GitHub user FRosner opened a pull request:
https://github.com/apache/spark/pull/9222
SPARK-11258 Remove quadratic runtime complexity for converting a Spark
DataFrame into an R data.frame
https://issues.apache.org/jira/browse/SPARK-11258
I was not able to locate an existing unit test for this function so I wrote
one.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/FRosner/spark master
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/9222.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 #9222
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commit e8ed0bd81f1eafafb0fa04eadf6b744baf712e88
Author: Frank Rosner <[email protected]>
Date: 2015-10-22T08:47:05Z
[SPARK-11258][SPARKR] convert obsolete comment into a type annotation
commit 4be5df3647673fe3aab3787da1301eac76be409f
Author: Frank Rosner <[email protected]>
Date: 2015-10-22T08:48:15Z
[SPARK-11258][SPARKR] provide test for existing dfToCols function
commit e85d42cdad0a2c10a3c6587cb8767824d1d80224
Author: Frank Rosner <[email protected]>
Date: 2015-10-22T08:48:47Z
[SPARK-11258][SPARKR] convert row to column wise representation in linear
time
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