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:
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@@ -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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