Is there a version of withColumn or withColumnRenamed that accept Column instead of String? That way I can specify FQN in case when there is duplicate column names.
I can Drop column based on Column type argument then why can't I rename them based on same type argument. Use case is, I have Dataframe with duplicate columns at end of the join. Most of the time I drop duplicate but now I need to rename one of those column. I can not do it because there is no API that . I can rename it before the join but that is not preferred. def withColumn(colName: String, col: Column): DataFrame Returns a new Dataset by adding a column or replacing the existing column that has the same name. def withColumnRenamed(existingName: String, newName: String): DataFrame Returns a new Dataset with a column renamed. I think there should also be this one: def withColumnRenamed(existingName: *Column*, newName: *Column*): DataFrame Returns a new Dataset with a column renamed. -- <http://www.xactlycorp.com/email-click/> <https://www.instagram.com/xactlycorp/> <https://www.linkedin.com/company/xactly-corporation> <https://twitter.com/Xactly> <https://www.facebook.com/XactlyCorp> <http://www.youtube.com/xactlycorporation>
