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A multiprocessing distributed task queue for Django based on Django-Q

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Hi, I'm using docker-compose to containerize two services, the main app service to queue tasks and the qcluster service to create qcluter. I'm using sqlite orm as a the borker....

Maybe this is a naive idea, but it's a little inconvenient to open two terminals, one for `python manage.py runserver ` and another for `pythyon manage.py qcluster`. If the server...

We are using a Oracle database, and using the ORM cluster: ```py Q_CLUSTER = { 'name': 'DjangORM', 'workers': 4, 'timeout': 90, 'retry': 120, 'queue_limit': 50, 'bulk': 10, 'orm': 'default', 'log_level':...

I'm trying to write a decorator that I can use to designate functions to be run via DjangoQ2. However, this decorator is causing infinite tasks to become enqueued. I'm worried...

I mean something like Celery's `AsyncResult(task_id).state`.

It would apply to all tasks generated by this schedule, but wouldn't have to apply to the whole cluster. AFAICT, there's no workaround here.

Besides Django-Q sometimes completely freezes up (admin panel available, although tasks are not running), sometimes Queued tasks section in admin panel is full of queued tasks that are queued to...

This updates the docs back to django-q to stay consistent.

Thank you for taking over maintaining this project! I'm really enjoying having an alternative to Celery to play with, and my end goal is a simple containerised setup where I...