Github user shivaram commented on a diff in the pull request:
https://github.com/apache/spark/pull/12836#discussion_r67266001
--- Diff: R/pkg/R/DataFrame.R ---
@@ -1266,6 +1266,83 @@ setMethod("dapplyCollect",
ldf
})
+#' gapply
+#'
+#' Group the SparkDataFrame using the specified columns and apply the R
function to each
+#' group.
+#'
+#' @param x A SparkDataFrame
+#' @param cols Grouping columns
+#' @param func A function to be applied to each group partition specified
by grouping
+#' column of the SparkDataFrame. The function `func` takes as
argument
+#' a key - grouping columns and a data frame - a local R
data.frame.
+#' The output of `func` is a local R data.frame.
+#' @param schema The schema of the resulting SparkDataFrame after the
function is applied.
--- End diff --
Yeah thats fine. Also in the example below where we construct `schema` you
can add a comment line which looks like `Here our output contains 2 columns,
the key which is a integer and the mean which is a double`.
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