ruozeng.w <duke...@163.com> added the comment:
I ran into the same issue.
I'm using Ansible to deliver thousands of remote tasks. One TaskQueueManager
starts multiple worker processes, each worker process executes a remote task
and send task result data to TaskQueueManager through MultiProcessing.Queue, so
there are 1 consumer and thousands of producers(every producer should exit
after sending task result). In high concurrency scenarios, this MAY happen and
many worker processes will never exit。
Example:
sending ansible ping task (which executes very fast and returns very short
result) to 20000 targets.
Environment
==============================
python 3.6.5
oel 7.4
gdb debug info of worker process
==============================
(gdb) py-list
1067 # If the lock is acquired, the C code is done, and self._stop()
is
1068 # called. That sets ._is_stopped to True, and ._tstate_lock to
None.
1069 lock = self._tstate_lock
1070 if lock is None: # already determined that the C code is done
1071 assert self._is_stopped
>1072 elif lock.acquire(block, timeout):
1073 lock.release()
1074 self._stop()
1075
1076 @property
1077 def name(self):
(gdb) py-bt
Traceback (most recent call first):
<built-in method acquire of _thread.lock object at remote 0x7f94b2190918>
File "/usr/local/lib/python3.6/threading.py", line 1072, in
_wait_for_tstate_lock
elif lock.acquire(block, timeout):
File "/usr/local/lib/python3.6/threading.py", line 1056, in join
self._wait_for_tstate_lock()
File "/usr/local/lib/python3.6/multiprocessing/queues.py", line 191, in
_finalize_join
thread.join()
File "/usr/local/lib/python3.6/multiprocessing/util.py", line 186, in __call__
res = self._callback(*self._args, **self._kwargs)
File "/usr/local/lib/python3.6/multiprocessing/util.py", line 262, in
_run_finalizers
finalizer()
File "/usr/local/lib/python3.6/multiprocessing/util.py", line 322, in
_exit_function
_run_finalizers()
File "/usr/local/lib/python3.6/multiprocessing/process.py", line 261, in
_bootstrap
util._exit_function()
File "/usr/local/lib/python3.6/multiprocessing/popen_fork.py", line 73, in
_launch
code = process_obj._bootstrap()
File "/usr/local/lib/python3.6/multiprocessing/popen_fork.py", line 19, in
__init__
self._launch(process_obj)
File "/usr/local/lib/python3.6/multiprocessing/context.py", line 277, in
_Popen
return Popen(process_obj)
File "/usr/local/lib/python3.6/multiprocessing/context.py", line 223, in
_Popen
return _default_context.get_context().Process._Popen(process_obj)
File "/usr/local/lib/python3.6/multiprocessing/process.py", line 105, in start
self._popen = self._Popen(self)
File
"/usr/local/lib/python3.6/site-packages/ansible-2.7.0.post0-py3.6.egg/ansible/plugins/strategy/__init__.py",
line 328, in _queue_task
worker_prc.start()
File
"/usr/local/lib/python3.6/site-packages/ansible-2.7.0.post0-py3.6.egg/ansible/plugins/strategy/telinear.py",
line 301, in run
self._queue_task(host, task, task_vars, play_context)
File
"/usr/local/lib/python3.6/site-packages/ansible-2.7.0.post0-py3.6.egg/ansible/executor/task_queue_manager.py",
line 308, in run
play_return = strategy.run(iterator, play_context)
Anyone can help? Thx!
----------
nosy: +dukewrz
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Python tracker <rep...@bugs.python.org>
<https://bugs.python.org/issue35608>
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