AngersZhuuuu commented on a change in pull request #29054:
URL: https://github.com/apache/spark/pull/29054#discussion_r452901062



##########
File path: 
sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveSessionCatalog.scala
##########
@@ -69,49 +69,56 @@ private[sql] class HiveSessionCatalog(
     // Current thread context classloader may not be the one loaded the class. 
Need to switch
     // context classloader to initialize instance properly.
     Utils.withContextClassLoader(clazz.getClassLoader) {
-      Try(super.makeFunctionExpression(name, clazz, input)).getOrElse {
-        var udfExpr: Option[Expression] = None
-        try {
-          // When we instantiate hive UDF wrapper class, we may throw 
exception if the input
-          // expressions don't satisfy the hive UDF, such as type mismatch, 
input number
-          // mismatch, etc. Here we catch the exception and throw 
AnalysisException instead.
-          if (classOf[UDF].isAssignableFrom(clazz)) {
-            udfExpr = Some(HiveSimpleUDF(name, new 
HiveFunctionWrapper(clazz.getName), input))
-            udfExpr.get.dataType // Force it to check input data types.
-          } else if (classOf[GenericUDF].isAssignableFrom(clazz)) {
-            udfExpr = Some(HiveGenericUDF(name, new 
HiveFunctionWrapper(clazz.getName), input))
-            udfExpr.get.dataType // Force it to check input data types.
-          } else if 
(classOf[AbstractGenericUDAFResolver].isAssignableFrom(clazz)) {
-            udfExpr = Some(HiveUDAFFunction(name, new 
HiveFunctionWrapper(clazz.getName), input))
-            udfExpr.get.dataType // Force it to check input data types.
-          } else if (classOf[UDAF].isAssignableFrom(clazz)) {
-            udfExpr = Some(HiveUDAFFunction(
-              name,
-              new HiveFunctionWrapper(clazz.getName),
-              input,
-              isUDAFBridgeRequired = true))
-            udfExpr.get.dataType // Force it to check input data types.
-          } else if (classOf[GenericUDTF].isAssignableFrom(clazz)) {
-            udfExpr = Some(HiveGenericUDTF(name, new 
HiveFunctionWrapper(clazz.getName), input))
-            udfExpr.get.asInstanceOf[HiveGenericUDTF].elementSchema // Force 
it to check data types.
+      Try(super.makeFunctionExpression(name, clazz, input)) match {

Review comment:
       > `try` is the way as in the guideline. But in general I would like to 
avoid changing the indentation for unrelated codes and make it difficult to see 
what's the real diff. Such pattern makes it more difficult to backport and 
revert. Let's avoid this @AngersZhuuuu next time. The actual diff seems just 
adding more message in the exception.
   
   Since I always backport pr, I know the point you mentioned,  I will notice 
this more carefully. 
   Yea, the actual diff is to show more message but since we need to know the 
exception in return Failure(exception), so we can't use `getOrElse()`




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