Github user NarineK commented on a diff in the pull request:
https://github.com/apache/spark/pull/12887#discussion_r61991037
--- Diff: R/pkg/R/DataFrame.R ---
@@ -594,6 +594,35 @@ setMethod("repartition",
dataFrame(sdf)
})
+#' RepartitionByColumn
+#'
+#' Return a new SparkDataFrame which has as many partitions as the number
of unique
+#' groups identified by column(s) values which are being specified by the
input.
+#'
+#' @param x A SparkDataFrame
+#' @param col The column by which the partitioning will be performed
+#'
+#' @family SparkDataFrame functions
+#' @rdname repartition
+#' @name repartition
+#' @export
+#' @examples
+#'\dontrun{
+#' sc <- sparkR.init()
+#' sqlContext <- sparkRSQL.init(sc)
+#' path <- "path/to/file.json"
+#' df <- read.json(sqlContext, path)
+#' newDF <- repartitionByColumn(df, df$col1, df$col2)
+#'}
+setMethod("repartitionByColumn",
--- End diff --
Yes, it is one of the possible options.
We are not forcing by signature, but we have to do some checks instead.
Whichever you prefer, I'm fine with it too.
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