I have a RabbitMQ setup in which jobs are sent to an exchange, which passes them to a queue. A consumer carries out the jobs from the queue correctly in turn. However, these jobs are long processes (several minutes at least). For scalability, I need to be able to have multiple consumers picking a job from the top of the queue and executing it.
The consumer is running on a Heroku dyno called 'queue'. When I scale the dyno, it appears to create additional consumers for each dyno (I can see these on the RabbitMQ dashboard). However, the number of tasks in the queue is unchanged - the extra consumers appear to be doing nothing. Please see the picture below to understand my setup.
Am I missing something here?
Thanks
EDIT: I've discovered that the round robin dispatching is actually working, but only if the additional consumers are already running when the messages are sent to the queue. This seems like counterintuitive behaviour to me. If I saw a large queue and wanted to add more consumers, the added consumers would do nothing until more items are added to the queue.
To pick out the key point from the other answer, the likely culprit here is pre-fetching, as described under "Consumer Acknowledgements and Publisher Confirms".
Rather than delivering one message at a time and waiting for it to be acknowledged, the server will send batches to the consumer. If the consumer acknowledges some but then crashes, the remaining messages will be sent to a different consumer; but if the consumer is still running, the unacknowledged messages won't be sent to any new consumer.
This explains the behaviour you're seeing:
The solution is to specify the basic.qos
option in the consumer. If you set this to 1, RabbitMQ won't send a message to a consumer until it has acknowledged the previous message; multiple consumers with that setting will receive messages in strictly round-robin fashion.