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Commit cec1116b authored by Andy Konwinski's avatar Andy Konwinski Committed by Michael Armbrust
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[DOCS][SQL] Fix broken link to Row class scaladoc

Author: Andy Konwinski <andykonwinski@gmail.com>

Closes #3323 from andyk/patch-2 and squashes the following commits:

4699fdc [Andy Konwinski] Fix broken link to Row class scaladoc
parent dbb9da5c
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...@@ -14,7 +14,7 @@ title: Spark SQL Programming Guide ...@@ -14,7 +14,7 @@ title: Spark SQL Programming Guide
Spark SQL allows relational queries expressed in SQL, HiveQL, or Scala to be executed using Spark SQL allows relational queries expressed in SQL, HiveQL, or Scala to be executed using
Spark. At the core of this component is a new type of RDD, Spark. At the core of this component is a new type of RDD,
[SchemaRDD](api/scala/index.html#org.apache.spark.sql.SchemaRDD). SchemaRDDs are composed of [SchemaRDD](api/scala/index.html#org.apache.spark.sql.SchemaRDD). SchemaRDDs are composed of
[Row](api/scala/index.html#org.apache.spark.sql.catalyst.expressions.Row) objects, along with [Row](api/scala/index.html#org.apache.spark.sql.package@Row:org.apache.spark.sql.catalyst.expressions.Row.type) objects, along with
a schema that describes the data types of each column in the row. A SchemaRDD is similar to a table 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, a [Parquet](http://parquet.io) in a traditional relational database. A SchemaRDD can be created from an existing RDD, a [Parquet](http://parquet.io)
file, a JSON dataset, 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/).
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