Github user petermaxlee commented on a diff in the pull request:
https://github.com/apache/spark/pull/14389#discussion_r72881850
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/TypeCoercion.scala
---
@@ -99,45 +99,13 @@ object TypeCoercion {
case _ => None
}
- /** Similar to [[findTightestCommonType]], but can promote all the way
to StringType. */
- def findTightestCommonTypeToString(left: DataType, right: DataType):
Option[DataType] = {
- findTightestCommonTypeOfTwo(left, right).orElse((left, right) match {
- case (StringType, t2: AtomicType) if t2 != BinaryType && t2 !=
BooleanType => Some(StringType)
- case (t1: AtomicType, StringType) if t1 != BinaryType && t1 !=
BooleanType => Some(StringType)
- case _ => None
- })
- }
-
- /**
- * Similar to [[findTightestCommonType]], if can not find the
TightestCommonType, try to use
- * [[findTightestCommonTypeToString]] to find the TightestCommonType.
- */
- private def findTightestCommonTypeAndPromoteToString(types:
Seq[DataType]): Option[DataType] = {
- types.foldLeft[Option[DataType]](Some(NullType))((r, c) => r match {
- case None => None
- case Some(d) =>
- findTightestCommonTypeToString(d, c)
- })
- }
-
- /**
- * Find the tightest common type of a set of types by continuously
applying
- * `findTightestCommonTypeOfTwo` on these types.
- */
- private def findTightestCommonType(types: Seq[DataType]):
Option[DataType] = {
- types.foldLeft[Option[DataType]](Some(NullType))((r, c) => r match {
- case None => None
- case Some(d) => findTightestCommonTypeOfTwo(d, c)
- })
- }
-
/**
* Case 2 type widening (see the classdoc comment above for
TypeCoercion).
*
* i.e. the main difference with [[findTightestCommonTypeOfTwo]] is that
here we allow some
--- End diff --
done
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