Hey Javier,

Thanks for the reply. My problem with the logs in the past was that they
tended to make the task even slower (due to recursion) but I guess that's
probably because I didn't call the logging from the appropriate places in
the code.

To make things a little more complicated, the task involves writing a large
amount of data to a temp database, handling it and then saving some
resulting queries to the permanent DB. This makes it a tad harder to
analyze what goes on in the first part of the code.

I'll try logging again over the weekend and see how that works.. I just
wish there were third party apps and tools for debugging this sort of
problem.

Thanks again for your input.

Cheers,
AT

On Apr 3, 2012 3:47 PM, "Javier Guerra Giraldez" <jav...@guerrag.com> wrote:
>
> On Tue, Apr 3, 2012 at 8:21 AM, Andre Terra <andrete...@gmail.com> wrote:
> > I have some complex and database intensive asynchronous tasks running
under
> > celery which take a LONG time to complete and I'd just love to be able
to
> > keep track of the queries they generate in order to optimize and
possibly
> > remove the biggest bottlenecks.
>
> the easiest would be to write detailed logs, which _can_ be analysed
> in real time, not only 'after the fact'.
>
> my second idea would be to hack the log output so instead of writing
> to a file, it would store messages (probably with some structure) to
> some comfortable database.  I'd use Redis, but i guess MongoDB or even
> an SQL-based DB could work too.  then you can easily filter and
> aggregate times according to task type, when it happened, etc.
>
> --
> Javier
>
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