yaooqinn commented on issue #26599: [SPARK-29961][SQL] Implement builtin function - typeof URL: https://github.com/apache/spark/pull/26599#issuecomment-555908306 > > 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 > ``` > InterpretedMutableProjection @maropu can you try this with the latest commit? thanks for verifying.
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