This is not expected. You'll have to paste some code to figure out why this
may be the case.
On Nov 6, 2012 1:36 PM, "khairi hafsham" wrote:
> hi,
>
> in my application, a custom RootFactory is passed as an argument to the
> Configurator. But when debugging for permission, the context for all vie
hi,
in my application, a custom RootFactory is passed as an argument to the
Configurator. But when debugging for permission, the context for all views
is still DefaultRootFactory. only when the custom factory passed to the
add_route() method, will it be the context for the particular route. is
Thanks! I thought accessing the request.response object would automatically
enforce to send a manual response, but it works fine the way you suggested
it.
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Hi,
thanks for all your responses, it help to guide me.
I removed the use of gevent and used waitress, but this ended up in a
slowdown. I think in my case, I'm more cpu bound then IO bound.
I tried using multiple instance that nginx load balance from this page and
it worked! If I use only 1 proc
-BEGIN PGP SIGNED MESSAGE-
Hash: SHA1
This is a total crazy solution but perfect!
Thanks,
Andreas
Eldav wrote:
> Hi Andreas,
>
> I recently had to solve a similar problem, and I chose to export my
> Sphinx document in pickle format (initially I wanted to develop a
> Sphinx Bootstrap th
Hi Frédéric,
Am 05.11.2012 22:13, schrieb Frédéric Bastien:
> Hi,
>
> I inherited a project that is done with pyramid 1.2. Currently, it can
> process aroud 100-200 requests/s for dynamic page generated. The bottleneck
> seam to be the GPU, as the paster process run close to 100%. We need to be
Hi Andreas,
I recently had to solve a similar problem, and I chose to export my
Sphinx document in pickle format (initially I wanted to develop a Sphinx
Bootstrap theme, but I found the "pickle" approach much simpler).
In this format, each page of your document is generated as a pickled
dictiona
On 5 November 2012 22:13, Frédéric Bastien wrote:
> As we have multi-cores CPU, is there a way to make use of them to get faster
> results? Each view have been done to scale between server. So there is no
> concurency problem.
Each CPython-process will use only one core; you will just have to run