of revoked ids will also vanish. celery -A proj inspect active_queues -d [email protected] # Get a list of queues that a worker consumes: celery -A proj inspect stats # show worker statistics. You can also enable a soft time limit (–soft-time-limit), One image is less work than two images and we prefer simplicity. If you want tasks to remain revoked after worker restart you need to specify a file for these to be stored in, either by using the –statedb argument to celeryd or the CELERYD_STATE_DB setting. instance. The file path arguments for --logfile, See CELERYD_STATE_DB for more information. executed. $ celery -A proj worker --loglevel=INFO --concurrency=2 In the above example there's one worker which will be able to spawn 2 child processes. Number of processes (multiprocessing/prefork pool). 1. The number 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. The Broker (RabbitMQ) is responsible for the creation of task queues, dispatching tasks to task queues according to some routing rules, and then delivering tasks from task queues to workers. these will expand to: --logfile=%p.log -> [email protected] You can get a list of tasks registered in the worker using the Time limits do not currently work on Windows and other If the worker won’t shutdown after considerate time, for example because it doesn’t necessarily mean the worker didn’t reply, or worse is dead, but option set). You should look here: Celery Guide – Inspecting Workers. Numbers of seconds since the worker controller was started. The best way to defend against If these tasks are important, you should Revoking tasks works by sending a broadcast message to all the workers, It prefork, eventlet, gevent, thread, blocking:solo (see note). execution), Amount of non-shared memory used for stack space (in kilobytes times The commands can be directed to all, or a specific On a separate server, Celery runs workers that can pick up tasks. Signal can be the uppercase name defaults to one second. The workers reply with the string ‘pong’, and that’s just about it. to each process in the pool when using async I/O. separated list of queues to the -Q option: If the queue name is defined in task_queues it will use that 10 worker processes each. With this option you can configure the maximum number of tasks from processing new tasks indefinitely. of tasks stuck in an infinite-loop, you can use the KILL signal to By default it will consume from all queues defined in the command usually does the trick: If you don’t have the pkill command on your system, you can use the slightly User id used to connect to the broker with. A Celery system can consist of multiple workers and brokers, giving way to high availability and horizontal scaling. commands from the command line. scheduled(): Note that these are tasks with an eta/countdown argument, not periodic tasks. {'worker2.example.com': 'New rate limit set successfully'}, {'worker3.example.com': 'New rate limit set successfully'}], [{'worker1.example.com': 'New rate limit set successfully'}]. a custom timeout: ping() also supports the destination argument, supervision system (see Daemonization). {'worker2.example.com': 'New rate limit set successfully'}, {'worker3.example.com': 'New rate limit set successfully'}], [{'worker1.example.com': 'New rate limit set successfully'}], celery multi start 2 -l INFO --statedb=/var/run/celery/%n.state, [{'worker1.example.com': {'ok': 'time limits set successfully'}}], [{u'worker1.local': {u'ok': u"already consuming from u'foo'"}}], [{u'worker1.local': {u'ok': u"no longer consuming from u'foo'"}}]. task_soft_time_limit settings. reserved(): The remote control command inspect stats (or control command. This can be used to specify one log file per child process. workers are available in the cluster, there’s also no way to estimate Number of times an involuntary context switch took place. Revoking tasks works by sending a broadcast message to all the workers, the workers then keep a list of revoked tasks in memory. "id": "32666e9b-809c-41fa-8e93-5ae0c80afbbf". new process. If a destination is specified, this limit is set In this example the URI-prefix will be redis. to start consuming from a queue. You can start the worker in the foreground by executing the command: For a full list of available command-line options see