STINNER Victor added the comment: > Victor, please read your own link before posting:
Oh. I missed this part, that's why I didn't understand Tim's remark. So the issue comes the Windows heap allocator. I don't see any obvious improvment that Python can do to improve the memory usage. I close the issue. You have to modify your application to allocate objects differently, to limit manually the fragmentation of the heap. Another option, maybe more complex, is to create a subprocess to process data, and destroy the process to release the memory. multiprocessing helps to implement that. I will maybe try jemalloc on Windows, but I prefer to open a new issue if I find something interesting. ---------- resolution: -> fixed status: open -> closed _______________________________________ Python tracker <rep...@bugs.python.org> <http://bugs.python.org/issue19246> _______________________________________ _______________________________________________ Python-bugs-list mailing list Unsubscribe: https://mail.python.org/mailman/options/python-bugs-list/archive%40mail-archive.com
