[asterisk-dev] [Code Review] 3668: refcounter.py uses excessive RAM when processing large refs file
wdoekes
reviewboard at asterisk.org
Thu Jun 26 02:54:36 CDT 2014
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This is an automatically generated e-mail. To reply, visit:
https://reviewboard.asterisk.org/r/3668/#review12332
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Ship it!
Fire away.
/branches/12/contrib/scripts/refcounter.py
<https://reviewboard.asterisk.org/r/3668/#comment22508>
E201 whitespace after '['
E202 whitespace before ']'
/branches/12/contrib/scripts/refcounter.py
<https://reviewboard.asterisk.org/r/3668/#comment22509>
E201 whitespace after '['
E202 whitespace before ']'
/branches/12/contrib/scripts/refcounter.py
<https://reviewboard.asterisk.org/r/3668/#comment22510>
E201 whitespace after '['
E202 whitespace before ']'
P.S. https://github.com/nvie/vim-flake8
sudo pip install flake8
mkdir -p ~/.vim/ftplugin
wget 'https://raw.githubusercontent.com/nvie/vim-flake8/master/ftplugin/python_flake8.vim' -O ~/.vim/ftplugin/python_flake8.vim
echo 'filetype plugin indent on' >> ~/.vimrc
vim something.py
[press <F7>]
- wdoekes
On June 26, 2014, 12:22 a.m., Corey Farrell wrote:
>
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> This is an automatically generated e-mail. To reply, visit:
> https://reviewboard.asterisk.org/r/3668/
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>
> (Updated June 26, 2014, 12:22 a.m.)
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>
> Review request for Asterisk Developers and Matt Jordan.
>
>
> Bugs: ASTERISK-23921
> https://issues.asterisk.org/jira/browse/ASTERISK-23921
>
>
> Repository: Asterisk
>
>
> Description
> -------
>
> When processing a 212MB refs file, refcounter.py used over 3GB of RAM. This caused swap thrashing and temporarily froze my system. The included patch makes the following memory optimizations:
> * skewed and finished object lists are only populated if not disabled
> * lines are saved to each object as the final output line
>
> Saving the whole lines in output format seems to reduce memory usage by 80-90%. Ignoring finished/skewed objects caused an additional reduction of about 75% on my system.
>
>
> Diffs
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> /branches/12/contrib/scripts/refcounter.py 417246
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> Diff: https://reviewboard.asterisk.org/r/3668/diff/
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>
> Testing
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>
> Watched 'top -c' with refcounter.py running on the 212MB refs log. The highest memory usage I saw was 127MB with '-sn' options and 472MB with full output.
>
>
> Thanks,
>
> Corey Farrell
>
>
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