stefankandic commented on code in PR #48663:
URL: https://github.com/apache/spark/pull/48663#discussion_r1849977110


##########
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/complexTypeCreator.scala:
##########
@@ -565,11 +565,14 @@ case class StringToMap(text: Expression, pairDelim: 
Expression, keyValueDelim: E
   extends TernaryExpression with ExpectsInputTypes {
   override def nullIntolerant: Boolean = true
   def this(child: Expression, pairDelim: Expression) = {
-    this(child, pairDelim, Literal(":"))
+    this(child, pairDelim, Literal.create(":", SQLConf.get.defaultStringType))

Review Comment:
   I completely agree, however right now we don't have any logic in master 
branch that determines default collation and we are just using session 
collation. But I am addressing this in the other PR.



##########
sql/core/src/test/resources/sql-tests/analyzer-results/collations.sql.out:
##########
@@ -2332,14 +2332,9 @@ Project [left(collate(utf8_binary#x, utf8_lcase), 2) AS 
left(collate(utf8_binary
 -- !query
 select rpad(utf8_binary, 8, utf8_lcase) from t5

Review Comment:
   Yes, the output data type will always be of the `str` parameter.



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