gengliangwang commented on a change in pull request #33115:
URL: https://github.com/apache/spark/pull/33115#discussion_r659866760
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File path:
sql/catalyst/src/main/scala/org/apache/spark/sql/types/AbstractDataType.scala
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@@ -217,3 +217,14 @@ private[sql] abstract class FractionalType extends
NumericType {
private[sql] val fractional: Fractional[InternalType]
private[sql] val asIntegral: Integral[InternalType]
}
+
+private[sql] object AnyTimestampType extends AbstractDataType with
Serializable {
Review comment:
Yes, I will have a follow-up for that.
There is another reason, in the default type coercion rules, when implicit
casting a type to a `TypeCollection` type, Spark chooses the first convertible
data type as the result. If we are going to make the default timestamp type
configurable, having `AnyTimestampType` is better.
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