cloud-fan commented on code in PR #46280:
URL: https://github.com/apache/spark/pull/46280#discussion_r1603393035


##########
sql/api/src/main/scala/org/apache/spark/sql/types/DataType.scala:
##########
@@ -208,22 +206,35 @@ object DataType {
   }
 
   // NOTE: Map fields must be sorted in alphabetical order to keep consistent 
with the Python side.
-  private[sql] def parseDataType(json: JValue): DataType = json match {
+  private[sql] def parseDataType(
+      json: JValue,
+      fieldPath: String = "",
+      collationsMap: Map[String, String] = Map.empty): DataType = json match {
     case JString(name) =>
-      nameToType(name)
+      collationsMap.get(fieldPath) match {
+        case Some(collation) =>
+          assertValidTypeForCollations(fieldPath, name, collationsMap)
+          stringTypeWithCollation(collation)
+        case _ => nameToType(name)
+      }
 
     case JSortedObject(
     ("containsNull", JBool(n)),
     ("elementType", t: JValue),
     ("type", JString("array"))) =>
-      ArrayType(parseDataType(t), n)
+      assertValidTypeForCollations(fieldPath, "array", collationsMap)
+      val elementType = parseDataTypeWithCollation(t, fieldPath + ".element", 
collationsMap)
+      ArrayType(elementType, n)
 
     case JSortedObject(
     ("keyType", k: JValue),
     ("type", JString("map")),
     ("valueContainsNull", JBool(n)),
     ("valueType", v: JValue)) =>
-      MapType(parseDataType(k), parseDataType(v), n)
+      assertValidTypeForCollations(fieldPath, "map", collationsMap)

Review Comment:
   shall we do this assert in the StructType branch as well?



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