cloud-fan commented on code in PR #45643:
URL: https://github.com/apache/spark/pull/45643#discussion_r1537153386
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sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/stringExpressions.scala:
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@@ -1377,17 +1394,34 @@ case class StringInstr(str: Expression, substr:
Expression)
override def left: Expression = str
override def right: Expression = substr
override def dataType: DataType = IntegerType
- override def inputTypes: Seq[DataType] = Seq(StringType, StringType)
+ override def inputTypes: Seq[AbstractDataType] =
+ Seq(StringTypeAnyCollation, StringTypeAnyCollation)
override def nullSafeEval(string: Any, sub: Any): Any = {
- string.asInstanceOf[UTF8String].indexOf(sub.asInstanceOf[UTF8String], 0) +
1
+ val collationId = left.dataType.asInstanceOf[StringType].collationId
+ string.asInstanceOf[UTF8String].indexOf(sub.asInstanceOf[UTF8String], 0,
collationId) + 1
+ }
+
+ override def checkInputDataTypes(): TypeCheckResult = {
+ val defaultCheck = super.checkInputDataTypes()
+ if (defaultCheck.isFailure) {
+ return defaultCheck
+ }
+
+ val collationId = left.dataType.asInstanceOf[StringType].collationId
+ CollationTypeConstraints.checkCollationCompatibility(collationId,
children.map(_.dataType))
Review Comment:
@dbatomic I think we should have a framework-level collation compatibility
check.
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