Antti Haapala added the comment:
The title of the issue is still wrong. As I noted before the problem is not
with subprocess leaking 4K memory *always*. The issue comes from the fact that
subprocess seems to leak 4K memory per individual thread. The test code to use
is thus
def test():
check_output("true")
threading.Timer(1, test, ()).start()
test()
which will invoke subprocess always in a new thread. Using subprocess in a
loop, or using the timer as above without subprocess will not increase memory
usage.
I have changed the title accordingly
----------
title: The 'subprocess' module leaks memory when called in certain ways -> The
'subprocess' module leaks 4 kiB memory for each thread
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Python tracker <rep...@bugs.python.org>
<http://bugs.python.org/issue28165>
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