Github user shivaram commented on a diff in the pull request:
https://github.com/apache/spark/pull/8952#discussion_r41538953
--- Diff: R/pkg/R/SQLContext.R ---
@@ -75,8 +75,8 @@ infer_type <- function(x) {
#'\dontrun{
#' sc <- sparkR.init()
#' sqlContext <- sparkRSQL.init(sc)
-#' rdd <- lapply(parallelize(sc, 1:10), function(x) list(a=x,
b=as.character(x)))
-#' df <- createDataFrame(sqlContext, rdd)
+#' df1 <- as.DataFrame(sqlContext, iris)
--- End diff --
`iris` is just a dataset present by default on all R installations. I think
its fine to use that.
Also I think its better to change the old examples as they use the RDD API
which is not public.
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