Offset Pagination vs. Keyset Pagination for Deep-Page Retrieval

Pagination Strategy for Large Datasets

When implementing pagination in PostgreSQL for tables with millions of rows, the choice of retrieval method impacts both performance and user experience. The primary constraint is the need to maintain consistent response times as users navigate deeper into the result set.

Performance and Navigation Trade-offs

Offset-based pagination allows users to jump to a specific page number, but it requires the database to scan and discard all preceding rows. In contrast, keyset pagination uses a cursor based on a unique, sorted column to fetch the next set of results, ensuring constant-time performance regardless of the page depth.

However, keyset pagination restricts navigation to sequential movements and requires a strictly ordered, non-null index to remain efficient.

• Offset: Supports random page access; performance degrades linearly.
• Keyset: Supports sequential access; performance remains stable.

Which approach is more sustainable for a dataset where deep-page access is frequent but random page jumping is a secondary requirement? Under what specific indexing conditions does keyset pagination lose its performance advantage over offset?