GitHub user davies opened a pull request:
https://github.com/apache/spark/pull/1598
[WIP] [SPARK-2010] [PySpark] support nested structure in SchemaRDD
Convert Row in JavaSchemaRDD into Array[Any] and unpickle them as tuple in
Python, then convert them into namedtuple when needed.
This will let nested structure can be accessed as object, also it will
reduce the size of serialized data and better performance.
PS: The code will be refactored later and more tests will be added.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/davies/spark nested
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/1598.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #1598
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commit 644665a2ebae4bc4a49f28152e3af00681affcc8
Author: Davies Liu <[email protected]>
Date: 2014-07-25T23:11:57Z
use tuple and namedtuple for schemardd
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