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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