将Python对象放置在共享内存中 [英] Placing Python objects in shared memory

问题描述

是否有一个Python模块可以使我将非平凡用户类的实例放置到共享内存中？

Is there a Python module that would enable me to place instances of non-trivial user classes into shared memory?

我的意思是直接在共享内存中分配为

By that I mean allocating directly in shared memory as opposed to pickling into and out of it.

multiprocessing.Value 和 multiprocessing.Array 不适用于我的用例，因为它们似乎仅支持原始类型及其数组。

multiprocessing.Value and multiprocessing.Array wouldn't work for my use case as they only seem to support primitive types and arrays thereof.

到目前为止，我唯一发现的是 POSH ，但八年来没有改变。这表明它要么非常稳定，要么已经过时。在我花时间尝试使其工作之前，我想知道是否还有其他我尚未发现的替代方法。

The only thing I've found so far is POSH, but it hasn't changed in eight years. This suggests that it's either super-stable or is out of date. Before I invest time in trying to get it work, I'd like to know if there are alternatives I haven't discovered yet.

我只需要这样做即可Linux。

I only need this to work on Linux.

推荐答案

这有点困难。我能想到的最佳解决方案是腌制对象并使用 c_char_p 与 multiprocessing.sharedctypes 。您仍然必须通过转义或转换为十六进制来确保没有空字节进入c_char_p。

That's kind of a tough one. The best solution I can think of is pickling your objects and using a c_char_p with multiprocessing.sharedctypes. You'd still have to make sure no null bytes got into the c_char_p, either by escaping them or converting to hex.

再三考虑，也许您应该使用POSH

On second thought, maybe you should go with POSH.

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