diff options
| author | felixcheung <felixcheung_m@hotmail.com> | 2015-08-28 18:35:01 -0700 |
|---|---|---|
| committer | Shivaram Venkataraman <shivaram@cs.berkeley.edu> | 2015-08-28 18:35:13 -0700 |
| commit | b7aab1d1838bdffdf29923fc0f18eb04e582957e (patch) | |
| tree | fb573e7fc44ceb04d648495eab66e35ee86aab74 /R/pkg/NAMESPACE | |
| parent | df4a2e68ad4117ffadd63f5032ff8ca4972c2772 (diff) | |
| download | spark-b7aab1d1838bdffdf29923fc0f18eb04e582957e.tar.gz spark-b7aab1d1838bdffdf29923fc0f18eb04e582957e.tar.bz2 spark-b7aab1d1838bdffdf29923fc0f18eb04e582957e.zip | |
[SPARK-9803] [SPARKR] Add subset and transform + tests
Add subset and transform
Also reorganize `[` & `[[` to subset instead of select
Note: for transform, transform is very similar to mutate. Spark doesn't seem to replace existing column with the name in mutate (ie. `mutate(df, age = df$age + 2)` - returned DataFrame has 2 columns with the same name 'age'), so therefore not doing that for now in transform.
Though it is clearly stated it should replace column with matching name (should I open a JIRA for mutate/transform?)
Author: felixcheung <felixcheung_m@hotmail.com>
Closes #8503 from felixcheung/rsubset_transform.
(cherry picked from commit 2a4e00ca4d4e7a148b4ff8ce0ad1c6d517cee55f)
Signed-off-by: Shivaram Venkataraman <shivaram@cs.berkeley.edu>
Diffstat (limited to 'R/pkg/NAMESPACE')
| -rw-r--r-- | R/pkg/NAMESPACE | 2 |
1 files changed, 2 insertions, 0 deletions
diff --git a/R/pkg/NAMESPACE b/R/pkg/NAMESPACE index 5286c01986..9d39630706 100644 --- a/R/pkg/NAMESPACE +++ b/R/pkg/NAMESPACE @@ -69,9 +69,11 @@ exportMethods("arrange", "selectExpr", "show", "showDF", + "subset", "summarize", "summary", "take", + "transform", "unionAll", "unique", "unpersist", |