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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