dongkelun commented on a change in pull request #3517:
URL: https://github.com/apache/hudi/pull/3517#discussion_r713041105



##########
File path: 
hudi-spark-datasource/hudi-spark/src/main/scala/org/apache/spark/sql/hudi/command/MergeIntoHoodieTableCommand.scala
##########
@@ -196,9 +196,11 @@ case class MergeIntoHoodieTableCommand(mergeInto: 
MergeIntoTable) extends Runnab
   }
 
   private def isEqualToTarget(targetColumnName: String, sourceExpression: 
Expression): Boolean = {
+    val sourceColNameMap = sourceDFOutput.map(attr => (attr.name.toLowerCase, 
attr.name)).toMap
+
     sourceExpression match {
-      case attr: AttributeReference if 
attr.name.equalsIgnoreCase(targetColumnName) => true
-      case Cast(attr: AttributeReference, _, _) if 
attr.name.equalsIgnoreCase(targetColumnName) => true
+      case attr: AttributeReference if 
sourceColNameMap(attr.name.toLowerCase).equals(targetColumnName) => true

Review comment:
       Hi,is it like this?
   ```scala
   val resolver = sparkSession.sessionState.conf.resolver
   case attr: AttributeReference if resolver(attr.name, targetColumnName) => 
true
   ```
   I'm not sure if I understand,resolver is not case sensitive when comparing 
equality.However, the comparison of equality here must be case 
sensitive.Therefore, use sourceColNameMap(attr.name.toLowerCase) to obtain the 
original column name of source table without case conversion,Then compare with 
targetcolumnname for equality.If not, add the corresponding column name with 
withcolumn later. It is case sensitive because sourceDF is case sensitive when 
writing data.




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