Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/17728#discussion_r112845286
--- Diff: R/pkg/R/DataFrame.R ---
@@ -3642,3 +3642,58 @@ setMethod("checkpoint",
df <- callJMethod(x@sdf, "checkpoint", as.logical(eager))
dataFrame(df)
})
+
+
+#' cube
+#'
+#' Create a multi-dimensional cube for the SparkDataFrame using the
specified columns.
+#'
+#' @param x a SparkDataFrame.
+#' @param ... variable(s) (character names(s) or Column(s)) to group on.
+#' @return A GroupedData.
+#' @family SparkDataFrame functions
+#' @aliases cube,SparkDataFrame-method
+#' @rdname cube
+#' @name cube
+#' @export
+#' @examples
+#' \dontrun{
+#' df <- createDataFrame(mtcars)
+#' mean(cube(df, "cyl", "gear", "am"), "mpg")
+#' }
+#' @note cube since 2.3.0
+setMethod("cube",
+ signature(x = "SparkDataFrame"),
+ function(x, ...) {
+ cols <- list(...)
--- End diff --
hmm, it's a bit odd to call rollup or cube that way but ok if other
languages leave that open too. but I'd say we should add a line to explain
"rollup or cube without column is the same as group_by" (or something better)
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