API Pagination: Making Billions of Products Scrolling Possible
Pagination is essential for managing large data sets in APIs, with cursor-based pagination offering better performance and consistency than offset-based methods, especially in fast-changing environments.
MAIN POINTS FROM TRANSCRIPT
- Pagination divides large data sets into smaller, manageable chunks to reduce server load and network traffic.
- Offset-based pagination is simple but can be slow and inconsistent with large, dynamic data sets.
- Cursor-based pagination uses index columns to maintain consistency and performance in fast-changing data sets.
- Key set and time-based pagination are cursor-based methods for efficiently retrieving data.
TAKEAWAYS
- Use pagination to improve API performance and responsiveness by sending data in batches.
- Offset-based pagination can lead to slow queries and inconsistent results with large data sets.
- Cursor-based pagination provides consistent results and better performance in dynamic environments.
- Implementing cursor-based methods is complex but beneficial for real-time and frequently updated data.