Github user marmbrus commented on a diff in the pull request:
https://github.com/apache/spark/pull/13184#discussion_r63801142
--- Diff: R/pkg/R/SQLContext.R ---
@@ -298,6 +298,8 @@ parquetFile <- function(sqlContext, ...) {
#' Create a SparkDataFrame from a text file.
#'
#' Loads a text file and returns a SparkDataFrame with a single string
column named "value".
+#' If the directory structure of the text files contains partitioning
information, those are
+#' ignored in the resulting DataFrame.
--- End diff --
Say explicitly to use `spark.read.format("text")` if you want to include
partition columns when present?
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