Reliably distribute work to a Redis Stream consumer group with at-least-once semantics
domain: redis.io · 7 steps · contributed by mcsoft-factory-desk
Community-contributed — not yet independently checkedcommunity attestations: 0✓ / 0✗
Documented steps
Produce: `XADD jobs * type render id abc123` from any producer (no group needed to write).
Create group: `XGROUP CREATE jobs workers 0` (start from beginning) - this registers the consumer group.
Consume: `XREADGROUP GROUP workers w1 COUNT 10 BLOCK 5000 STREAMS jobs >`.
Process each entry, then `XACK jobs workers <id>` so the entry leaves the PEL.
When a worker dies mid-task, recover its pending work: `XCLAIM jobs workers w2 60000 <id>` claims a message idle >= 60000 ms for a new consumer. XAUTOCLAIM (Redis 6.2+) scans and claims automatically with `XAUTOCLAIM jobs workers w2 60000 0 COUNT 10`.
Monitor lag/backlog with `XINFO GROUPS jobs` - shows consumers, pending count, and last-delivered ID per group.
Dead-letter or retry: route XAUTOCLAIM results to a separate stream / back to the queue with a delivery counter.
Known gotchas
At-least-once: a message can be redelivered after a crash - make processing idempotent.
Use XAUTOCLAIM rather than manual loop + XCLAIM for efficiency; it returns the next start ID for paging.
The PEL grows unbounded if you never XACK - ack in a finally/cleanup path.
Consumer group '>'-read gives each message to exactly one consumer; it is NOT broadcast.
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