uros-db commented on code in PR #45856:
URL: https://github.com/apache/spark/pull/45856#discussion_r1550949300


##########
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/regexpExpressions.scala:
##########
@@ -543,25 +543,52 @@ case class RLike(left: Expression, right: Expression) 
extends StringRegexExpress
 case class StringSplit(str: Expression, regex: Expression, limit: Expression)
   extends TernaryExpression with ImplicitCastInputTypes with NullIntolerant {
 
-  override def dataType: DataType = ArrayType(StringType, containsNull = false)
-  override def inputTypes: Seq[DataType] = Seq(StringType, StringType, 
IntegerType)
+  override def dataType: DataType = ArrayType(str.dataType, containsNull = 
false)
+  override def inputTypes: Seq[AbstractDataType] =
+    Seq(StringTypeAnyCollation, StringTypeAnyCollation, IntegerType)
+
+  override def checkInputDataTypes(): TypeCheckResult = str.dataType match {
+    case s: StringType =>
+      if (s.supportsBinaryEquality || s.isUTF8BinaryLcaseCollation) {
+        super.checkInputDataTypes()
+      } else {
+        TypeCheckFailure("Unsupported collation: " +
+          CollationFactory.fetchCollation(s.collationId).collationName)
+      }
+    case _ => super.checkInputDataTypes()
+  }
+
   override def first: Expression = str
   override def second: Expression = regex
   override def third: Expression = limit
 
+  private def collationId = str.dataType.asInstanceOf[StringType].collationId
+  private def binarySplit = 
CollationFactory.fetchCollation(collationId).supportsBinaryEquality
+
   def this(exp: Expression, regex: Expression) = this(exp, regex, Literal(-1))
 
   override def nullSafeEval(string: Any, regex: Any, limit: Any): Any = {
-    val strings = string.asInstanceOf[UTF8String].split(
-      regex.asInstanceOf[UTF8String], limit.asInstanceOf[Int])
+    val strings = if (binarySplit) {
+      string.asInstanceOf[UTF8String].split(
+        regex.asInstanceOf[UTF8String], limit.asInstanceOf[Int])
+    } else {
+      string.asInstanceOf[UTF8String].splitCaseInsensitive(
+        regex.asInstanceOf[UTF8String], limit.asInstanceOf[Int])

Review Comment:
   I don't think branching here is a good idea



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