cloud-fan commented on code in PR #40300:
URL: https://github.com/apache/spark/pull/40300#discussion_r1127307622


##########
sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala:
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@@ -2714,6 +2726,17 @@ class Dataset[T] private[sql](
    */
   def withColumn(colName: String, col: Column): DataFrame = 
withColumns(Seq(colName), Seq(col))
 
+  /**
+   * Returns a new Dataset by selecting a metadata column with the given 
logical name.
+   *
+   * A metadata column can be accessed this way even if the underlying data 
source defines a data
+   * column with a conflicting name.
+   *
+   * @group untypedrel
+   * @since 4.0.0
+   */
+  def withMetadataColumn(colName: String): DataFrame = withColumn(colName, 
metadataColumn(colName))

Review Comment:
   This is a weird API as there is no `withColumn` function that takes only a 
string parameter.



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