It turns out that the requests with high ram requirements are so well
distributed
that I'm not running out of memory. So my initial concerns (the first mail
in this
thread) can be forgotten. YAY.

-Andrin



On Wed, Feb 22, 2012 at 9:08 AM, Robert Kluin <robert.kl...@gmail.com>wrote:

> Hey Alex,
>  I should probably have stated this better as memory is not always
> handled well.  For example, the ext.db code keeps many copies of the
> data in various forms.  This can cause rapid and unexpected memory
> blowups, and the result is something that appears similar to a memory
> leak.  As Brian noted, this is partially caused by Python's handling
> of memory.
>
>  However, there are a number of scenarios where you get real memory
> leaks.  For example there have recently been several posts / issues
> from people having issues with the blobstore leaking memory.  Some of
> these are quite detailed and the repro code is very simple.  If I'm
> not mistaken, in the past, we've observed this happening with heavy
> datastore use as well, though I don't have simple repro cases for
> those.
>
>
>
> Robert
>
>
>
>
>
> On Tue, Feb 21, 2012 at 16:13, alex <a...@cloudware.it> wrote:
> > The whole point of this topic was python27 runtime, multithreading and
> > concurrent requests. Your specific case, plus python 2.5, doesn't
> > necessarily means memory leaks in the runtime itself. I'd profile my code
> > that handles most frequently accessed URLs to start off.
> >
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