Greets,
Sorry for my late answer, google groups lost my post...
First, thanks you for your explanations about memory handling in the
os and python.
I've tried with python 2.5 under linux :
For the parsing of a 66 Mb xml file with cElementTree :
When starting python : 2.1 Mb private memory used
On May 31, 8:06 am, [EMAIL PROTECTED] wrote:
Hello,
I will try later with python 2.5 under linux, but as far as I can see,
it's the same problem under my windows python 2.5
After reading this document
:http://evanjones.ca/memoryallocator/python-memory.pdf
I think it's because list or
[EMAIL PROTECTED] wrote:
Using the same file with cElementTree took me 217 Mb, with no
unreachable object.
For me it's not a good behavior, it's not a good way to let the system
swap this unused memory instead of freeing it.
I think it's a really good idea to have a memory pool for
Andrew MacIntyre [EMAIL PROTECTED] wrote:
You should also appreciate something about PyMalloc: it only handles
allocation requests of 256 bytes or smaller, and this limitation is part
of PyMalloc's design.
If most of your allocations are 256 bytes, you're at the mercy of the
platform
Greets,
I've some troubles getting my memory freed by python, how can I force
it to release the memory ?
I've tried del and gc.collect() with no success.
Here is a code sample, parsing an XML file under linux python 2.4
(same problem with windows 2.5, tried with the first example) :
#Python
In [EMAIL PROTECTED], frederic.pica
wrote:
So as I can see, python maintain a memory pool for lists.
In my first example, if I reparse the xml file, the memory doesn't
grow very much (0.1 Mb precisely)
So I think I'm right with the memory pool.
But is there a way to force python to release
On 31 mai, 14:16, Marc 'BlackJack' Rintsch [EMAIL PROTECTED] wrote:
In [EMAIL PROTECTED], frederic.pica
wrote:
So as I can see, python maintain a memory pool for lists.
In my first example, if I reparse the xml file, the memory doesn't
grow very much (0.1 Mb precisely)
So I think I'm
Hello,
[EMAIL PROTECTED] wrote:
I've some troubles getting my memory freed by python, how can I force
it to release the memory ?
I've tried del and gc.collect() with no success.
[...]
The same problem here with a simple file.readlines()
#Python interpreter memory usage : 1.1 Mb private,
On 31 mai, 16:22, Paul Melis [EMAIL PROTECTED] wrote:
Hello,
[EMAIL PROTECTED] wrote:
I've some troubles getting my memory freed by python, how can I force
it to release the memory ?
I've tried del and gc.collect() with no success.
[...]
The same problem here with a simple
If the memory usage is that important to you, you could break this out
into 2 programs, one that starts the jobs when needed, the other that
does the processing and then quits.
As long as the python startup time isn't an issue for you.
On 31 May 2007 04:40:04 -0700, [EMAIL PROTECTED]
[EMAIL
On 31 mai, 17:29, Josh Bloom [EMAIL PROTECTED] wrote:
If the memory usage is that important to you, you could break this out
into 2 programs, one that starts the jobs when needed, the other that
does the processing and then quits.
As long as the python startup time isn't an issue for you.
On
Like:
import pool
pool.free()
pool.limit(size in megabytes)
Why not letting the user choosing that, why not giving the user more
flexibility ?
I will try later under linux with the latest stable python
Regards,
FP
The idea that memory allocated to a process but not being used is a
* (31 May 2007 06:15:18 -0700)
On 31 mai, 14:16, Marc 'BlackJack' Rintsch [EMAIL PROTECTED] wrote:
In [EMAIL PROTECTED], frederic.pica
wrote:
And I'm not sure that the system will swap first this
unused memory, it could also swap first another application... AFAIK.
Definitely not, this is
* Chris Mellon (Thu, 31 May 2007 12:10:07 -0500)
Like:
import pool
pool.free()
pool.limit(size in megabytes)
Why not letting the user choosing that, why not giving the user more
flexibility ?
I will try later under linux with the latest stable python
Regards,
FP
The idea
On May 31, 11:00 am, Thorsten Kampe [EMAIL PROTECTED] wrote:
If it's swapped to disk than this is a big concern. If your Python app
allocates 600 MB of RAM and does not use 550 MB after one minute and
this unused memory gets into the page file then the Operating System
has to allocate and
[EMAIL PROTECTED] wrote:
I will try later with python 2.5 under linux, but as far as I can see,
it's the same problem under my windows python 2.5
After reading this document :
http://evanjones.ca/memoryallocator/python-memory.pdf
I think it's because list or dictionnaries are used by the
Josh Bloom [EMAIL PROTECTED] wrote:
If the memory usage is that important to you, you could break this out
into 2 programs, one that starts the jobs when needed, the other that
does the processing and then quits.
As long as the python startup time isn't an issue for you.
And if python startup
On 5/31/07, Thorsten Kampe [EMAIL PROTECTED] wrote:
* Chris Mellon (Thu, 31 May 2007 12:10:07 -0500)
Like:
import pool
pool.free()
pool.limit(size in megabytes)
Why not letting the user choosing that, why not giving the user more
flexibility ?
I will try later under linux
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