python中共享数组的RawArray的最大大小

Question

When trying to create an array to use for shared memory in multiple processes, I am getting an assertion error:

    shared_array = RawArray('d', xsize)
  File "C:\Python27\lib\multiprocessing\sharedctypes.py", line 88, in RawArray
    obj = _new_value(type_)
  File "C:\Python27\lib\multiprocessing\sharedctypes.py", line 68, in _new_value
    wrapper = heap.BufferWrapper(size)
  File "C:\Python27\lib\multiprocessing\heap.py", line 242, in __init__
    assert 0 <= size < sys.maxint
AssertionError

It seems that it is above some maxint number, however, even when I run a basic example like below:

from multiprocessing.sharedctypes import RawArray
import sys

xsize = 999999999
#create an empty array    
print('MaxInt:',sys.maxint)
print('My Size:',xsize)
shared_array = RawArray('d', xsize)

The print statements show:

('MaxInt:', 2147483647)
('My Size:', 999999999)

Why is this happening, and how can I make a shared array for multiprocessing when having very large arrays? My computer has 128GB of RAM, so that shouldn't be the issue.

Answer 1

an int here will be a "C style" int, which tends to be 4 bytes, but you ask for it, and hence the maximum size of an array by doing:

from sys import maxint
from ctypes import sizeof, c_int

maxint // sizeof(c_int)

which for you (having a 32bit build) will be ~512M elements. However if you are running a 32bit build then your address space will be a much greater limiting factor, and you almost certainly won't be able to allocate an array that big.

I'm using a 64bit builds of Python 2.7 and 3.7, where sys.maxint and sys.maxsize are both 2**63-1 , and both allow me to allocate an array with a billion ( 10**9 ) elements (and I can see Python having a ~4GB RSS ), albeit taking a while to zero it all out.