Repository: spark
Updated Branches:
  refs/heads/branch-2.0 12a2e2a5a -> 949544d01


[SPARK-17347][SQL][EXAMPLES] Encoder in Dataset example has incorrect type

## What changes were proposed in this pull request?

We propose to fix the Encoder type in the Dataset example

## How was this patch tested?

The PR will be tested with the current unit test cases

Author: CodingCat <zhunans...@gmail.com>

Closes #14901 from CodingCat/SPARK-17347.

(cherry picked from commit 97da41039b2b8fa7f93caf213ae45b9973925995)
Signed-off-by: Sean Owen <so...@cloudera.com>


Project: http://git-wip-us.apache.org/repos/asf/spark/repo
Commit: http://git-wip-us.apache.org/repos/asf/spark/commit/949544d0
Tree: http://git-wip-us.apache.org/repos/asf/spark/tree/949544d0
Diff: http://git-wip-us.apache.org/repos/asf/spark/diff/949544d0

Branch: refs/heads/branch-2.0
Commit: 949544d017ab25b43b683cd5c1e6783d87bfce45
Parents: 12a2e2a
Author: CodingCat <zhunans...@gmail.com>
Authored: Sat Sep 3 10:03:40 2016 +0100
Committer: Sean Owen <so...@cloudera.com>
Committed: Sat Sep 3 10:03:48 2016 +0100

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 .../main/scala/org/apache/spark/examples/sql/SparkSQLExample.scala | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)
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http://git-wip-us.apache.org/repos/asf/spark/blob/949544d0/examples/src/main/scala/org/apache/spark/examples/sql/SparkSQLExample.scala
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diff --git 
a/examples/src/main/scala/org/apache/spark/examples/sql/SparkSQLExample.scala 
b/examples/src/main/scala/org/apache/spark/examples/sql/SparkSQLExample.scala
index 5cd437d..129b81d 100644
--- 
a/examples/src/main/scala/org/apache/spark/examples/sql/SparkSQLExample.scala
+++ 
b/examples/src/main/scala/org/apache/spark/examples/sql/SparkSQLExample.scala
@@ -203,7 +203,7 @@ object SparkSQLExample {
     // No pre-defined encoders for Dataset[Map[K,V]], define explicitly
     implicit val mapEncoder = org.apache.spark.sql.Encoders.kryo[Map[String, 
Any]]
     // Primitive types and case classes can be also defined as
-    implicit val stringIntMapEncoder: Encoder[Map[String, Int]] = 
ExpressionEncoder()
+    // implicit val stringIntMapEncoder: Encoder[Map[String, Any]] = 
ExpressionEncoder()
 
     // row.getValuesMap[T] retrieves multiple columns at once into a 
Map[String, T]
     teenagersDF.map(teenager => teenager.getValuesMap[Any](List("name", 
"age"))).collect()


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