[GitHub] [spark] zhengruifeng commented on a diff in pull request #40013: [SPARK-42367][CONNECT][PYTHON] `DataFrame.drop` should handle duplicated columns properly

["zhengruifeng (via GitHub)" <gi...@apache.org>]

zhengruifeng commented on code in PR #40013:
URL: https://github.com/apache/spark/pull/40013#discussion_r1116670536


##########
connector/connect/common/src/main/protobuf/spark/connect/relations.proto:
##########
@@ -318,10 +318,17 @@ message Drop {
   // (Required) The input relation.
   Relation input = 1;
 
-  // (Required) columns to drop.
+  // (Optional) columns to drop.
   //
-  // Should contain at least 1 item.
-  repeated Expression cols = 2;
+  // 'columns' and 'column_names' are mutually exclusive.
+  // If set, should contain at least 1 item.
+  repeated Expression columns = 2;
+
+  // (Optional) column names to drop.
+  //
+  // 'columns' and 'column_names' are mutually exclusive.

Review Comment:
   now we need both for python client, since the inputs can contain columns and names together



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