celery-tips.txt

* If you don’t care about the results of a task, be sure to set the ignore_result option, as storing results wastes time and resources:

@celery.task(ignore_result=True)
def mytask(...)
    something()

Results can even be disabled globally using the CELERY_IGNORE_RESULT setting.

* Or instead of routing it you could rate limit the task instead, so that only 10 tasks of this type can be processed in a minute (10/m):

CELERY_ANNOTATIONS = {
    'tasks.add': {'rate_limit': '10/m'}
}

If you are using RabbitMQ, Redis or MongoDB as the broker then you can also direct the workers to set a new rate limit for the task at runtime:

$ celery control rate_limit tasks.add 10/m
worker.example.com: OK
    new rate limit set successfully

* Disabling rate limits altogether is recommended if you don’t have any tasks using them. This is because the rate limit subsystem introduces quite a lot of complexity.

CELERY_DISABLE_RATE_LIMITS = True

* Workflow: http://docs.celeryproject.org/en/latest/userguide/canvas.html

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