I want to write a logic to trigger adf pipeline in cqrs architecture so where can i write in shared folder or feature folder

In a CQRS architecture, the decision to write logic for triggering an Azure Data Factory (ADF) pipeline in a shared folder or a feature folder depends on the organization of your codebase and the specific responsibilities of each folder.

• Shared Folder: If the logic for triggering the ADF pipeline is intended to be reused across multiple features or modules, it would be appropriate to place it in a shared folder. This promotes code reuse and keeps your feature folders focused on their specific functionalities.
• Feature Folder: If the logic is specific to a particular feature or module and does not need to be shared with others, then it should be placed in the corresponding feature folder. This keeps the feature encapsulated and makes it easier to manage dependencies and logic related to that specific feature.

Ultimately, the choice should align with your architectural guidelines and the principles of separation of concerns that CQRS promotes.

Hi @Ashwini Kanjapur

Thank you for contacting to Microsoft QA.

It seems like you’re looking to determine the best place to implement the logic for triggering an Azure Data Factory (ADF) pipeline within a CQRS architecture, specifically whether to use a shared folder or a feature folder.

Generally, in a CQRS architecture, you might want to keep your commands (or write operations) organized based on features to improve modularity and maintainability. Therefore, implementing the logic in a feature folder is often the preferred approach. This way, functionalities related to a specific feature, including any data processing that needs to trigger an ADF pipeline, remain encapsulated.

That said, here are a few steps to get you started on triggering an ADF pipeline:

Setup the ADF Pipeline: Ensure you have already created your ADF pipeline that you want to trigger. You can reference this tutorial on creating a data factory and its pipelines: Create a data factory and pipeline.

Use a Trigger: In ADF, triggers can be event-based, schedule-based, or tumbling window triggers. If you want to trigger your pipeline based on specific events (like a message in a queue or changes in a storage account), you’d want to set up an event-based trigger.

Implementation: Depending on your programming environment (C#, for example), you can implement the triggering logic in your feature folder. Use the Azure Management libraries as mentioned in the documentation to create and manage triggers. For example, see how to create a trigger in ADF: Create a custom event trigger to run a pipeline.

Monitor Your Triggers and Pipelines: Make sure to check the execution and monitor logs to ensure that everything works as expected. You can find more information on monitoring here: Monitor pipelines.

Let me know if you need any more specific details, and I’d be happy to help!

References:

• Create a data factory and pipeline
• Create a custom event trigger to run a pipeline
• Monitor pipelines