Github user marmbrus commented on a diff in the pull request:
https://github.com/apache/spark/pull/2621#discussion_r18433069
--- Diff:
sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveUdfSuite.scala
---
@@ -17,29 +17,32 @@
package org.apache.spark.sql.hive.execution
-import java.io.{DataOutput, DataInput}
+import java.io.{DataInput, DataOutput}
import java.util
import java.util.Properties
-import org.apache.spark.util.Utils
-
-import scala.collection.JavaConversions._
-
import org.apache.hadoop.conf.Configuration
-import org.apache.hadoop.hive.serde2.{SerDeStats, AbstractSerDe}
-import org.apache.hadoop.io.Writable
-import
org.apache.hadoop.hive.serde2.objectinspector.{ObjectInspectorFactory,
ObjectInspector}
-
-import
org.apache.hadoop.hive.serde2.objectinspector.primitive.PrimitiveObjectInspectorFactory
import org.apache.hadoop.hive.ql.udf.generic.GenericUDF
import org.apache.hadoop.hive.ql.udf.generic.GenericUDF.DeferredObject
-
+import
org.apache.hadoop.hive.serde2.objectinspector.primitive.PrimitiveObjectInspectorFactory
+import org.apache.hadoop.hive.serde2.objectinspector.{ObjectInspector,
ObjectInspectorFactory}
+import org.apache.hadoop.hive.serde2.{AbstractSerDe, SerDeStats}
+import org.apache.hadoop.io.Writable
import org.apache.spark.sql.Row
import org.apache.spark.sql.hive.test.TestHive
import org.apache.spark.sql.hive.test.TestHive._
+import org.apache.spark.util.Utils
+
+import scala.collection.JavaConversions._
case class Fields(f1: Int, f2: Int, f3: Int, f4: Int, f5: Int)
+// Case classes for the custom UDF's.
+case class IntegerCaseClass(i: Int)
+case class ListListIntCaseClass(lli: Seq[Tuple3[Int, Int, Int]])
--- End diff --
Use the idomatic syntax for tuple types: `Seq[(Int, Int, Int)]`
---
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