python - Force multiprocessing.Array to be created in memory instead of on disk -

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i using python 3.4 on linux. want create array in ram shared processes spawned multiprocessing module (i.e. shared memory). according documentation, should possible using multiprocessing.array. when use

array = multiprocessing.array('i', n)

python creates file in /tmp, zeroes it, , uses through mmap.mmap() shared memory (i have verified looking /usr/lib/python3.4/multiprocessing/heap.py). however, array created in memory, not on disk. reason in use case, n large (more 100 gb), have lot of ram low disk capacity. creation of multiprocessing.array() ends ioerror: no space left on device because uses file on disk shared memory rather ram.

i able around mounting directory via tmpfs , setting tempfile.tempdir point directory. however, there easier way? why python creating shared memory in way?

the short answer no. long answer, read this:

enter link description here

you can use os.fork() pass copy of parent's memory child can't share address space.


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