GitHub user shivaram opened a pull request:
https://github.com/apache/spark/pull/6005
[SPARK-7231] [SPARKR] Changes to make SparkR DataFrame dplyr friendly.
Changes include
1. Rename sortDF to arrange
2. Add new aliases `group_by` and `sample_frac`, `summarize`
3. Add more user friendly column addition (mutate), rename
4. Support mean as an alias for avg in Scala and also support n_distinct, n
as in dplyr
Using these changes we can pretty much run the examples as described in
http://cran.rstudio.com/web/packages/dplyr/vignettes/introduction.html with the
same syntax
The only thing missing in SparkR is auto resolving column names when used
in an expression i.e. making something like `select(flights, delay)` works in
dply but we right now need `select(flights, flights$delay)` or `select(flights,
"delay")`. But this is a complicated change and I'll file a new issue for it
cc @sun-rui @rxin
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/shivaram/spark-1 sparkr-df-api
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/6005.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 #6005
----
commit 05211490e6e0dec3187131a465f251907cb77562
Author: Shivaram Venkataraman <[email protected]>
Date: 2015-05-08T07:18:29Z
Changes to make SparkR DataFrame dplyr friendly.
Changes include
1. Rename sortDF to arrange
2. Add new aliases `group_by` and `sample_frac`, `summarize`
3. Add more user friendly column addition (mutate), rename
4. Support mean as an alias for avg in Scala and also support n_distinct, n
as in dplyr
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