multiprocessing.Manager nested shared objects doesn#39;t work with Queue(multiprocessing.Manager 嵌套共享对象不适用于队列)
问题描述
Python docs of the multiprocessing module state:
Changed in version 3.6: Shared objects are capable of being nested. For example, a shared container object such as a shared list can contain other shared objects which will all be managed and synchronized by the
SyncManager.
This does work with list and dict. However, if I try to create a shared Queue inside a shared dict, I get an error:
>>> from multiprocessing import Manager
>>> m = Manager()
>>> d = m.dict()
>>> d['a'] = m.list()
>>> d['b'] = m.dict()
>>> d['c'] = m.Queue()
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "<string>", line 2, in __setitem__
File "/usr/lib/python3.6/multiprocessing/managers.py", line 772, in _callmethod
raise convert_to_error(kind, result)
multiprocessing.managers.RemoteError:
---------------------------------------------------------------------------
Traceback (most recent call last):
File "/usr/lib/python3.6/multiprocessing/managers.py", line 228, in serve_client
request = recv()
File "/usr/lib/python3.6/multiprocessing/connection.py", line 251, in recv
return _ForkingPickler.loads(buf.getbuffer())
File "/usr/lib/python3.6/multiprocessing/managers.py", line 881, in RebuildProxy
return func(token, serializer, incref=incref, **kwds)
TypeError: AutoProxy() got an unexpected keyword argument 'manager_owned'
---------------------------------------------------------------------------
Seems like https://hg.python.org/cpython/rev/39e7307f9aee is the changeset which introduced nested shared objects.
The error is caused by AutoProxy currently not handling all BaseProxy arguments. There's a pull request which has not been merged yet. You either need to monkey-patch AutoProxy, or you look into multiprocessing.managers.py and apply the changes in the patch here directly to your source code.
It's really important to fix both lines in the patch to prevent a memory leak in the server process. The manager_owned-flag is used to let the BaseProxy code know, when to skip a reference increment for a proxy the manager owns himself (through nesting).
这篇关于multiprocessing.Manager 嵌套共享对象不适用于队列的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持编程学习网!
本文标题为:multiprocessing.Manager 嵌套共享对象不适用于队列
基础教程推荐
- 与常规 dict 相比,Python manager.dict() 非常慢 2022-01-01
- 在 Celery 工作人员中捕获 Heroku SIGTERM 以优雅地关 2022-01-01
- pyserial - 可以从线程 a 写入串行端口,是否阻塞从线程 b 读取? 2022-01-01
- 由Python将MP3转换为MIDI(类型错误:无法加载插件:mtg-Melodia:Melodia) 2022-01-01
- 使用生成器和迭代器时 Python 多循环失败 2022-01-01
- 尝试制作WhatsApp机器人 2022-01-01
- Discord.py 缺少必需的参数 2022-01-01
- 将 x 轴刻度更改为自定义字符串 2022-01-01
- numpy float:比算术运算中内置的慢 10 倍? 2022-01-01
- 用 Python 编写 Fortran 无格式文件 2022-01-01
