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Diffstat (limited to 'docs/sql-programming-guide.md')
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diff --git a/docs/sql-programming-guide.md b/docs/sql-programming-guide.md index 3f1b73a830..d334a86bc7 100644 --- a/docs/sql-programming-guide.md +++ b/docs/sql-programming-guide.md @@ -140,7 +140,7 @@ As an example, the following creates a DataFrame based on the content of a JSON ## Untyped Dataset Operations (aka DataFrame Operations) -DataFrames provide a domain-specific language for structured data manipulation in [Scala](api/scala/index.html#org.apache.spark.sql.Dataset), [Java](api/java/index.html?org/apache/spark/sql/Dataset.html), [Python](api/python/pyspark.sql.html#pyspark.sql.DataFrame) and [R](api/R/DataFrame.html). +DataFrames provide a domain-specific language for structured data manipulation in [Scala](api/scala/index.html#org.apache.spark.sql.Dataset), [Java](api/java/index.html?org/apache/spark/sql/Dataset.html), [Python](api/python/pyspark.sql.html#pyspark.sql.DataFrame) and [R](api/R/SparkDataFrame.html). As mentioned above, in Spark 2.0, DataFrames are just Dataset of `Row`s in Scala and Java API. These operations are also referred as "untyped transformations" in contrast to "typed transformations" come with strongly typed Scala/Java Datasets. |