amaliujia commented on code in PR #40400:
URL: https://github.com/apache/spark/pull/40400#discussion_r1151093946
##########
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/types/PhysicalDataType.scala:
##########
@@ -19,43 +19,46 @@ package org.apache.spark.sql.catalyst.types
import org.apache.spark.sql.types._
+
sealed abstract class PhysicalDataType
+sealed abstract class PhysicalPrimitiveType extends PhysicalDataType
Review Comment:
Just for my own education:
what is the pros/cons of adding `class` versus `trait` to act as base and
shared interface here?
I am thinking to move some DataType stuff to here and one example is the
Ordering implementation which I thought to define as a trait but not a
`PhysicalDataTypeWithOrdering` class
```
trait Ordering {
private[sql] type InternalType
private[sql] val tag: TypeTag[InternalType]
private[sql] val ordering: Ordering[InternalType]
}
```
##########
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/types/PhysicalDataType.scala:
##########
@@ -19,43 +19,46 @@ package org.apache.spark.sql.catalyst.types
import org.apache.spark.sql.types._
+
sealed abstract class PhysicalDataType
+sealed abstract class PhysicalPrimitiveType extends PhysicalDataType
Review Comment:
cc @cloud-fan
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