[SPARK-15268][SQL] Make JavaTypeInference work with UDTRegistration

## What changes were proposed in this pull request?

We have a private `UDTRegistration` API to register user defined type. Currently `JavaTypeInference` can't work with it. So `SparkSession.createDataFrame` from a bean class will not correctly infer the schema of the bean class.

## How was this patch tested?
`VectorUDTSuite`.

Author: Liang-Chi Hsieh <simonh@tw.ibm.com>

Closes #13046 from viirya/fix-udt-registry-javatypeinference.

1 files changed, 5 insertions, 0 deletions

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/JavaTypeInference.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/JavaTypeInference.scala
index 6f9fbbbead..92caf8f406 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/JavaTypeInference.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/JavaTypeInference.scala
@@ -63,6 +63,11 @@ object JavaTypeInference {
       case c: Class[_] if c.isAnnotationPresent(classOf[SQLUserDefinedType]) =>
         (c.getAnnotation(classOf[SQLUserDefinedType]).udt().newInstance(), true)
 
+      case c: Class[_] if UDTRegistration.exists(c.getName) =>
+        val udt = UDTRegistration.getUDTFor(c.getName).get.newInstance()
+          .asInstanceOf[UserDefinedType[_ >: Null]]
+        (udt, true)
+
       case c: Class[_] if c == classOf[java.lang.String] => (StringType, true)
       case c: Class[_] if c == classOf[Array[Byte]] => (BinaryType, true)