[asterisk-dev] [Code Review] 3668: refcounter.py uses excessive RAM when processing large refs file

[Corey Farrell]

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(Updated June 27, 2014, 2:14 p.m.)


Status
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This change has been marked as submitted.


Review request for Asterisk Developers and Matt Jordan.


Changes
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Committed in revision 417480


Bugs: ASTERISK-23921
    https://issues.asterisk.org/jira/browse/ASTERISK-23921


Repository: Asterisk


Description
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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 417247 

Diff: https://reviewboard.asterisk.org/r/3668/diff/


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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