MaxGekk commented on a change in pull request #34446:
URL: https://github.com/apache/spark/pull/34446#discussion_r739631666



##########
File path: 
sql/core/src/test/scala/org/apache/spark/sql/execution/vectorized/ColumnarBatchSuite.scala
##########
@@ -1688,6 +1688,45 @@ class ColumnarBatchSuite extends SparkFunSuite {
     }
   }
 
+  test("RowToColumnConverter for AnsiIntervalType") {

Review comment:
       Add JIRA ID:
   ```suggestion
     test("SPARK-37161: RowToColumnConverter for AnsiIntervalType") {
   ```

##########
File path: sql/core/src/main/scala/org/apache/spark/sql/execution/Columnar.scala
##########
@@ -260,9 +260,9 @@ private object RowToColumnConverter {
       case BooleanType => BooleanConverter
       case ByteType => ByteConverter
       case ShortType => ShortConverter
-      case IntegerType | DateType => IntConverter
+      case IntegerType | DateType | YearMonthIntervalType(_, _) => IntConverter

Review comment:
       Please, use _: YearMonthIntervalType. In this ways, your code won't 
depend on the number of parameters. Also, see 
https://github.com/databricks/scala-style-guide#pattern-matching :
   _"If the only goal is to match on the type of the object, do NOT expand 
fully all the arguments, as it makes refactoring more difficult and the code 
more error prone."_




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