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Date: Thu, 31 Jul 2014 12:00:43 -0700
From: Charles Hixson <charleshixsn@earthlink.net>
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Subject: multiprocessing vs. asyncio.SubprocessProtocol
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Xref: csiph.com comp.lang.python:75434

What are the tradeoffs between using multiprocessing vs. using 
asyncio.SubprocessProtocol?
This only one that I've noticed is that asyncio seems to require much 
more hands-on management of message queueing.  OTOH, I'm no expert in 
either of them, and I might be missing something that will bite me later.

OTOH, I could do the whole thing with a TCP/IP peer-to-peer setup on 
localhost.  And that's much easier to figure out.  (Each process has one 
input queue, and runs until it receives a message telling it to die.  
JSON is all I need for serialization...though ast.literal_eval would 
work as well.)

So I guess I also want to know whether there's any advantage in using 
multiprocessing vs using a datagram transmission over localhost.  (That 
clearly has the advantage that it makes it easier to grow to multiple 
machines.)