for api changes, what if we move the trigger pipeline code to shared?

Moving the trigger pipeline code to a shared location in Azure Data Factory (ADF) could have several implications, especially in the context of a CQRS (Command Query Responsibility Segregation) architecture. Here are some considerations:

1. Reusability: By placing the trigger code in a shared location, you can promote reusability across different features or services. This can reduce duplication and make maintenance easier, as changes to the trigger logic would only need to be made in one place.
2. Version Control: Shared code can be managed more effectively with version control systems. This allows for better tracking of changes and easier rollback if issues arise after an API change.
3. Dependency Management: Ensure that all dependencies required by the shared trigger code are properly managed. If the shared code relies on specific versions of libraries or services, these dependencies need to be documented and maintained.
4. Testing and Validation: Moving to a shared codebase may require additional testing to ensure that the trigger behaves correctly across all features that utilize it. This is especially important in a CQRS architecture where different components may have different requirements.
5. Impact on Existing Features: Consider how existing features that currently use the trigger will be affected. Ensure that the transition to shared code does not disrupt current functionality.
6. Performance: Depending on how the shared trigger is implemented, there may be performance implications. Ensure that the shared code is optimized for the expected load and usage patterns.

In summary, moving the trigger pipeline code to a shared location can enhance maintainability and reusability but requires careful consideration of dependencies, testing, and potential impacts on existing features.

References:

• Plan your migration from Azure Data Factory