Github user dongjoon-hyun commented on a diff in the pull request:
https://github.com/apache/spark/pull/13751#discussion_r67604494
--- Diff: docs/sparkr.md ---
@@ -14,29 +14,24 @@ supports operations like selection, filtering,
aggregation etc. (similar to R da
[dplyr](https://github.com/hadley/dplyr)) but on large datasets. SparkR
also supports distributed
machine learning using MLlib.
-# SparkR DataFrames
+# SparkDataFrames
-A DataFrame is a distributed collection of data organized into named
columns. It is conceptually
+A SparkDataFrame is a distributed collection of data organized into named
columns. It is conceptually
equivalent to a table in a relational database or a data frame in R, but
with richer
-optimizations under the hood. DataFrames can be constructed from a wide
array of sources such as:
+optimizations under the hood. SparkDataFrames can be constructed from a
wide array of sources such as:
structured data files, tables in Hive, external databases, or existing
local R data frames.
All of the examples on this page use sample data included in R or the
Spark distribution and can be run using the `./bin/sparkR` shell.
-## Starting Up: SparkContext, SQLContext
+## Starting Up: SparkSession
--- End diff --
This causes the broken links, too.
In `sparkR.R` line 95,
```
#'
\url{http://spark.apache.org/docs/latest/sparkr.html#starting-up-sparkcontext-sqlcontext}.
```
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