多重处理，Python3，Windows：TypeError：无法腌制_thread.lock对象

Question

在运行Python 3.6的Windows 10系统上，当尝试multiprocessing.Process用于创建新rq工作线程时，

multiprocessing.Process(target=Worker(qs).work, kwargs={'burst': True}).start()     

我们遇到错误

TypeError：无法腌制_thread.lock对象

和

OSError：[WinError 87]参数不正确

rq.SimpleWorker之所以使用而不是rq.Worker因为Windows不支持所fork使用的功能rq.Worker。

问题：是什么原因导致此错误？我们该如何解决呢？

from rq import SimpleWorker, Connection

def needMoreWorkers():
    return True

if __name__ == '__main__':
    qs = sys.argv[1:] or ['default']
    with Connection(connection=my_redis_conn):
        if needMoreWorkers():
            multiprocessing.Process(target=SimpleWorker(qs).work, kwargs={'burst': True}).start()     

错误回溯

Traceback (most recent call last):
File "WorkerFactory.py", line 53, in <module>
    main(qs)
File "WorkerFactory.py", line 45, in main
    multiprocessing.Process(target=SimpleWorker(qs)).start()
File "C:\Users\x\AppData\Local\Continuum\anaconda3\envs\test\lib\multiprocessing\process.py", line 105, in start
    self._popen = self._Popen(self)
File "C:\Users\x\AppData\Local\Continuum\anaconda3\envs\test\lib\multiprocessing\context.py", line 223, in _Popen
    return _default_context.get_context().Process._Popen(process_obj)
File "C:\Users\x\AppData\Local\Continuum\anaconda3\envs\test\lib\multiprocessing\context.py", line 322, in _Popen
    return Popen(process_obj)
File "C:\Users\x\AppData\Local\Continuum\anaconda3\envs\test\lib\multiprocessing\popen_spawn_win32.py", line 65, in __init__
    reduction.dump(process_obj, to_child)
File "C:\Users\x\AppData\Local\Continuum\anaconda3\envs\test\lib\multiprocessing\reduction.py", line 60, in dump
    ForkingPickler(file, protocol).dump(obj)
TypeError: can't pickle _thread.lock objects

(test) C:\Code\test\source>Traceback (most recent call last):
File "<string>", line 1, in <module>
File "C:\Users\x\AppData\Local\Continuum\anaconda3\envs\test\lib\multiprocessing\spawn.py", line 99, in spawn_main
    new_handle = reduction.steal_handle(parent_pid, pipe_handle)
File "C:\Users\x\AppData\Local\Continuum\anaconda3\envs\test\lib\multiprocessing\reduction.py", line 82, in steal_handle
    _winapi.PROCESS_DUP_HANDLE, False, source_pid)
OSError: [WinError 87] The parameter is incorrect   

Answer 1

据我所知，Pickle 模块导致了这个问题。它必须被导入到另一个模块的某个地方。无论如何，pickle 用于保存数据，但它显然不能“pickle” thread.lock 对象。至于如何修复它，请检查所有函数调用并确保传递正确的变量类型。