Github user maropu commented on a diff in the pull request: https://github.com/apache/spark/pull/5395#discussion_r28346473 --- Diff: sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveInspectors.scala --- @@ -213,8 +215,16 @@ private[hive] trait HiveInspectors { case c: Class[_] if c.isArray => ArrayType(javaClassToDataType(c.getComponentType)) + // list type + case c: Class[_] if c == classOf[java.util.List[java.lang.Object]] => + logWarning("Failed to catch a correct component type in List<> because of type erasure," + + " so you need to handle it correctly by yourself") + ArrayType(ErasedType) + // Hive seems to return this for struct types? case c: Class[_] if c == classOf[java.lang.Object] => NullType + + case c => throw new HiveDataTypeException("Unknown java type: " + c) --- End diff -- s"Unsupported java type $c" seems to be better in this error message because this method is not only designed for UDF.
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