Re: Memory Release

2010-02-14 Thread BrandonE
If I wasn't clear, I am not sure how I could use this data to solve
the leak. Could you give an example of what could cause a memory leak
in Pylons?

On Feb 13, 6:38 pm, BrandonE brandman...@gmail.com wrote:
 Hello,

 Here are my results:http://slexy.org/raw/s20kiy3rw7

 This was accomplished by placing:

 from dozer import Logview
 app = Logview(app, config)

 right before the return app statement in middleware.py. This is in
 Pylons version 1.0b1.

 On Feb 12, 12:53 am, Philip Jenvey pjen...@underboss.org wrote:

  On Feb 10, 2010, at 9:48 PM, BrandonE wrote:

   Hello all,

   I am converting one of my CGI Python applications to Pylons. Part of
   it contains displaying a JSON encoded tree generated from a Python
   list. It is a huge tree. It loads very quickly the first time I load
   the page. The second time however, it seemed to be going slower. The
   third, it didn't even complete.

   To investigate, I looked at the memory usage in my control panel
   (Testing locally on a Windows 7 computer, but the original case
   happened on one using Linux). It seemed that the first time, it took
   up 116,000KB of memory. Although one might argue that my script should
   never use that amount of memory to begin with, I consider that to be
   relatively reasonable. However, when I load it the second time, it
   doubles. I wonder, why is that? That is when I discovered this link:

  http://effbot.org/pyfaq/why-doesnt-python-release-the-memory-when-i-d...

   So, it seems that Python frees up memory, but not to the OS. OK, that
   seems fairly reasonable. However, unlike CGI, Pylons runs constantly,
   even after a page has been loaded. That makes sense to me, but it
   seems like Pylons isn't accessing the memory that it just allocated in
   the previous load. I wonder why that is.

  There's a memory leak -- something is holding on to the previous request's 
  memory. The Dozer WSGI app can help you find what's holding onto it, e.g.:

 http://amix.dk/blog/post/19420

   Although this could potentially be an issue with Python, WSGI, or
   Pylons, I figure this is the best place to post it as it is the
   specific possible factor in this malfunction, and that the experts
   here will know about the former two. Although some might want to tell
   me to use less memory altogether, I would like to mention that the
   same increase occured in other Pylons instances with much smaller
   consumption, although the increase was proportional.

  --
  Philip Jenvey

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Re: Memory Release

2010-02-13 Thread BrandonE
Hello,

Here are my results: http://slexy.org/raw/s20kiy3rw7

This was accomplished by placing:

from dozer import Logview
app = Logview(app, config)

right before the return app statement in middleware.py. This is in
Pylons version 1.0b1.

On Feb 12, 12:53 am, Philip Jenvey pjen...@underboss.org wrote:
 On Feb 10, 2010, at 9:48 PM, BrandonE wrote:



  Hello all,

  I am converting one of my CGI Python applications to Pylons. Part of
  it contains displaying a JSON encoded tree generated from a Python
  list. It is a huge tree. It loads very quickly the first time I load
  the page. The second time however, it seemed to be going slower. The
  third, it didn't even complete.

  To investigate, I looked at the memory usage in my control panel
  (Testing locally on a Windows 7 computer, but the original case
  happened on one using Linux). It seemed that the first time, it took
  up 116,000KB of memory. Although one might argue that my script should
  never use that amount of memory to begin with, I consider that to be
  relatively reasonable. However, when I load it the second time, it
  doubles. I wonder, why is that? That is when I discovered this link:

 http://effbot.org/pyfaq/why-doesnt-python-release-the-memory-when-i-d...

  So, it seems that Python frees up memory, but not to the OS. OK, that
  seems fairly reasonable. However, unlike CGI, Pylons runs constantly,
  even after a page has been loaded. That makes sense to me, but it
  seems like Pylons isn't accessing the memory that it just allocated in
  the previous load. I wonder why that is.

 There's a memory leak -- something is holding on to the previous request's 
 memory. The Dozer WSGI app can help you find what's holding onto it, e.g.:

 http://amix.dk/blog/post/19420



  Although this could potentially be an issue with Python, WSGI, or
  Pylons, I figure this is the best place to post it as it is the
  specific possible factor in this malfunction, and that the experts
  here will know about the former two. Although some might want to tell
  me to use less memory altogether, I would like to mention that the
  same increase occured in other Pylons instances with much smaller
  consumption, although the increase was proportional.

 --
 Philip Jenvey

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Memory Release

2010-02-11 Thread BrandonE
Hello all,

I am converting one of my CGI Python applications to Pylons. Part of
it contains displaying a JSON encoded tree generated from a Python
list. It is a huge tree. It loads very quickly the first time I load
the page. The second time however, it seemed to be going slower. The
third, it didn't even complete.

To investigate, I looked at the memory usage in my control panel
(Testing locally on a Windows 7 computer, but the original case
happened on one using Linux). It seemed that the first time, it took
up 116,000KB of memory. Although one might argue that my script should
never use that amount of memory to begin with, I consider that to be
relatively reasonable. However, when I load it the second time, it
doubles. I wonder, why is that? That is when I discovered this link:

http://effbot.org/pyfaq/why-doesnt-python-release-the-memory-when-i-delete-a-large-object.htm

So, it seems that Python frees up memory, but not to the OS. OK, that
seems fairly reasonable. However, unlike CGI, Pylons runs constantly,
even after a page has been loaded. That makes sense to me, but it
seems like Pylons isn't accessing the memory that it just allocated in
the previous load. I wonder why that is.

Although this could potentially be an issue with Python, WSGI, or
Pylons, I figure this is the best place to post it as it is the
specific possible factor in this malfunction, and that the experts
here will know about the former two. Although some might want to tell
me to use less memory altogether, I would like to mention that the
same increase occured in other Pylons instances with much smaller
consumption, although the increase was proportional.

Thank you,
Brandon

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Re: Memory Release

2010-02-11 Thread Philip Jenvey

On Feb 10, 2010, at 9:48 PM, BrandonE wrote:

 Hello all,
 
 I am converting one of my CGI Python applications to Pylons. Part of
 it contains displaying a JSON encoded tree generated from a Python
 list. It is a huge tree. It loads very quickly the first time I load
 the page. The second time however, it seemed to be going slower. The
 third, it didn't even complete.
 
 To investigate, I looked at the memory usage in my control panel
 (Testing locally on a Windows 7 computer, but the original case
 happened on one using Linux). It seemed that the first time, it took
 up 116,000KB of memory. Although one might argue that my script should
 never use that amount of memory to begin with, I consider that to be
 relatively reasonable. However, when I load it the second time, it
 doubles. I wonder, why is that? That is when I discovered this link:
 
 http://effbot.org/pyfaq/why-doesnt-python-release-the-memory-when-i-delete-a-large-object.htm
 
 So, it seems that Python frees up memory, but not to the OS. OK, that
 seems fairly reasonable. However, unlike CGI, Pylons runs constantly,
 even after a page has been loaded. That makes sense to me, but it
 seems like Pylons isn't accessing the memory that it just allocated in
 the previous load. I wonder why that is.

There's a memory leak -- something is holding on to the previous request's 
memory. The Dozer WSGI app can help you find what's holding onto it, e.g.:

http://amix.dk/blog/post/19420

 
 Although this could potentially be an issue with Python, WSGI, or
 Pylons, I figure this is the best place to post it as it is the
 specific possible factor in this malfunction, and that the experts
 here will know about the former two. Although some might want to tell
 me to use less memory altogether, I would like to mention that the
 same increase occured in other Pylons instances with much smaller
 consumption, although the increase was proportional.
 

--
Philip Jenvey

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