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author | Davies Liu <davies.liu@gmail.com> | 2014-10-10 14:14:05 -0700 |
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committer | Josh Rosen <joshrosen@apache.org> | 2014-10-10 14:14:05 -0700 |
commit | 72f36ee571ad27c7c7c70bb9aecc7e6ef51dfd44 (patch) | |
tree | 091ca732b2b48875c478e416807e28a23f0916d7 /pom.xml | |
parent | 90f73fcc47c7bf881f808653d46a9936f37c3c31 (diff) | |
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[SPARK-3886] [PySpark] use AutoBatchedSerializer by default
Use AutoBatchedSerializer by default, which will choose the proper batch size based on size of serialized objects, let the size of serialized batch fall in into [64k - 640k].
In JVM, the serializer will also track the objects in batch to figure out duplicated objects, larger batch may cause OOM in JVM.
Author: Davies Liu <davies.liu@gmail.com>
Closes #2740 from davies/batchsize and squashes the following commits:
52cdb88 [Davies Liu] update docs
185f2b9 [Davies Liu] use AutoBatchedSerializer by default
Diffstat (limited to 'pom.xml')
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