zero323 commented on a change in pull request #29813:
URL: https://github.com/apache/spark/pull/29813#discussion_r491709568
##########
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:
Sounds good, but for consistency it should fixed in Python and Scala as
well.
Should it be
> columns will be filled as null.
or
> columns will be filled with null.
though?
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