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Subject spark git commit: [DOCS][SQL] Fix broken link to Row class scaladoc
Date Mon, 17 Nov 2014 19:53:04 GMT
Repository: spark
Updated Branches:
  refs/heads/master dbb9da5c3 -> cec1116b4

[DOCS][SQL] Fix broken link to Row class scaladoc

Author: Andy Konwinski <>

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

4699fdc [Andy Konwinski] Fix broken link to Row class scaladoc


Branch: refs/heads/master
Commit: cec1116b4b80c36b36a8a13338b948e4d6ade377
Parents: dbb9da5
Author: Andy Konwinski <>
Authored: Mon Nov 17 11:52:23 2014 -0800
Committer: Michael Armbrust <>
Committed: Mon Nov 17 11:52:47 2014 -0800

 docs/ | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)
diff --git a/docs/ b/docs/
index 48e8267..5500da8 100644
--- a/docs/
+++ b/docs/
@@ -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.  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
-[Row](api/scala/index.html#org.apache.spark.sql.catalyst.expressions.Row) objects, along
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, a
 file, a JSON dataset, or by running HiveQL against data stored in [Apache Hive](

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