The article discusses the hidden challenges of using PostgreSQL as a job queue at scale, explaining how the common implementation pattern can lead to performance issues like CPU spikes and vacuum problems. It analyzes why these issues emerge in production environments despite working fine in development, and suggests that while Postgres is suitable for small-scale job queues, dedicated queueing systems may be necessary for high-concurrency scenarios.
Background
Many developers use PostgreSQL as a job queue due to its ACID compliance and to reduce system complexity, but this approach can face significant scaling challenges. The common pattern involves using SELECT FOR UPDATE SKIP LOCKED to manage concurrent job processing.
- Source
- Lobsters
- Published
- May 7, 2026 at 06:51 PM
- Score
- 7.0 / 10