[ python-Bugs-1089632 ] _DummyThread() objects not freed from threading._active map

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Bugs item #1089632, was opened at 2004-12-22 15:37
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Category: Python Interpreter Core
Group: Python 2.3
Status: Open
Resolution: None
Priority: 5
Submitted By: saravanand (saravanand)
Assigned to: Nobody/Anonymous (nobody)
Summary: _DummyThread() objects not freed from threading._active map

Initial Comment:
Problem Background:
===============

I have Python Server module (long running) which 
accepts calls from several Python Clients over socket 
interface and forwards the call to a C++ component.  
This C++ component gives the reponses back to Python 
Server in a separate thread(created by C++ module) via 
callback.

In the Python Callback implementation, the responses 
are sent to client in a synchronised manner using Python 
primitive threading.Semaphore.  This Synchronisation is 
required as the C++ component can deliver parallel 
responses in different C++ threads.

Here, the Python Server creates the semaphore object 
per client when the client request arrives (in Python 
thread).  This same object is acquired & released in the 
C++ callback thread(s).

Here we observed that Windows Events are getting 
created whenever the acquire method is executed in the 
Python Callback implementation in the context of C++ 
thread. But the same event is not freed by the Python 
Interpreter even after the termination of the C++ 
thread.   Because of this, a Windows Event handles are 
getting leaked in the Python Server.  

Problem Description:
==============
When we checked the Python module threading.py, we 
found that, every time a non-python thread (in our case 
C++ created thread), enters python and accessesn a 
primitive in threading module (eg: Semaphore, RLock), 
python looks for an entry for this thread in the _active 
map using thread ID as the Key. Since no  entry exists 
for such C++ created threads, a _DummyThread object 
is created and added to the _active map for this C++ 
thread. 

For every _DummyThread object that is created, there is 
a corresponding Windows Event also getting created.

Since this entry is never removed from the _active map 
even after the termination of the C++ thread ( as we 
could make out from the code in threading.py),for 
every "unique" C++ thread that enters python, a 
Windows Event is allocated and this manifests as 
continuous increase in the Handle count in my Python 
server ( as seen in Windows PerfMon/Task Manager).

Is there a way to avoid this caching in Python 
Interpreter? Why cant Python remove this entry from 
the map when the C++ thread terminates. Or if Python 
can't get to know about the thread termination, should 
it not implement some kind of Garbage collection for the 
entries in this Map (especially entries for the 
_DummyThread objects).

Does this require a correction in Python 
modulethreading.py?

or is this caching behaviour by design?

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