cloud-fan commented on code in PR #58545:
URL: https://github.com/apache/spark/pull/58545#discussion_r3991529162


##########
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/json/JacksonParser.scala:
##########
@@ -617,16 +629,20 @@ class JacksonParser(
    */
   private def convertMap(
       parser: JsonParser,
-      fieldConverter: ValueConverter): MapData = {
+      fieldConverter: ValueConverter,
+      keyType: DataType,
+      valueType: DataType): MapData = {
     val keys = ArrayBuffer.empty[UTF8String]
     val values = ArrayBuffer.empty[Any]
     var badRecordException: Option[Throwable] = None
 
     while (nextUntil(parser, JsonToken.END_OBJECT)) {
-      keys += UTF8String.fromString(parser.currentName)
+      keys += CharVarcharUtils.applyTextParseSemantics(

Review Comment:
   Thanks, the atomic append fixes the unequal-array and sibling-recovery 
paths. The original two-entry case is still unresolved, though: dropping the 
malformed entry's raw key means `{"a":"bad","a ":2}` never reaches EXCEPTION. 
Could we track normalized-key collisions independently of whether a value is 
retained, so partial-result recovery cannot suppress mapKeyDedupPolicy?
   
   <!-- SPARK_DEV_REVIEW_REPLY 
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 -->



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