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thewisenerd08/01/20252 repliesview on HN

t1: select for update where status=pending, set status=processing

t2: update, set status=completed|error

these are two independent, very short transactions? or am i misunderstanding something here?

--

edit:

i think i'm not seeing what the 'transaction at start of processor' logic is; i'm thinking more of a polling logic

    while true:
      r := select for update
      if r is None:
        return
      sleep a bit
this obviously has the drawback of knowing how long to sleep for; and tasks not getting "instantly" picked up, but eh, tradeoffs.

Replies

diarrhea08/02/2025

Your version makes sense. I understood the OP's approach as being different.

Two (very, if indexed properly) short transactions at start and end are a good solution. One caveat is that the worker can die after t1, but before t2 - hence jobs need a timeout concept and should be idempotent for safe retrying.

This gets you "at least once" processing.

> this obviously has the drawback of knowing how long to sleep for; and tasks not getting "instantly" picked up, but eh, tradeoffs.

Right. I've had success with exponential backoff sleep. In a busy system, means sleeps remain either 0 or very short.

Another solution is Postgres LISTEN/NOTIFY: workers listen for events and PG wakes them up. On the happy path, this gets instant job pickup. This should be allowed to fail open and understood as a happy path optimization.

As delivery can fail, this gets you "at most once" processing (which is why this approach by itself it not enough to drive a persistent job queue).

A caveat with LISTEN/NOTIFY is that it doesn't scale due to locking [1].

[1]: https://www.recall.ai/blog/postgres-listen-notify-does-not-s...

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maxbond08/01/2025

They're proposing doing it in one transaction as a heartbeat.

> - If you find an unlocked task in 'executing', you know the processor died for sure. No heuristic needed

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