python 多进程报错
python 多进程报错
for (room_name,room_id) in json_data.items(): if room_id!='0':
print(room_name+":"+room_id)
if room_name=="SecooShanghai":
p1 = multiprocessing.Process(target=douyin_webcast.excute_main, args=(room_name,room_id,))
p1.start()
p1.join()
if room_name=="dyxbhjks5p73":
p2 = multiprocessing.Process(target=douyin_webcast.excute_main, args=(room_name,room_id,))
p2.start()
p2.join()
if room_name=="Secoobeijing":
p3 = multiprocessing.Process(target=douyin_webcast.excute_main, args=(room_name,room_id,))
p3.start()
p3.join()
if room_name=="DYSECOO":
p4 = multiprocessing.Process(target=douyin_webcast.excute_main, args=(room_name,room_id,))
p4.start()
p4.join()
报错日志
Traceback (most recent call last): File "E:/pythonproject/douyinlive - 副本 (2)/msg_test.py", line 260, in <module>
p1.start()
File "D:\loading\python3.8\lib\multiprocessing\process.py", line 121, in start
self._popen = self._Popen(self)
File "D:\loading\python3.8\lib\multiprocessing\context.py", line 224, in _Popen
return _default_context.get_context().Process._Popen(process_obj)
File "D:\loading\python3.8\lib\multiprocessing\context.py", line 327, in _Popen
return Popen(process_obj)
File "D:\loading\python3.8\lib\multiprocessing\popen_spawn_win32.py", line 93, in __init__
reduction.dump(process_obj, to_child)
File "D:\loading\python3.8\lib\multiprocessing\reduction.py", line 60, in dump
ForkingPickler(file, protocol).dump(obj)
_pickle.PicklingError: Can't pickle <class '__main__.douyin_webcast'>: it's not the same object as __main__.douyin_webcast
回答:
变量传递出错 进程间对象共用不了 target
传进去也不是同一个对象了 要用线程才是同一个对象
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