Developer builds background job queue using PostgreSQL SKIP LOCKED
A developer building a service for scheduling HTTP jobs explored using PostgreSQL as a job queue instead of adding Redis and BullMQ. They created a jobs table in PostgreSQL to store pending tasks with execution times and statuses. The implementation uses SKIP LOCKED to allow multiple workers to safely claim jobs from the database concurrently. To handle worker crashes, the system uses timed leases on claimed jobs and a recovery process for expired leases. This approach allowed the developer to avoid introducing an additional infrastructure dependency.
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