<ul><li>PostgreSQL uses a specialized structure called MultiXact IDs to manage concurrent access while maintaining data consistency</li><li>MultiXacts can introduce unexpected performance challenges or delays during vacuum operations, making it essential to monitor their usage</li><li>MultiXact IDs are a secondary data structure that tracks multiple transactions holding locks on the same row</li><li>The disk space usage for the pg_multixact directories triggers aggressive autovacuum operations to prevent MultiXact wraparound</li><li>You can use monitoring metrics like MultiXact ID age, storage size, and wait events to identify performance bottlenecks and manage MultiXacts more effectively</li><li>Strategies like consistent vacuuming, optimizing memory settings, and minimizing long-running transactions can mitigate performance issues caused by MultiXacts</li><li>By managing MultiXacts effectively, you can ensure smooth database operations under heavy transactional loads while preventing performance degradation and costly interruptions</li></ul>

MultiXacts in PostgreSQL: usage, side effects, and monitoring

Discover more