[GitHub] [spark] MichaelChirico commented on a change in pull request #29813: [SPARK-32799][R][SQL] Add allowMissingColumns to SparkR unionByName

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

MichaelChirico commented on a change in pull request #29813:
URL: https://github.com/apache/spark/pull/29813#discussion_r491705832



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File path: R/pkg/R/DataFrame.R
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@@ -2863,11 +2863,19 @@ setMethod("unionAll",
 #' \code{UNION ALL} and \code{UNION DISTINCT} in SQL as column positions are not taken
 #' into account. Input SparkDataFrames can have different data types in the schema.
 #'
+#' When the parameter `allowMissingColumns` is `TRUE`, this function allows

Review comment:
       Grammar revision:
   
   > When the parameter `allowMissingColumns` is `TRUE`, the set of column names in `x` and `y` can differ; missing columns will be filled as null. Further, the missing columns of `x` will be added at the end in the schema of the union result.




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