations. Recognized patterns can map to get tables, get rows, get row, insert row, update row, and delete row actions.
What to do nextConfirm the connector family first, then test the target connection before you rely on the exported flow.

Supported database patterns

For SQL Server and MySQL, the strongest mappings are table and row CRUD operations. Recognized patterns can map to get tables, get rows, get row, insert row, update row, and delete row actions.

Stored procedure and raw-query patterns need more review because connector support, parameters, gateway access, and return shapes differ across customer environments.

  • Query rows maps to Get rows when table and filter information are clear.
  • Get row maps to Get row when a primary key or row identifier can be identified.
  • Create, update, and delete map best when target table and row identity are explicit.
  • On-premises databases normally require gateway planning and connection validation.

Why some database rows remain partial

Database actions become partial when the source query is too custom, the row identifier is unclear, the table schema is unknown, or the source provider uses OLE DB/ODBC instead of a native connector family.

Partial does not mean the workflow is a poor migration candidate. It means the database step should be validated with the customer database owner before import.

What to validate with the customer

  1. Confirm the destination database connector and whether it is cloud or on-premises.
  2. Confirm table names, primary keys, and column mappings.
  3. Confirm gateway availability, credentials, and driver requirements.
  4. Test the generated flow in a non-production environment before using it in production.

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