Why are you using prefork MPM and running Django embedded that way.

Prefork MPM may be fine for PHP, but it is a poor solution for fat Python 
web applications unless you are prepared to give it the necessary memory 
resources and configure Apache properly specifically for that single Python 
web applications requirements.

If you are going to use embedded mode of Apache, then you should at least 
use worker MPM and then you still need to be mindful of how Apache MPM 
settings are configured so as to try and keep processes persistent all the 
time and not let Apache kill off/restart processes when it feels it needs to 
as the startup load will only make performance worse when you need it, ie., 
when load spikes.

For a discussion on why embedded mode is not always the best, especially 
with prefork MPM, go read:

  http://blog.dscpl.com.au/2009/03/load-spikes-and-excessive-memory-usage.html

If using Apache/mod_wsgi the preferred setup would be daemon mode where you 
can better control processes/threads independent of Apache MPM, meaning you 
can still use prefork MPM if you are stuck with support a PHP application on 
the same Apache.

Graham

On Wednesday, March 30, 2011 11:03:37 PM UTC+11, bird sky wrote:
>
> Hello Everybody: 
>      I encounter a problem that my Django project, it has more than 60 
> app modules, and some models are very large, more than 30 fields . And 
> when I startup my project, regardless of in development server, fast 
> cgi(flup),or mod_wsgi. i found it cost at least 60M memory per 
> instance. I guess this has some relation with that "django will load 
> all models on startup" . but how can I deal with my problem? Because 
> if an instance cost 60M memory, when I deploy my project in prefork 
> web server with 100 instance, i will cost 6GB memory. I don't think 
> this is a normal state.

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