Reputation: 3365
How can I delete all pending tasks without knowing the task_id
for each task?
Upvotes: 256
Views: 221851
Reputation: 11
I think that may have solved it. the old tasks were still in django-celery-beat>periodic tasks in my django admin, so go to django admin page and delete all of them, then if you are in docker container, restart the it all the problem solved
Upvotes: 0
Reputation: 515
For Celery 5.0+, to do it from the CLI and to target a specific queue:
celery -A APP_NAME purge --queues QUEUE_NAME
Add -f
option to the end to skip the confirmation step if you're trying to do it in on step like I was.
Upvotes: 6
Reputation: 480
For Celery Version 5.0+ with RabbitMQ as broker
We need establish a new connection from program to broker first, and bind the connection with the queues to purge.
# proj/celery.py
from celery import Celery
app = Celery('proj')
from proj.celery import app
queues = ['queue_A', 'queue_B', 'queue_C']
with app.connection_for_write() as conn:
conn.connect()
for queue in queues:
count = app.amqp.queues[queue].bind(conn).purge()
print(f'Purge {queue} with {count} message(s)')
Upvotes: 3
Reputation: 2374
If you want to remove all pending tasks and also the active and reserved ones to completely stop Celery, this is what worked for me:
from proj.celery import app
from celery.task.control import inspect, revoke
# remove pending tasks
app.control.purge()
# remove active tasks
i = inspect()
jobs = i.active()
for hostname in jobs:
tasks = jobs[hostname]
for task in tasks:
revoke(task['id'], terminate=True)
# remove reserved tasks
jobs = i.reserved()
for hostname in jobs:
tasks = jobs[hostname]
for task in tasks:
revoke(task['id'], terminate=True)
Upvotes: 10
Reputation: 2178
celery 4+ celery purge command to purge all configured task queues
celery -A *APPNAME* purge
programmatically:
from proj.celery import app
app.control.purge()
all pending task will be purged. Reference: celerydoc
Upvotes: 4
Reputation: 2626
For celery 3.0+:
$ celery purge
To purge a specific queue:
$ celery -Q queue_name purge
Upvotes: 157
Reputation: 1003
When using worker with -Q parameter to define queues, for example
celery worker -Q queue1,queue2,queue3
then celery purge
will not work, because you cannot pass the queue params to it. It will only delete the default queue.
The solution is to start your workers with --purge
parameter like this:
celery worker -Q queue1,queue2,queue3 --purge
This will however run the worker.
Other option is to use the amqp subcommand of celery
celery amqp queue.delete queue1
celery amqp queue.delete queue2
celery amqp queue.delete queue3
Upvotes: 37
Reputation: 2704
1. To properly purge the queue of waiting tasks you have to stop all the workers (http://celery.readthedocs.io/en/latest/faq.html#i-ve-purged-messages-but-there-are-still-messages-left-in-the-queue):
$ sudo rabbitmqctl stop
or (in case RabbitMQ/message broker is managed by Supervisor):
$ sudo supervisorctl stop all
2. ...and then purge the tasks from a specific queue:
$ cd <source_dir>
$ celery amqp queue.purge <queue name>
3. Start RabbitMQ:
$ sudo rabbitmqctl start
or (in case RabbitMQ is managed by Supervisor):
$ sudo supervisorctl start all
Upvotes: 2
Reputation: 16455
From the docs:
$ celery -A proj purge
or
from proj.celery import app
app.control.purge()
(EDIT: Updated with current method.)
Upvotes: 418
Reputation: 3184
In Celery 3+
http://docs.celeryproject.org/en/3.1/faq.html#how-do-i-purge-all-waiting-tasks
CLI
Purge named queue:
celery -A proj amqp queue.purge <queue name>
Purge configured queue
celery -A proj purge
I’ve purged messages, but there are still messages left in the queue? Answer: Tasks are acknowledged (removed from the queue) as soon as they are actually executed. After the worker has received a task, it will take some time until it is actually executed, especially if there are a lot of tasks already waiting for execution. Messages that are not acknowledged are held on to by the worker until it closes the connection to the broker (AMQP server). When that connection is closed (e.g. because the worker was stopped) the tasks will be re-sent by the broker to the next available worker (or the same worker when it has been restarted), so to properly purge the queue of waiting tasks you have to stop all the workers, and then purge the tasks using celery.control.purge().
So to purge the entire queue workers must be stopped.
Upvotes: 8
Reputation: 22842
In Celery 3+:
CLI:
$ celery -A proj purge
Programatically:
>>> from proj.celery import app
>>> app.control.purge()
http://docs.celeryproject.org/en/latest/faq.html#how-do-i-purge-all-waiting-tasks
Upvotes: 20
Reputation: 4792
I found that celery purge
doesn't work for my more complex celery config. I use multiple named queues for different purposes:
$ sudo rabbitmqctl list_queues -p celery name messages consumers
Listing queues ... # Output sorted, whitespaced for readability
celery 0 2
[email protected] 0 1
[email protected] 0 1
apns 0 1
[email protected] 0 1
analytics 1 1
[email protected] 0 1
bcast.361093f1-de68-46c5-adff-d49ea8f164c0 0 1
bcast.a53632b0-c8b8-46d9-bd59-364afe9998c1 0 1
celeryev.c27b070d-b07e-4e37-9dca-dbb45d03fd54 0 1
celeryev.c66a9bed-84bd-40b0-8fe7-4e4d0c002866 0 1
celeryev.b490f71a-be1a-4cd8-ae17-06a713cc2a99 0 1
celeryev.9d023165-ab4a-42cb-86f8-90294b80bd1e 0 1
The first column is the queue name, the second is the number of messages waiting in the queue, and the third is the number of listeners for that queue. The queues are:
The analytics task is a brute force tasks that worked great on small data sets, but now takes more than 24 hours to process. Occasionally, something will go wrong and it will get stuck waiting on the database. It needs to be re-written, but until then, when it gets stuck I kill the task, empty the queue, and try again. I detect "stuckness" by looking at the message count for the analytics queue, which should be 0 (finished analytics) or 1 (waiting for last night's analytics to finish). 2 or higher is bad, and I get an email.
celery purge
offers to erase tasks from one of the broadcast queues, and I don't see an option to pick a different named queue.
Here's my process:
$ sudo /etc/init.d/celeryd stop # Wait for analytics task to be last one, Ctrl-C
$ ps -ef | grep analytics # Get the PID of the worker, not the root PID reported by celery
$ sudo kill <PID>
$ sudo /etc/init.d/celeryd stop # Confim dead
$ python manage.py celery amqp queue.purge analytics
$ sudo rabbitmqctl list_queues -p celery name messages consumers # Confirm messages is 0
$ sudo /etc/init.d/celeryd start
Upvotes: 10