Github user marmbrus commented on a diff in the pull request:
https://github.com/apache/spark/pull/999#discussion_r13826595
--- Diff: docs/sql-programming-guide.md ---
@@ -17,20 +17,20 @@ Spark. At the core of this component is a new type of
RDD,
[Row](api/scala/index.html#org.apache.spark.sql.catalyst.expressions.Row)
objects along with
a schema that describes the data types of each column in the row. A
SchemaRDD is similar to a table
in a traditional relational database. A SchemaRDD can be created from an
existing RDD, [Parquet](http://parquet.io)
-file, or by running HiveQL against data stored in [Apache
Hive](http://hive.apache.org/).
+file, a JSON dataset, or by running HiveQL against data stored in [Apache
Hive](http://hive.apache.org/).
All of the examples on this page use sample data included in the Spark
distribution and can be run in the `spark-shell`.
</div>
<div data-lang="java" markdown="1">
-Spark SQL allows relational queries expressed in SQL, HiveQL, or Scala to
be executed using
+Spark SQL allows relational queries expressed in SQL or HiveQL to be
executed using
--- End diff --
Why remove scala?
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