add-sql-dialect

To add a new SQL dialect to pycel2sql, run the scaffold script with your desired template, new dialect name, and class prefix. This automatically generates the necessary subclass templates and registration logic to integrate the new database engine.

SQL dialect extension adapts a Python library to support additional database systems by generating specific subclasses and registration logic. You need it when your project relies on a proprietary database or an unsupported backend like a specialized PostgreSQL variant.

Yes, extending SQL dialect support in pycel2sql integrates with continuous integration workflows. The Skill creates the necessary code templates and registration components to ensure new database engines function within your automated CI pipelines.

The best way to compare existing SQL dialects is by using the provided dialect comparison tables. These tables offer guidance on selecting the most appropriate base dialect to scaffold your new database engine support from.

Yes, you can use this approach to add SQL dialect support for proprietary database systems. The Skill generates subclass templates and registration logic, allowing pycel2sql to adapt to your specific proprietary backend.

No, you do not need to manually write registration logic when extending pycel2sql with new SQL dialects. The Skill automatically creates the necessary components and registration logic for the new database engine.