Covers three pagination techniques for Amazon Aurora DSQL: OFFSET/LIMIT, cursor-based (keyset), and temporal. Explains why keyset pagination is the recommended approach for Aurora DSQL due to its optimistic concurrency control model, serverless billing per DPU, and 3,000-row transaction limit. Includes SQL and Python implementation of keyset pagination, composite index optimization using CREATE INDEX ASYNC, API layer integration with opaque cursor tokens, batch processing strategies, and five anti-patterns to avoid such as deep OFFSET pagination, COUNT(*) for total pages, and long-lived transactions.
Table of contents
Solution overviewPrerequisitesSolution walkthroughClean upConclusionAbout the authors67 Impressions