MichaelChirico commented on a change in pull request #29813:
URL: https://github.com/apache/spark/pull/29813#discussion_r491706032
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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
+#' different set of column names between two `SparkDataFrames`.
+#' Missing columns at each side, will be filled with null values.
+#' The missing columns at left `SparkDataFrame` will be added at the end in
the schema
+#' of the union result.
+#'
#' Note: This does not remove duplicate rows across the two SparkDataFrames.
#' This function resolves columns by name (not by position).
#'
#' @param x A SparkDataFrame
#' @param y A SparkDataFrame
+#' @param allowMissingColumns logical
+#' @param ... further arguments to be passed to or from other methods.
Review comment:
nvm, seen below it's added to the generic
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