Christian Heimes <li...@cheimes.de> added the comment:
When I run your example, RSS jumps from 20 MB to about 1,600 MB. There is almost no increase when I run the look several more times. >>> p.memory_info() pmem(rss=19902464, vms=240513024, shared=10014720, text=2125824, lib=0, data=9887744, dirty=0) >>> asyncio.run(main(2000)) <stdin>:2: DeprecationWarning: The explicit passing of coroutine objects to asyncio.wait() is deprecated since Python 3.8, and scheduled for removal in Python 3.11. >>> p.memory_info() pmem(rss=1608568832, vms=1829105664, shared=10014720, text=2125824, lib=0, data=1598480384, dirty=0) >>> asyncio.run(main(2000)) >>> p.memory_info() pmem(rss=1608835072, vms=1829367808, shared=10014720, text=2125824, lib=0, data=1598742528, dirty=0) >>> asyncio.run(main(2000)) >>> p.memory_info() pmem(rss=1608601600, vms=1829367808, shared=10014720, text=2125824, lib=0, data=1598742528, dirty=0) Why are you creating so many SSLContext objects any way? It's very inefficient and really not necessary. I recommend that you create one context in your application and reuse for all connection. You only ever need additional contexts for different configuration (protocol, verification, trust anchors, ...). ---------- assignee: christian.heimes -> _______________________________________ Python tracker <rep...@bugs.python.org> <https://bugs.python.org/issue40727> _______________________________________ _______________________________________________ Python-bugs-list mailing list Unsubscribe: https://mail.python.org/mailman/options/python-bugs-list/archive%40mail-archive.com
