New submission from William <william.le...@mastek.com>: Context: I am embedding Python into a Windows based C++ application, where a new Python interpreter (using Py_NewInterpreter) is created for each user who connects to the system. When the user logs off, the function "Py_EndInterpreter" is used to free all the associated resources.
Problem: After starting the application on a server, the memory usage increases rapidly as some users login and log-off from the system. Some Tests: I have conducted some tests along with the Python interpreter. I have written a simple C++ program which simply creates 100 Python interpreters and then ends them one by one. If we check the Windows Task Manager, the following are the observations:- Memory usage before starting to create the Python Interpreters: 4316K Memory usage after creating 100 Python Interpreters: 61248K Memory usage after ending the 100 Python Interpreters: 47664K This shows that there has been a memory leak of approximately 43348K Please do consider this problem for fixing at the earliest or let me know if I am doing something wrong. ---------- components: Interpreter Core, Windows files: PythonCall.cpp messages: 101885 nosy: ewillie007 severity: normal status: open title: Multiple Python Interpreter Memory Leak type: resource usage versions: Python 2.6 Added file: http://bugs.python.org/file16687/PythonCall.cpp _______________________________________ Python tracker <rep...@bugs.python.org> <http://bugs.python.org/issue8258> _______________________________________ _______________________________________________ Python-bugs-list mailing list Unsubscribe: http://mail.python.org/mailman/options/python-bugs-list/archive%40mail-archive.com
