Issue
I need to communicate between processes in Python and am using asyncio
in each of the processes for concurrent network IO.
Currently I'm using multiprocessing.Pipe
to send
and recv
significantly large amounts of data between the processes, however I do so outside of asyncio
and I believe I'm spending a lot of cpu time in IO_WAIT
because of it.
It seems like asyncio
can and should be used to handle the Pipe IO between processes, however I can't find an example for anything but piping STDIN/STDOUT.
From what I read it seems like I should register the pipe with loop.connect_read_pipe(PROTOCOL_FACTORY, PIPE)
and likewise for write. However I don't understand the purpose of protocol_factory
as it would relate to a multiprocessing.Pipe
. It's not even clear if I should be creating a multiprocessing.Pipe
or whether I can create a pipe within asyncio
.
Solution
aiopipe
seems to do what you want! It can be used with the builtin multiprocessing
module, and provides a similar API to the regular blocking pipes.
Answered By - kmaork
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