Yiyang Zhou created THRIFT-5454:
-----------------------------------

             Summary: Python TProcessPoolServer does not spawn expected number 
of worker processes
                 Key: THRIFT-5454
                 URL: https://issues.apache.org/jira/browse/THRIFT-5454
             Project: Thrift
          Issue Type: Bug
          Components: Python - Library
            Reporter: Yiyang Zhou


When using Python TProcessPoolServer with more than 1 workers, only one worker 
process will be successfully spawned and all the other processes will reach a 
pickling error and exit. As a result, with the default settings, only one 
worker process is processing requests, whereas 10 workers are expected.

```bash

Traceback (most recent call last):

  File 
"/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/thrift-0.16.0-py3.9-macosx-10.9-x86_64.egg/thrift/server/TProcessPoolServer.py",
 line 106, in serve

    w.start()

  File 
"/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/multiprocessing/process.py",
 line 121, in start

    self._popen = self._Popen(self)

  File 
"/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/multiprocessing/context.py",
 line 224, in _Popen

    return _default_context.get_context().Process._Popen(process_obj)

  File 
"/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/multiprocessing/context.py",
 line 284, in _Popen

    return Popen(process_obj)

  File 
"/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/multiprocessing/popen_spawn_posix.py",
 line 32, in __init__

    super().__init__(process_obj)

  File 
"/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/multiprocessing/popen_fork.py",
 line 19, in __init__

    self._launch(process_obj)

  File 
"/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/multiprocessing/popen_spawn_posix.py",
 line 47, in _launch

    reduction.dump(process_obj, fp)

  File 
"/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/multiprocessing/reduction.py",
 line 60, in dump

    ForkingPickler(file, protocol).dump(obj)

TypeError: cannot pickle 'weakref' object

```

 



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