If you mean fastcgi, it really depends on how you configure it.
If you want a way that guarantees a single process, then use mod_wsgi
and its daemon mode, ensuring you configure it to delegate Django to
one daemon process.
Graham
On Jul 2, 4:04 pm, Hongyu Li wrote:
> what
what about run django on lighttpd, ls it a multi process server too, or ?
On Thu, Jul 2, 2009 at 11:55 AM, Graham Dumpleton <
graham.dumple...@gmail.com> wrote:
>
> Presumably use memcache.
>
> On Jul 2, 12:09 pm, Hongyu Li wrote:
> > Thanks for your comment.
> > What was
On Jul 2, 2:00 pm, Chhouk Voeun wrote:
> no i use window
If this reply was truly about original caching issues with
multiprocess Apache, take note that it was said that it was a UNIX
platform issue. On Windows there is only one process, so it is not a
problem and you can
no i use window
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Presumably use memcache.
On Jul 2, 12:09 pm, Hongyu Li wrote:
> Thanks for your comment.
> What was you do when want add a global memory cache in your app with django?
>
> On Wed, Jul 1, 2009 at 8:08 PM, Graham Dumpleton
>
>
>
>
> > wrote:
>
>
Thanks for your comment.
What was you do when want add a global memory cache in your app with django?
On Wed, Jul 1, 2009 at 8:08 PM, Graham Dumpleton wrote:
>
>
>
> On Jul 1, 7:22 pm, Hongyu Li wrote:
> > #!/usr/bin/env python
> > # -*-
On Jul 1, 7:22 pm, Hongyu Li wrote:
> #!/usr/bin/env python
> # -*- coding: utf-8 -*-
> import xmlrpclib
> import os
> import sys
> import time
> import math
> import optparse
> import tm.filecheck
> import service
> from django.http import HttpResponse
> from
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import xmlrpclib
import os
import sys
import time
import math
import optparse
import tm.filecheck
import service
from django.http import HttpResponse
from django.core.cache import cache
def getCategoryAndDetail(request):
keyword =
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