Github user chenghao-intel commented on a diff in the pull request:

    https://github.com/apache/spark/pull/2344#discussion_r17765726
  
    --- Diff: 
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/types/dataTypes.scala 
---
    @@ -170,6 +170,18 @@ case object TimestampType extends NativeType {
       def simpleString: String = "timestamp"
     }
     
    +case object DateType extends NativeType {
    +  private[sql] type JvmType = Date
    +
    +  @transient private[sql] lazy val tag = ScalaReflectionLock.synchronized 
{ typeTag[JvmType] }
    +
    +  private[sql] val ordering = new Ordering[JvmType] {
    +    def compare(x: Date, y: Date) = x.compareTo(y)
    --- End diff --
    
    I've checked the logic of `java.sql.Date`.`compareTo`, and it is not the 
same as `DateWritable`.`compareTo`, which is the internal representation in 
Hive. The former will compare its milliseconds, but the later only compare the 
`days since Epoch`, probably we need to follow the same semantic with Hive here.
    BTW: If we change the logic here, does that also mean we needn't cast the 
`date` to `string` for `BinaryPredicate` in `HiveTypeCoercion`?


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