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Pagination in API responses splits large data sets into smaller, manageable chunks, enhancing performance and user experience. Here are key techniques:
1. Offset-Based Pagination
Uses offset and limit parameters to specify the starting point and the number of items to return. Example: GET /items?offset=20&limit=10.
Pros: Simple to implement.
Cons: Performance degrades with large offsets, and results can be inconsistent with data changes.
2. Page-Based Pagination
Uses page number and page size. Example: GET /items?page=2&pageSize=10.
Pros: User-friendly.
Cons: Similar issues as offset-based pagination.
3. Cursor-Based Pagination
Uses a cursor pointing to the last item of the previous page. Example: GET /items?cursor=abc123&limit=10.
Pros: Efficient for large datasets, consistent results.
Cons: Complex to implement.
4. Keyset-Based Pagination
Relies on a key like a unique identifier. Example: GET /items?lastItemId=123&limit=10.
Pros: Efficient, consistent.
Cons: Requires sequential keys, more complex.
Best practices include providing total item count, navigation links, ensuring consistent ordering, and using database indexing to improve performance.
Pagination in API responses is a technique used to manage and navigate large sets of data by dividing them into manageable chunks, or pages. This improves performance and usability by allowing clients to request smaller, more digestible pieces of data.
Common Pagination Techniques:
GET /items?offset=20&limit=10
GET /items?cursor=abc123&limit=10
GET /items?page=2&size=10
Each technique has its use case, with cursor-based pagination generally preferred for its efficiency with large datasets, while offset-based and page-based are simpler and easier for smaller datasets.