maropu commented on issue #26599: [SPARK-29961][SQL] Implement builtin function - typeof URL: https://github.com/apache/spark/pull/26599#issuecomment-555893986 > We've marked UDT as interval API, I don't think we need to support it in the end-user function. Yea, I also think we don't need to support it. But, if we don't support it, I think we need to define `checkInputDataTypes` for `typeof`. Actually, it seems this pr hits weird exceptions for the type; ``` scala> sql("select * from t").show() +---+-------------+ | id| vector| +---+-------------+ | a|[1.0,2.0,3.0]| | b|[4.0,5.0,6.0]| +---+-------------+ scala> sql("select * from t").printSchema root |-- id: string (nullable = true) |-- vector: vector (nullable = true) scala> sql("select typeof(vector) from t").show() java.lang.ClassCastException: java.lang.String cannot be cast to org.apache.spark.unsafe.types.UTF8String at org.apache.spark.sql.catalyst.InternalRow$.$anonfun$getWriter$10(InternalRow.scala:176) at org.apache.spark.sql.catalyst.InternalRow$.$anonfun$getWriter$10$adapted(InternalRow.scala:176) at org.apache.spark.sql.catalyst.expressions.InterpretedMutableProjection.$anonfun$fieldWriters$2(InterpretedMutableProjection.scala:66) at org.apache.spark.sql.catalyst.expressions.InterpretedMutableProjection.$anonfun$fieldWriters$2$adapted(InterpretedMutableProjection.scala:66) at org.apache.spark.sql.catalyst.expressions.InterpretedMutableProjection.apply(InterpretedMutableProjection.scala:89) at org.apache.spark.sql.catalyst.optimizer.ConvertToLocalRelation$$anonfun$apply$17.$anonfun$applyOrElse$71(Optimizer.scala:1502) at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:238) at scala.collection.immutable.List.foreach(List.scala:392) at scala.collection.TraversableLike.map(TraversableLike.scal ```
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