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| author | NarineK <narine.kokhlikyan@us.ibm.com> | 2016-05-05 12:00:55 -0700 |
|---|---|---|
| committer | Davies Liu <davies.liu@gmail.com> | 2016-05-05 12:00:55 -0700 |
| commit | 22226fcc926f9d3b8aa7b47dcd9847021e6a6879 (patch) | |
| tree | 5d3087226563265109c82c9130ff5de6b5eac8b2 /.gitignore | |
| parent | ac12b35d31ef1d1663511bf6ae826a9cc0278f20 (diff) | |
| download | spark-22226fcc926f9d3b8aa7b47dcd9847021e6a6879.tar.gz spark-22226fcc926f9d3b8aa7b47dcd9847021e6a6879.tar.bz2 spark-22226fcc926f9d3b8aa7b47dcd9847021e6a6879.zip | |
[SPARK-15110] [SPARKR] Implement repartitionByColumn for SparkR DataFrames
## What changes were proposed in this pull request?
Implement repartitionByColumn on DataFrame.
This will allow us to run R functions on each partition identified by column groups with dapply() method.
## How was this patch tested?
Unit tests
Author: NarineK <narine.kokhlikyan@us.ibm.com>
Closes #12887 from NarineK/repartitionByColumns.
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