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| author | felixcheung <felixcheung_m@hotmail.com> | 2016-04-23 00:20:27 -0700 |
|---|---|---|
| committer | Reynold Xin <rxin@databricks.com> | 2016-04-23 00:20:27 -0700 |
| commit | a55fbe2a16aa0866ff8aca25bf9f772e6eb516a1 (patch) | |
| tree | 3c29aa4d17cad1c88f6eb989cae5a207077de689 /examples/src/main/java/org | |
| parent | 86ca8fefc8a147b31952b8a00e58e46d93bb8bc4 (diff) | |
| download | spark-a55fbe2a16aa0866ff8aca25bf9f772e6eb516a1.tar.gz spark-a55fbe2a16aa0866ff8aca25bf9f772e6eb516a1.tar.bz2 spark-a55fbe2a16aa0866ff8aca25bf9f772e6eb516a1.zip | |
[SPARK-12148][SPARKR] SparkR: rename DataFrame to SparkDataFrame
## What changes were proposed in this pull request?
Changed class name defined in R from "DataFrame" to "SparkDataFrame". A popular package, S4Vector already defines "DataFrame" - this change is to avoid conflict.
Aside from class name and API/roxygen2 references, SparkR APIs like `createDataFrame`, `as.DataFrame` are not changed (S4Vector does not define a "as.DataFrame").
Since in R, one would rarely reference type/class, this change should have minimal/almost-no impact to a SparkR user in terms of back compat.
## How was this patch tested?
SparkR tests, manually loading S4Vector then SparkR package
Author: felixcheung <felixcheung_m@hotmail.com>
Closes #12621 from felixcheung/rdataframe.
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