在运行Python 3.6的Windows 10系统上,尝试使用multiprocessing.Process
创建新的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
使用OSError:[WinError 87]参数不正确
rq.SimpleWorker
代替rq.Worker
,因为Windows不支持fork
使用的rq.Worker
功能。
问题:是什么导致此错误?我们该如何解决?
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
答案 0 :(得分:0)
据我所知,Pickle模块导致了该问题。必须将其导入另一个模块中的某个位置。无论如何,pickle用于保存数据,但显然不能“刺穿” thread.lock对象。至于如何解决它,请检查所有函数调用,并确保传递正确的变量类型。