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How to Return Values from RabbitMQ Consumer Business to Frontend

To return values from a RabbitMQ consumer to the frontend, you can use an HTTP endpoint and a database or Redis cache:

  1. Set Up Database/Redis: Store task details including ID, status (e.g., processing, completed, error), result, and timestamps.

  2. Modify Consumer:

  3. When receiving a message, extract the task ID.

  4. Process the task, then update the database/Redis with the result and status.

  5. Create API Endpoint: Implement /api/task/{taskId} to retrieve the status and result for a given task ID.

  6. Frontend Integration:

  7. After sending a task, return the task ID to the frontend.
  8. Use JavaScript’s setInterval or fetch with delay to periodically check the endpoint until the task completes.

This approach decouples the frontend from RabbitMQ, ensuring reliable and asynchronous communication of results.

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5 responses to “How to Return Values from RabbitMQ Consumer Business to Frontend”

  1. Great solution! Separating concerns by handling task processing in the consumer, storing results in a database/Redis, and exposing them via an API makes the system scalable and maintainable. The frontend polling with JavaScript works well for user feedback.

  2. This article solves a common problem in asynchronous communication. Storing task details in a database or Redis and using an HTTP endpoint ensures that the frontend can reliably check task status without direct RabbitMQ dependency.

  3. Thanks for sharing this solution! Using Redis or a database to store task details and an API endpoint to retrieve results is a robust approach. The frontend integration with JavaScript makes it user-friendly.

  4. I found this guide very helpful. The step-by-step instructions on modifying the consumer, setting up the database, and creating the API endpoint are easy to follow. It’s a great way to decouple the frontend from RabbitMQ.

  5. This article provides a clear and effective method to return values from RabbitMQ consumers to the frontend. Using a database or Redis cache along with an API endpoint is a reliable approach.

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