I am not familiar with this setup. However, if you haven't check it, I
would use one or more tools to determine if your redis queue has any
problems. For example, if you have lots of requests per second and
redis forks itself and writes to disk, that might disrupt the queue.
Debugging async methods can require considerable effort and thought.
Personally, I would try to take a systematic approach and verify that
all parts of your system are working as intended (don't just assume that
they are).
In my opinion, your better options are to find someone familiar with
your setup and to use the celery monitoring tools (if they exist). You
can also use google to search for problems that might occur when using
celery with redis. If I recall correctly, there are some issues under
heavy load, but there are probably work arounds at this point.
--Jeff
On 11/12/12 9:27 AM, Samuel wrote:
Thanks Jeff,
I used celery backended by redis, not rabbitmq.
celery was used like:
@init_decorator
def view:
and in this decorator:
def init_decorator(*args, **kwargs):
celery_task.delay()
On Mon, Nov 12, 2012 at 11:23 PM, Jeff Van Voorst
<[email protected] <mailto:[email protected]>> wrote:
I don't know if this helps, but when I used celery I had to choose
an underlying implementation for queues and messaging. Can you
monitor the celery queue? It might be overrun, be a bottleneck, etc.
Also, it would be helpful to know where you are using celery in
the nginx + uwsgi stack. There is some documentation about ampq
with uwsgi, you could also look there if you are using celery in a
similar manner (maybe via RabbitMQ).
--Jeff
On 11/12/12 9:18 AM, Samuel wrote:
I used celery, but I think you didn't mean that. I used
processes, not threads. I didn't use the other async mode either.
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*???(Samuel)*
??: blog.shanbay.com <http://blog.shanbay.com>
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