[Pywikipedia-l] [ pywikipediabot-Bugs-2193942 ] reading category: memory leak and slow down

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Bugs item #2193942, was opened at 2008-10-25 13:10
Message generated for change (Comment added) made by smalacarne
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Category: category
Group: None
Status: Open
Resolution: None
Priority: 5
Private: No
Submitted By: Simone Malacarne (smalacarne)
Assigned to: Nobody/Anonymous (nobody)
Summary: reading category: memory leak and slow down

Initial Comment:
I need to read a very big category (80.000+ articles).
So i just do:
site = wikipedia.getSite()
cat = catlib.Category(site,'category name')
gen = pagegenerators.PreloadingGenerator(cat.articles(), pageNumber=100)
for page in gen:
       do_something

problem is that the program start using more and more memory (at the end near 2giga ram). Even cpu time increase over time, if first 10.000 articles are processed in 10 min, second 10.000 double that time and so on... it takes about 20 hours to read all the articles.

If i use: 
gen = pagegenerators.CategorizedPageGenerator(cat , recurse=False, start=u'')
instead of PreloadingGenerator i dont have mem or cpu leaks but it's slow as hell to read and articles at the time (more than 24 hours to finish).

Pywikipedia [http] trunk/pywikipedia (r6015, Oct 24 2008, 18:29:39)
Python 2.5.2 (r252:60911, Oct  5 2008, 19:29:17) 
[GCC 4.3.2]

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Comment By: Simone Malacarne (smalacarne)
Date: 2008-10-26 21:43

Message:
I track the problem to catlib in the category._getContents function.
The function cache something but with a lot of pages memory and cpu use is
massive.
I try to comment 2 lines in this part:
   else:
            print ('not Cached')
            for tag, page in self._parseCategory(purge, startFrom):
                if tag == ARTICLE:
                    #self.articleCache.append(page)
                    if not page in cache:
                        #cache.append(page)
                        yield ARTICLE, page

and all is fine now, memory use is about 20/30mbyte fix and cpu occupation
is normal.
Don't know what that cache is used for but it caused me lot of trouble.

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You can respond by visiting: 
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