Hi,
I'd like to use a light weight dispatching system for a web server.
Basically some django post requests might require processing, which
should be done in the back ground due to its run times.
The results would be added to the django data base.
The browser could verify via AJAX requests whet
On Mon, Nov 28, 2011 at 11:14 AM, Gelonida N wrote:
> Hi,
>
> I'd like to use a light weight dispatching system for a web server.
>
> Basically some django post requests might require processing, which
> should be done in the back ground due to its run times.
>
> The results would be added to the
You don't need to roll your own... have a look at
https://github.com/dmgctrl/django-ztask It's based on ZeroMQ and really
lightweight compared to any alternative with a broker (yes, it's brokerless
but that's a good thing I think for most use cases which don't really need
a broker).
--
You re
Celery has a bunch of alternative brokers, depending on your
constrains you may not need something as "heavy" as RabbitMQ, you
could for example use db broker if you don't have many tasks, it is
slower but does not add a new server (apart from celery) to your
stack, other option is to use Redis as
I'm also using redis for both brokering and caching. So far, so good. My
use case consists in one HUGE (5 hours) task, and several tiny (30s or
less) scheduled tasks.
Cheers,
AT
On Mon, Nov 28, 2011 at 10:54 AM, Carlos Daniel Ruvalcaba Valenzuela <
clsdan...@gmail.com> wrote:
> Celery has a bun
Il giorno 28/nov/2011, alle ore 12:14, Gelonida N ha scritto:
> Hi,
>
> I'd like to use a light weight dispatching system for a web server.
>
> Basically some django post requests might require processing, which
> should be done in the back ground due to its run times.
>
> The results would be
On 11/28/2011 12:14 PM, Gelonida N wrote:
> Hi,
>
> I'd like to use a light weight dispatching system for a web server.
>
> Basically some django post requests might require processing, which
> should be done in the back ground due to its run times.
>
> The results would be added to the django d
There are plenty of tutorials about memory management with RabbitMQ. There are
mechanisms for setting the high watermark for memory to throttle producers.
You could look at the database backend for django-kombu. It might have a
smaller footprint. django-ztask looks interesting, but you don'
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