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Queue processors
Zulip uses RabbitMQ to manage a system of internal queues. These are used for a variety of purposes:
-
Asynchronously doing expensive operations like sending email notifications which can take seconds per email and thus would otherwise timeout when 100s are triggered at once (E.g. inviting a lot of new users to a realm).
-
Asynchronously doing non-time-critical somewhat expensive operations like updating analytics tables (e.g. UserActivityInternal) which don't have any immediate runtime effect.
-
Communicating events to push to clients (browsers, etc.) from the main Zulip Django application process to the Tornado-based events system. Example events might be that a new message was sent, a user has changed their subscriptions, etc.
-
Processing mobile push notifications and email mirroring system messages.
-
Processing various errors, frontend tracebacks, and slow database queries in a batched fashion.
Needless to say, the RabbitMQ-based queuing system is an important part of the overall Zulip architecture, since it's in critical code paths for everything from signing up for account, to rendering messages, to delivering updates to clients.
We use the pika
library to interface with RabbitMQ, using a simple
custom integration defined in zerver/lib/queue.py
.
Adding a new queue processor
To add a new queue processor:
-
Define the processor in
zerver/worker/queue_processors.py
using the@assign_queue
decorator; it's pretty easy to get the template for an existing similar queue processor. This suffices to test your queue worker in the Zulip development environment (tools/run-dev.py
will automatically restart the queue processors and start running your new queue processor code). You can also run a single queue processor manually using e.g../manage.py process_queue --queue=user_activity
. -
So that supervisord will known to run the queue processor in production, you will need to add to to
normal_queues
inpuppet/zulip/manifests/base.pp
; the list there is used to generate/etc/supervisor/conf.d/zulip.conf
via a puppet template inapp_frontend.pp
.
The queue will automatically be added to the list of queues tracked by
scripts/nagios/check-rabbitmq-consumers
, so Nagios can properly
check whether a queue processor is running for your queue. You still
need to update the sample Nagios configuration in puppet/zulip_ops
manually.
Publishing events into a queue
You can publish events to a RabbitMQ queue using the
queue_json_publish
function defined in zerver/lib/queue.py
.
An interesting challenge with queue processors is what should happen
when queued events in Zulip's backend tests. Our current solution is
that in the tests, queue_json_publish
will (by default) simple call
the consume
method for the relevant queue processor. However,
queue_json_publish
also supports being passed a function that should
be called in the tests instead of the queue processor's consume
method. Where possible, we prefer the model of calling consume
in
tests since that's more predictable and automatically covers the queue
processor's code path, but it isn't always possible.
Clearing a RabbitMQ queue
If you need to clear a queue (delete all the events in it), run
./manage.py purge_queue <queue_name>
, for example:
./manage.py purge_queue user_activity
You can also use the amqp tools directly. Install amqp-tools
from
apt and then run:
amqp-delete-queue --username=zulip --password='...' --server=localhost \
--queue=user_presence
with the RabbitMQ password from /etc/zulip/zulip-secrets.conf
.