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From marmb...@apache.org
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 <andykonwinski@gmail.com>

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

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


Project: http://git-wip-us.apache.org/repos/asf/spark/repo
Commit: http://git-wip-us.apache.org/repos/asf/spark/commit/cec1116b
Tree: http://git-wip-us.apache.org/repos/asf/spark/tree/cec1116b
Diff: http://git-wip-us.apache.org/repos/asf/spark/diff/cec1116b

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

----------------------------------------------------------------------
 docs/sql-programming-guide.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)
----------------------------------------------------------------------


http://git-wip-us.apache.org/repos/asf/spark/blob/cec1116b/docs/sql-programming-guide.md
----------------------------------------------------------------------
diff --git a/docs/sql-programming-guide.md b/docs/sql-programming-guide.md
index 48e8267..5500da8 100644
--- a/docs/sql-programming-guide.md
+++ b/docs/sql-programming-guide.md
@@ -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
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
 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/).


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