Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/8920#discussion_r40624302
--- Diff: R/pkg/R/DataFrame.R ---
@@ -1848,3 +1848,67 @@ setMethod("crosstab",
sct <- callJMethod(statFunctions, "crosstab", col1, col2)
collect(dataFrame(sct))
})
+
+#' Sort
+#'
+#' Sort a DataFrame by the specified column(s).
+#'
+#' @param x A DataFrame to be sorted.
+#' @param by A character column indicating the field to sort on
+#' @param decreasing Orderings for each sorting column
+#' @param ... Additional sorting fields
+#' @return A DataFrame where elements are sorted by input sorting columns.
+#' @rdname sort
+#' @name sort
+#' @aliases orderby
+#' @export
+#' @examples
+#'\dontrun{
+#' sc <- sparkR.init()
+#' sqlContext <- sparkRSQL.init(sc)
+#' path <- "path/to/file.json"
+#' df <- jsonFile(sqlContext, path)
+#' sort(df, TRUE, "col1","col2")
+#' sort(df, decreasing=TRUE, "col1")
+#' sort(df, decreasing=c(TRUE,FALSE), "col1","col2")
+#' }
+setMethod("sort",
+ signature(x = "DataFrame"),
+ function(x, decreasing=FALSE, col, ...) {
--- End diff --
I think we could have this similar to `arrange`? line 1310 of DataFrame.R
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