New submission from Zahari Dim: See:
http://stackoverflow.com/questions/30943161/multiprocessing-pool-with-maxtasksperchild-produces-equal-pids The documentation never makes clear what a "task" in the context of Pool.map. At best, it says: "This method chops the iterable into a number of chunks which it submits to the process pool as separate tasks. The (approximate) size of these chunks can be specified by setting chunksize to a positive integer." in the map documentation. However it does not say how this chunks are calculated by default, making the maxtasksperchild argument not very useful. The fact that a function evaluated by map is not a "task" should be much clearer in the documentation. Also, in the examples, such as: with multiprocessing.Pool(PROCESSES) as pool: # # Tests # TASKS = [(mul, (i, 7)) for i in range(10)] + \ [(plus, (i, 8)) for i in range(10)] results = [pool.apply_async(calculate, t) for t in TASKS] imap_it = pool.imap(calculatestar, TASKS) imap_unordered_it = pool.imap_unordered(calculatestar, TASKS) TASKS are not actually "tasks" but rather "task groups". ---------- assignee: docs@python components: Documentation messages: 245509 nosy: Zahari.Dim, docs@python priority: normal severity: normal status: open title: The docs never define what a pool "task" is versions: Python 2.7, Python 3.2, Python 3.3, Python 3.4, Python 3.5, Python 3.6 _______________________________________ Python tracker <rep...@bugs.python.org> <http://bugs.python.org/issue24475> _______________________________________ _______________________________________________ Python-bugs-list mailing list Unsubscribe: https://mail.python.org/mailman/options/python-bugs-list/archive%40mail-archive.com
