[GitHub] [spark] HyukjinKwon commented on a diff in pull request #38793: [SPARK-41256][CONNECT] Implement DataFrame.withColumn(s)

[GitBox <gi...@apache.org>]

HyukjinKwon commented on code in PR #38793:
URL: https://github.com/apache/spark/pull/38793#discussion_r1031955610


##########
connector/connect/src/main/protobuf/spark/connect/relations.proto:
##########
@@ -457,3 +458,16 @@ message RenameColumnsByNameToNameMap {
   // duplicated B are not allowed.
   map<string, string> rename_columns_map = 2;
 }
+
+// Adding columns or replacing the existing columns that has the same names.
+message WithColumns {
+  // (Required) The input relation.
+  Relation input = 1;
+
+  // (Required)
+  //
+  // Given a column name, apply corresponding expression on the column. If column
+  // name exists in the input relation, then replacing the column. if column name
+  // does not exist in the input relation, then adding the column.
+  map<string, Expression> cols_map = 2;

Review Comment:
   In fact, we can keep the order in `withColumns` by using `scala.collection.immutable.ListMap`. e.g.,) 
   
   ```scala
   spark.range(1).withColumns(scala.collection.immutable.ListMap("id" -> $"id"))
   ```
   
   So, it's up to users to decide if they care the order or not.



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