How do you implement pagination in REST API calls within Mule?

• A. Hard-code the page size on the backend for every request.
• B. Mule does not support REST pagination.
• C. Accept page/size or token, pass through to the backend, and construct a paginated response; DataWeave can map the response to a paginated structure.
• D. Use a custom Java pagination library placed in a separate jar.

Answer: (C)

Pagination in REST API calls in Mule is best achieved by accepting paging instructions from the client (such as page/size or a pager token), passing those instructions through to the backend, and then shaping the backend results into a consistent paginated response. DataWeave can map the backend payload into a standard paginated structure, including the items and metadata like total count, current page, page size, and possibly next/previous links. This approach keeps the API flexible and scalable, as the backend handles data slicing and the API layer presents results in a uniform format.

Hard-coding the page size eliminates flexibility, and Mule does support REST pagination through request parameters and response transformation. A separate custom Java library isn’t necessary when DataWeave can perform the required mapping and you can rely on the backend or Mule to handle the actual data paging.