Github user shivaram commented on a diff in the pull request:
https://github.com/apache/spark/pull/8864#discussion_r40580851
--- Diff: R/pkg/R/DataFrame.R ---
@@ -946,15 +946,36 @@ setMethod("foreachPartition",
############################## SELECT ##################################
-getColumn <- function(x, c) {
- column(callJMethod(x@sdf, "col", c))
-}
+#' Select a column
+#'
+#' Selects column based on the column name and return it as a Column.
+#' Note that the column name can also reference to a nested column like
`a.b`.
+#'
+#' @param x A SparkSQL DataFrame
+#'
+#' @rdname select
+#' @name col
+#' @aliases col
+#' @export
+#' @examples
+#'\dontrun{
+#' sc <- sparkR.init()
+#' sqlContext <- sparkRSQL.init(sc)
+#' df <- createDataFrame(sqlContext, list(50, 60, 70), "age")
+#' col(df, "age")
+#'}
+setMethod("col",
--- End diff --
Yeah but in terms of exporting this I'm not sure we need another method for
the users ?
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