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Removing unused Pyarrow Info (#7207)

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ijrsvt
2020-02-21 17:07:27 -08:00
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commit 325fc24afa
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doc/source/serialization.rst
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@@ -15,13 +15,13 @@ Overview
Objects that are serialized for transfer among Ray processes go through three stages:
**1. Serialize using pyarrow**: Below is the set of Python objects that Ray can serialize using ``pyarrow``:
**1. Serialize directly**: Below is the set of Python objects that Ray can serialize using ``memcpy``:
1. Primitive types: ints, floats, longs, bools, strings, unicode, and numpy arrays.
2. Any list, dictionary, or tuple whose elements can be serialized by Ray.
**2. ``__dict__`` serialization**: If a direct usage of PyArrow is not possible, Ray will recursively extract the object’s ``__dict__`` and serialize that using pyarrow. This behavior is not correct in all cases.
**2. ``__dict__`` serialization**: If a direct usage is not possible, Ray will recursively extract the object’s ``__dict__`` and serialize that directly. This behavior is not correct in all cases.
**3. Cloudpickle**: Ray falls back to ``cloudpickle`` as a final attempt for serialization. This may be slow.