Deep dive into pg_try_advisory_xact_lock for leader election and job claiming in multi-instance deployments, covering lock granularity strategies (transactional vs session), hash collision math for composite lock keys, monitoring lock contention via pg_stat_activity, and the connection pool configuration (PgBouncer transaction mode gotchas) that makes this pattern production-ready — with benchmarks showing where advisory locks beat Redis SETNX and where they don't
title: "PostgreSQL Advisory Locks for Distributed Job Scheduling"
published: true
description: "Replace Redis and SQS with PostgreSQL advisory locks for distributed job scheduling. Benchmarks, lock strategies, and PgBouncer gotchas for 10K jobs/minute."
tags: postgresql, architecture, devops, cloud
canonical_url: https://blog.mvpfactory.co/postgresql-advisory-locks-for-distributed-job-scheduling
Sharing my experience in resolving persistent PostgreSQL scheduler hang issues by linking pg_locks and managing connections.
Introduction PostgreSQL uses MVCC (Multi-Version Concurrency Control) for concurrency...
PostgreSQL HA Risks, Replication Internals, & Rapid Branching Today's...
When your background jobs stop running, and the logs are silent, it's time for a deep dive. I discovered my APScheduler was…
Why HikariCP might not be enough and where PgBouncer steps in. 1. Why are Connections...
Using PostgreSQL's built-in logical replication slots with row filters and publication column lists (PG15+) to selectively…
