RabbitMQ / Editorial solution guide

Unacknowledged messages accumulate while workers stall

Separate slow effects, lost acknowledgment accounting and prefetch exposure before changing consumer capacity.

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Recognize the symptoms

Ready messages may be low while unacked remains near the configured window and customer-visible label completion stops. A process can remain alive and connected despite making no useful business progress.

Understand the likely causes

  • A handler may wait indefinitely on a dependency, queue deliveries in an unbounded local executor, lose completion-to-ack handoff or misuse channel-scoped tags. The configured per-consumer window can multiply across consumers.

Capture which deliveries remain owned

Record vhost, queue, queue type, consumer count, prefetch and the aligned ready/unacked trend. Correlate the same operation identities with handler start, external request and completion evidence. Low ready does not mean work finished; messages can simply be held by consumers. Distinguish a legitimate long operation from an unbounded wait and from a handler that never started after local dispatch. Preserve the first channel error and connection lifecycle evidence before restarting anything. A heartbeat proves a transport relationship under its rules, not that the business handler or an external provider is healthy.

Count the window at its actual scope

Under a declared per-consumer interpretation, two consumers with prefetch twenty can together hold forty unacknowledged deliveries. That is a delivery-count exposure, not forty worker threads and not a complete memory estimate. Include decoded object sizes, local queues and pending external requests. A larger prefetch cannot make a blocked dependency complete faster and can increase replay cost after failure. The local arithmetic checks a supplied full-window condition without reading broker state. Confirm the selected client and queue-type semantics before using a global application cap that was actually configured per consumer.

python Offline full-window exposure check
consumers = 2
prefetch_each = 20
observed_unacked = 40
declared_window = consumers * prefetch_each
assert observed_unacked == declared_window
print(declared_window)
Expected output
40

Forty is the declared combined count, not a queried broker value or a byte limit.

Inspect the effect-to-ack handoff

If effects finish but unacked does not fall, inspect the completion callback and the client-supported thread handoff. Acknowledgments must use the original channel context, and multiple acknowledgments must not cover unfinished deliveries. Unknown-delivery-tag errors can close a channel and create requeue churn that looks like repeated processing failure. If effects have not finished, bound dependency waits and define terminal handling rather than acknowledging early. A delivery acknowledgment timeout can close the channel under its policy; it does not automatically cancel a remote action already issued. Keep uncertain destination effects available for reconciliation.

Restore bounded progress without skipping responsibility

Choose a targeted correction for the observed cause: bounded remote waits, a limited local executor, correct channel ownership or a reviewed prefetch window. Preserve original identity when interrupted deliveries return. Do not force-ack unfinished work or purge queues to make unacked disappear. This guide changes no QoS setting and starts or stops no worker. Real acceptance after an authorized repair should show a bounded synthetic delivery completing its effect and then acknowledgment, followed by a crash/restart case that produces one accepted business result despite possible redelivery.

Verify the fix

Compare aligned unacked, completion and acknowledgment evidence with the same operation keys. Verify worker memory and dependency health remain bounded. Include an intentionally slow synthetic operation and a lost-acknowledgment schedule; low unacked alone is not success if the repair merely acknowledged work before its effect.

Keep it from recurring

  • Document per-consumer limits, processing concurrency and acknowledgment ownership together. Use finite external deadlines, preserve exact channel/attempt context in diagnostics and monitor business completion alongside transport liveness.

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