hi Graham:
i'm using the nginx+fcgi . And my startup command is below
python manage.py runfcgi host=127.0.0.1 port=3033 method=prefork
pidfile=/var/run/fcgi.pid minspare=5 maxspare=30 maxchildren=60
maxrequests=200
p.s I've invite you on gtalk, hope your response.
On Thu, Mar 31, 2011 at 6:25 AM, Graham Dumpleton <
graham.dumple...@gmail.com> wrote:
> 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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