redis,celery,django-celery,celery-task,celerybeat
Wrong task name. This got fixed by changing the task decorator to @celery_app1.task(name='tasks.rank_all') and tweaking my beat schedule to include the correct name: CELERYBEAT_SCHEDULE = { 'tasks.rank_all': { 'task': 'tasks.rank_all', 'schedule': timedelta(seconds=30), }, } ...
python,celery,celery-task,celerybeat
So, as per your comment, you need to maintain one connection per thread. Why not to use a thread storage then? It should be a safe solution in your case. from threading import local thread_storage = local() def get_or_create_conntection(*args, **kwargs): if not hasattr(thread_storage, 'connection'): thread_storage.connection = Connection(*args, **kwargs) return thread_storage.connection...
celery,django-celery,database-deadlocks,celerybeat
My problem was that I had all of my workers started with -B parameter which turned each worker in a periodic task scheduler: -B, --beat Also run the celery beat periodic task scheduler. Please note that there must only be one instance of this service. As a result, the scheduled...
python,python-2.7,celery,celerybeat
To answer your 2 questions: If you run several celerybeat instances you get duplicated tasks, so afaik you should have only single celerybeat instance. I'm using supervisord as you mentioned to run celery workers and celerybeat workers as deamon so they should always be up & running. my supervisord config:...
python-2.7,celery,celery-task,celerybeat
Yes, if you don't need to worry about overall throughput it is possible to create a separate queue and have a dedicated worker with concurrency set to 1. You can create as many queues as you want and configure which of those queues each worker receives messages from. When starting...
django,celery,django-celery,celery-task,celerybeat
You'll want to make use of ETA. Read that section of the docs as it'll have more information. However, your code will look something like this: from datetime import datetime, timedelta send_date = datetime.utcnow() + timedelta(days=2) email_user.apply_async([user], eta=send_date) ...
python,scheduled-tasks,celerybeat
From your comment: function(argument)-> what is workers execute. function(arg1), function(arg2) .... I want this: you can accomplish this work in many ways, for this argument should be an iterator e.g. list, tuple: 1) Suppose if your function don't return any value just process argi ∈ arguments (for example prints) then...
django,debian,celery,virtualenv,celerybeat
Based on Chris's answer, the solution how to restart supervisord program without sudo permission: You have to edit supervisord.conf to change socket permissions (in my case located at /etc/supervisor/supervisord.conf] [unix_http_server] file=/var/run//supervisor.sock ; (the path to the socket file) chmod=0766 ; sockef file mode (default 0700) Then you have to make...
python,django,celery,celerybeat
Ok, so i figured it out. Following is my whole setup, settings and how to run celery, for those who might be wondering about same thing as my question did. Settings CELERY_TIMEZONE = TIME_ZONE CELERY_ACCEPT_CONTENT = ['json', 'pickle'] CELERYD_CONCURRENCY = 2 CELERYD_MAX_TASKS_PER_CHILD = 4 CELERYD_PREFETCH_MULTIPLIER = 1 # celery queues...
python,celery,cron-task,celerybeat,periodic-task
The problem was that I should have imported absolute_import from __future__ in celeryconfig.py Doing this solved the problem. from __future__ import absolute_import ...