Karsten Wolf <karste...@web.de> added the comment: Yes, I'm on 2.6. I checked the Python 3.x tarfile just for this one line in TarFile.next():
self.members.append(tarinfo) to conclude it would have the same problem. Reducing 2.5gb memory usage as measured in my particular case by 60%, still leaves 1.5gb ram burned which is too much on a 32-bit 2gb ram machine. My solution was to comment out that line which worked perfectly for my case but may not be the solution for the module. ---------- _______________________________________ Python tracker <rep...@bugs.python.org> <http://bugs.python.org/issue10261> _______________________________________ _______________________________________________ Python-bugs-list mailing list Unsubscribe: http://mail.python.org/mailman/options/python-bugs-list/archive%40mail-archive.com
