Yes! I'm in.

Out of curiosity: When inserting lots of data, how do you do it? Using
the orm? Have you looked at http://pypi.python.org/pypi/dse/2.1.0 ? I
wrote DSE to solve inserting/updating huge sets of data, but if
there's a better way to do it that would be especially interesting to
hear more about ( and sorry for the self promotion ).

Regards,
Thomas

On Wed, Jun 22, 2011 at 3:15 PM, Cal Leeming [Simplicity Media Ltd]
<cal.leem...@simplicitymedialtd.co.uk> wrote:
> Hi all,
> Some of you may have noticed, in the last few months I've done quite a few
> posts/snippets about handling large data sets in Django. At the end of this
> month (after what seems like a lifetime of trial and error), we're finally
> going to be releasing a new site which holds around 40mil+ rows of data,
> grows by about 300-500k rows each day, handles 5GB of uploads per day, and
> can handle around 1024 requests per second on stress test on a moderately
> spec'd server.
> As the entire thing is written in Django (and a bunch of other open source
> products), I'd really like to give something back to the community. (stack
> incls Celery/RabbitMQ/Sphinx SE/PYQuery/Percona
> MySQL/NGINX/supervisord/debian etc)
> Therefore, I'd like to see if there would be any interest in webcast in
> which I would explain how we handle such large amounts of data, the trial
> and error processes we went through, some really neat tricks we've done to
> avoid bottlenecks, our own approach to smart content filtering, and some of
> the valuable lessons we have learned. The webcast would be completely free
> of charge, last a couple of hours (with a short break) and anyone can
> attend. I'd also offer up a Q&A session at the end.
> If you're interested, please reply on-list so others can see.
> Thanks
> Cal
>
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-- 
Mvh/Best regards,
Thomas Weholt
http://www.weholt.org

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