New submission from Chris Curvey:
on http://docs.python.org/2/library/multiprocessing.html, there is a bit about
how to use a Pool properly, which looks like this
pool = Pool(processes=4) # start 4 worker processes
result = pool.apply_async(f, [10])
What this neglects to mention is that only one process will get any of the
work. If you really want four processes in the pool to work, you have to call
apply_async four times. For example:
results = []
pool = Pool(processes=4)
for i in xrange(4):
results.append(pool.apply_async(f, [10]))
hat tip to
http://stackoverflow.com/questions/12483512/python-multiprocessing-apply-async-only-uses-one-process
----------
assignee: docs@python
components: Documentation
messages: 194115
nosy: Chris.Curvey, docs@python
priority: normal
severity: normal
status: open
title: multiprocessing page leaves out important part of Pool example
type: enhancement
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Python tracker <rep...@bugs.python.org>
<http://bugs.python.org/issue18620>
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