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authorWindson yang <wiwindson@outlook.com>2019-01-25 12:01:41 (GMT)
committerAntoine Pitrou <pitrou@free.fr>2019-01-25 12:01:41 (GMT)
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bpo-34134: Advise to use imap or imap_unordered when handling long iterables. (gh-8324)
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-rw-r--r--Doc/library/multiprocessing.rst6
1 files changed, 5 insertions, 1 deletions
diff --git a/Doc/library/multiprocessing.rst b/Doc/library/multiprocessing.rst
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--- a/Doc/library/multiprocessing.rst
+++ b/Doc/library/multiprocessing.rst
@@ -2157,6 +2157,10 @@ with the :class:`Pool` class.
the process pool as separate tasks. The (approximate) size of these
chunks can be specified by setting *chunksize* to a positive integer.
+ Note that it may cause high memory usage for very long iterables. Consider
+ using :meth:`imap` or :meth:`imap_unordered` with explicit *chunksize*
+ option for better efficiency.
+
.. method:: map_async(func, iterable[, chunksize[, callback[, error_callback]]])
A variant of the :meth:`.map` method which returns a result object.
@@ -2175,7 +2179,7 @@ with the :class:`Pool` class.
.. method:: imap(func, iterable[, chunksize])
- A lazier version of :meth:`map`.
+ A lazier version of :meth:`.map`.
The *chunksize* argument is the same as the one used by the :meth:`.map`
method. For very long iterables using a large value for *chunksize* can