Github user hvanhovell commented on a diff in the pull request:

    https://github.com/apache/spark/pull/16886#discussion_r100544404
  
    --- Diff: 
sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveInspectors.scala ---
    @@ -218,22 +220,33 @@ private[hive] trait HiveInspectors {
         case c: Class[_] if c == java.lang.Float.TYPE => FloatType
         case c: Class[_] if c == java.lang.Boolean.TYPE => BooleanType
     
    -    case c: Class[_] if c.isArray => 
ArrayType(javaClassToDataType(c.getComponentType))
    +    case c: Class[_] if c.isArray => 
ArrayType(javaTypeToDataType(c.getComponentType))
     
         // Hive seems to return this for struct types?
         case c: Class[_] if c == classOf[java.lang.Object] => NullType
     
    -    // java list type unsupported
    +    // raw java list type unsupported
         case c: Class[_] if c == classOf[java.util.List[_]] =>
           throw new AnalysisException(
    -        "List type in java is unsupported because " +
    -        "JVM type erasure makes spark fail to catch a component type in 
List<>")
    +        "Raw list type in java is unsupported because Spark cannot infer 
the element type.")
     
    -    // java map type unsupported
    +    // raw java map type unsupported
         case c: Class[_] if c == classOf[java.util.Map[_, _]] =>
           throw new AnalysisException(
    -        "Map type in java is unsupported because " +
    -        "JVM type erasure makes spark fail to catch key and value types in 
Map<>")
    +        "Raw map type in java is unsupported because Spark cannot infer 
key and value types.")
    +
    +    case p: ParameterizedType if p.getRawType == 
classOf[java.util.List[_]] =>
    +      val Array(elementType) = p.getActualTypeArguments
    +      ArrayType(javaTypeToDataType(elementType))
    +
    +    case p: ParameterizedType if p.getRawType == classOf[java.util.Map[_, 
_]] =>
    +      val Array(keyType, valueType) = p.getActualTypeArguments
    +      MapType(javaTypeToDataType(keyType), javaTypeToDataType(valueType))
    +
    +    case _: WildcardType =>
    +      throw new AnalysisException(
    +        "Collection types with wildcards (e.g. List<?> or Map<?, ?>) are 
unsupported because " +
    +          "Spark cannot infer the data type for these type parameters.")
    --- End diff --
    
    `BoundedType` is a mockito class and not a JVM class. A bound type that 
cannot be translated to a `DataType` is caught by the final case in the match.


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