bug: a database outage longer than ~30 seconds permanently stops cron schedules (self-hosted)
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Ninguém assumiu esta issue ainda.
- #5128 de @umeraamir69 — fechado sem integrar
Avaliação
- Dificuldade
- 4/5
- Tempo estimado
- 3-5 dias
- Facilidade para iniciantes
- 35/100
- Tipo de issue
- Bug
- Clareza
- Claramente especificada
- Status de atividade
- Ativa
- Stack de tecnologia
- docker-compose, postgresql, redis, typescript
- Domínio
- backend
Direção de pesquisa
Start with the retry budget in internal-packages/schedule-engine/src/engine/workerCatalog.ts and the finalAttempt TODO in internal-packages/schedule-engine/src/engine/index.ts, then follow ScheduleEngine.triggerScheduledTask to registerNextTaskScheduleInstance. Look at recoverSchedulesInEnvironment as the existing reconciliation logic. Done means a schedule survives a database outage of about 75 seconds in a four-schedule test and keeps firing afterwards, with no duplicate runs. The fix direction is a maintainer decision, so check the thread before starting.
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Descrição
Provide environment information
- Self-hosted Trigger.dev v4.8.3 (Docker Compose), linux/arm64
- External PostgreSQL reached through a TCP proxy, Redis 7
- The same code is in v4.8.5 and on
mainas of 2026-11-12
Describe the bug
A short PostgreSQL outage permanently stops cron schedules. Ours lasted about 35 seconds and stopped 8 of 123 active schedules. They never fired again until we called the admin recover endpoint (/admin/api/v1/environments/{id}/schedules/recover). Nothing in the dashboard shows that a schedule has stopped.
Why it happens:
- Each tick is one schedule-engine worker job,
schedule.triggerScheduledTask. The next tick is only registered at the end of a successful handler (ScheduleEngine.triggerScheduledTask→registerNextTaskScheduleInstance). scheduleWorkerCataloggives that jobretry: { maxAttempts: 5 }(internal-packages/schedule-engine/src/engine/workerCatalog.ts). With the redis-worker defaults (factor 2, 1 s base, randomized) all five attempts finish in about 15–30 seconds.- If PostgreSQL is unreachable for that whole window, the job goes to the dead-letter queue. No job exists for the instance any more, so nothing registers the next tick. The chain is broken for good.
- The handler is called with
finalAttempt: false, // TODO: implement retry logic(internal-packages/schedule-engine/src/engine/index.ts), so there is no last-attempt fallback.
Reproduction repo
No repo needed; this reproduces on a stock self-hosted install.
To reproduce
- Self-host v4.8.3 with a few
* * * * *schedules in a production environment. - Stop PostgreSQL for about 75 seconds, starting just before a minute boundary. Then start it again.
- Check Redis. Most schedules now have no entry in
schedule:schedule:{queue:schedule-engine-worker:}itemsand one in…dlq. They never fire again.
In an isolated test with four schedules, three stopped permanently after a 76 second outage.
Suggested fix
- Reconcile periodically. Run the existing
recoverSchedulesInEnvironmentlogic on a timer for all active, non-development instances, usingenqueueOnceso a live job is never replaced. This makes the chain self-healing whatever the cause. We run a 60 second loop as a local patch; with it, a 12 minute outage recovered six seconds after PostgreSQL returned, with no duplicate runs. - A longer retry budget for this job, for example
maxAttempts: 15withmaxTimeoutInMs: 60_000(about 9–10 minutes). A short outage then costs a late tick instead of a lost schedule.calculateNextSchedulableOccurrencealready skips expired slots, so there is no backlog replay. - An idempotency key on the scheduled trigger (instance id + schedule time). Today a retry after "trigger succeeded, next-tick registration failed" can trigger the same slot twice, and a longer retry budget makes that more likely.
- Make it visible. A metric or dashboard state for "active schedule with no pending job" would surface this.
Additional information
The webapp log at the time showed Failed to trigger scheduled task and then Failed to register schedule instance, both with Prisma Can't reach database server, for each affected instance. The dead-letter entries carry the same error with attempt: 4.
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