Github user zero323 commented on a diff in the pull request: https://github.com/apache/spark/pull/17807#discussion_r114058802 --- Diff: R/pkg/R/functions.R --- @@ -3803,3 +3803,89 @@ setMethod("repeat_string", jc <- callJStatic("org.apache.spark.sql.functions", "repeat", x@jc, numToInt(n)) column(jc) }) + +#' is_grouping +#' +#' Indicates whether a specified column in a GROUP BY list is aggregated or not, +#' returns 1 for aggregated or 0 for not aggregated in the result set. +#' +#' Same as \code{GROUPING} in SQL and \code{grouping} function in Scala. +#' +#' @param x Column to compute on +#' +#' @rdname is_grouping +#' @name is_grouping +#' @family agg_funcs +#' @aliases is_grouping,Column-method +#' @export +#' @examples \dontrun{ +#' df <- createDataFrame(mtcars) +#' +#' # With cube +#' agg( +#' cube(df, "cyl", "gear", "am"), +#' mean(df$mpg), +#' is_grouping(df$cyl), is_grouping(df$gear), is_grouping(df$am) +#' ) +#' +#' # With rollup +#' agg( +#' rollup(df, "cyl", "gear", "am"), +#' mean(df$mpg), +#' is_grouping(df$cyl), is_grouping(df$gear), is_grouping(df$am) +#' ) +#' } +#' @note is_grouping since 2.3.0 +#' @seealso \link{cube}, \link{grouping_id}, \link{rollup} +setMethod("is_grouping", + signature(x = "Column"), + function(x) { + jc <- callJStatic("org.apache.spark.sql.functions", "grouping", x@jc) + column(jc) + }) + +#' grouping_id +#' +#' Returns the level of grouping. +#' +#' Equals to \code{ +#' (is_grouping(c1) <<; (n-1)) + (is_grouping(c2) <<; (n-2)) + ... + is_grouping(cn) --- End diff -- Actually I am not aware of any `base` implementation. Is there one?
--- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org