Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/13760#discussion_r67777816
--- Diff: R/pkg/R/group.R ---
@@ -191,18 +184,72 @@ createMethods()
setMethod("gapply",
signature(x = "GroupedData"),
function(x, func, schema) {
- try(if (is.null(schema)) stop("schema cannot be NULL"))
- packageNamesArr <- serialize(.sparkREnv[[".packages"]],
- connection = NULL)
- broadcastArr <- lapply(ls(.broadcastNames),
- function(name) { get(name, .broadcastNames)
})
- sdf <- callJStatic(
- "org.apache.spark.sql.api.r.SQLUtils",
- "gapply",
- x@sgd,
- serialize(cleanClosure(func), connection = NULL),
- packageNamesArr,
- broadcastArr,
- schema$jobj)
- dataFrame(sdf)
+ gapplyInternal(x, func, schema)
+ })
+
+#' gapplyCollect
+#'
+#' Applies a R function to each group in the input GroupedData and
collects the result
+#' back to R as a data.frame.
+#'
+#' @param x a GroupedData
+#' @param func A function to be applied to each group partition specified
by GroupedData.
+#' 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.
+#' @return a SparkDataFrame
+#' @rdname gapplyCollect
+#' @name gapplyCollect
+#' @seealso gapply \link{gapply}
--- End diff --
same here?
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