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| author | gatorsmile <gatorsmile@gmail.com> | 2015-12-18 20:06:05 -0800 |
|---|---|---|
| committer | Davies Liu <davies.liu@gmail.com> | 2015-12-18 20:06:05 -0800 |
| commit | 499ac3e69a102f9b10a1d7e14382fa191516f7b5 (patch) | |
| tree | dcb84cda0ddb75094a39946dfd09f0ed29dd058c /external | |
| parent | a78a91f4d7239c14bd5d0b18cdc87d55594a8d8a (diff) | |
| download | spark-499ac3e69a102f9b10a1d7e14382fa191516f7b5.tar.gz spark-499ac3e69a102f9b10a1d7e14382fa191516f7b5.tar.bz2 spark-499ac3e69a102f9b10a1d7e14382fa191516f7b5.zip | |
[SPARK-12091] [PYSPARK] Deprecate the JAVA-specific deserialized storage levels
The current default storage level of Python persist API is MEMORY_ONLY_SER. This is different from the default level MEMORY_ONLY in the official document and RDD APIs.
davies Is this inconsistency intentional? Thanks!
Updates: Since the data is always serialized on the Python side, the storage levels of JAVA-specific deserialization are not removed, such as MEMORY_ONLY.
Updates: Based on the reviewers' feedback. In Python, stored objects will always be serialized with the [Pickle](https://docs.python.org/2/library/pickle.html) library, so it does not matter whether you choose a serialized level. The available storage levels in Python include `MEMORY_ONLY`, `MEMORY_ONLY_2`, `MEMORY_AND_DISK`, `MEMORY_AND_DISK_2`, `DISK_ONLY`, `DISK_ONLY_2` and `OFF_HEAP`.
Author: gatorsmile <gatorsmile@gmail.com>
Closes #10092 from gatorsmile/persistStorageLevel.
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