Github user dongjoon-hyun commented on a diff in the pull request: https://github.com/apache/spark/pull/13751#discussion_r67604919 --- Diff: docs/sparkr.md --- @@ -91,17 +86,17 @@ The following options can be set in `sparkEnvir` with `sparkR.init` from RStudio </div> -## Creating DataFrames -With a `SQLContext`, applications can create `DataFrame`s from a local R data frame, from a [Hive table](sql-programming-guide.html#hive-tables), or from other [data sources](sql-programming-guide.html#data-sources). +## Creating SparkDataFrames +With a `SparkSession`, applications can create `SparkDataFrame`s from a local R data frame, from a [Hive table](sql-programming-guide.html#hive-tables), or from other [data sources](sql-programming-guide.html#data-sources). ### From local data frames -The simplest way to create a data frame is to convert a local R data frame into a SparkR DataFrame. Specifically we can use `createDataFrame` and pass in the local R data frame to create a SparkR DataFrame. As an example, the following creates a `DataFrame` based using the `faithful` dataset from R. +The simplest way to create a data frame is to convert a local R data frame into a SparkDataFrame. Specifically we can use `createDataFrame` and pass in the local R data frame to create a SparkDataFrame. As an example, the following creates a `SparkDataFrame` based using the `faithful` dataset from R. --- End diff -- `create a SparkDataFrame` -> `create a SparkDataFrame`. There are double space characters between `a` and `SparkDataFrame`.
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