mihailom-db commented on code in PR #45693:
URL: https://github.com/apache/spark/pull/45693#discussion_r1548527496
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sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/collectionOperations.scala:
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@@ -1994,17 +1995,23 @@ case class Slice(x: Expression, start: Expression,
length: Expression)
case class ArrayJoin(
array: Expression,
delimiter: Expression,
- nullReplacement: Option[Expression]) extends Expression with
ExpectsInputTypes {
+ nullReplacement: Option[Expression]) extends ImplicitCastInputTypes {
def this(array: Expression, delimiter: Expression) = this(array, delimiter,
None)
def this(array: Expression, delimiter: Expression, nullReplacement:
Expression) =
this(array, delimiter, Some(nullReplacement))
- override def inputTypes: Seq[AbstractDataType] = if
(nullReplacement.isDefined) {
- Seq(ArrayType(StringType), StringType, StringType)
- } else {
- Seq(ArrayType(StringType), StringType)
+ override def inputTypes: Seq[AbstractDataType] = {
+ val arrayType = array.dataType.asInstanceOf[ArrayType].elementType match {
+ case _: StringType => array.dataType
+ case _ => ArrayType(StringType)
+ }
+ if (nullReplacement.isDefined) {
+ Seq(arrayType, StringTypeAnyCollation, StringTypeAnyCollation)
+ } else {
+ Seq(arrayType, StringTypeAnyCollation)
+ }
Review Comment:
ArrayJoin should be fine with only ArrayType. This is because TypeCoercion
rules in FunctionArgumentConversion cast this argument to ArrayType(StringType)
and catalyst rules will loop over this and cast it to proper collation if
necessary.
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