[SPARK-12393] [SparkR] Add read.text and write.text for SparkR

R/pkg/NAMESPACE

@@ -94,7 +94,8 @@ exportMethods("arrange",
               "withColumnRenamed",
               "write.df",
               "write.json",
-              "write.parquet")
+              "write.parquet",
+              "write.text")
 
 exportClasses("Column")
 
@@ -274,6 +275,7 @@ export("as.DataFrame",
        "parquetFile",
        "read.df",
        "read.parquet",
+       "read.text",
        "sql",
        "table",
        "tableNames",

R/pkg/R/DataFrame.R

@@ -661,6 +661,34 @@ setMethod("saveAsParquetFile",
             write.parquet(x, path)
           })
 
+#' write.text
+#'
+#' Saves the content of the DataFrame in a text file at the specified path.
+#' The DataFrame must have only one column that is of string type.
+#' Each row becomes a new line in the output file.
+#'
+#' @param x A SparkSQL DataFrame
+#' @param path The directory where the file is saved
+#'
+#' @family DataFrame functions
+#' @rdname write.text
+#' @name write.text
+#' @export
+#' @examples
+#'\dontrun{
+#' sc <- sparkR.init()
+#' sqlContext <- sparkRSQL.init(sc)
+#' path <- "path/to/file.json"
+#' df <- read.json(sqlContext, path)
+#' write.text(df, "/tmp/sparkr-tmp/")
+#'}
+setMethod("write.text",
+          signature(x = "DataFrame", path = "character"),
+          function(x, path) {
+            write <- callJMethod(x@sdf, "write")
+            invisible(callJMethod(write, "text", path))
+          })
+
 #' Distinct
 #'
 #' Return a new DataFrame containing the distinct rows in this DataFrame.

R/pkg/R/SQLContext.R

@@ -295,6 +295,32 @@ parquetFile <- function(sqlContext, ...) {
   dataFrame(sdf)
 }
 
+#' Create a DataFrame from a text file.
+#'
+#' Loads a text file and returns a DataFrame with a single string column named "value".
+#' Each line in the text file is a new row in the resulting DataFrame.
+#'
+#' @param sqlContext SQLContext to use
+#' @param path Path of file to read. A vector of multiple paths is allowed.
+#' @return DataFrame
+#' @rdname read.text
+#' @name read.text
+#' @export
+#' @examples
+#'\dontrun{
+#' sc <- sparkR.init()
+#' sqlContext <- sparkRSQL.init(sc)
+#' path <- "path/to/file.txt"
+#' df <- read.text(sqlContext, path)
+#' }
+read.text <- function(sqlContext, path) {
+  # Allow the user to have a more flexible definiton of the text file path
+  paths <- as.list(suppressWarnings(normalizePath(path)))
+  read <- callJMethod(sqlContext, "read")
+  sdf <- callJMethod(read, "text", paths)
+  dataFrame(sdf)
+}
+
 #' SQL Query
 #'
 #' Executes a SQL query using Spark, returning the result as a DataFrame.

R/pkg/R/generics.R

@@ -549,6 +549,10 @@ setGeneric("write.parquet", function(x, path) { standardGeneric("write.parquet")
 #' @export
 setGeneric("saveAsParquetFile", function(x, path) { standardGeneric("saveAsParquetFile") })
 
+#' @rdname write.text
+#' @export
+setGeneric("write.text", function(x, path) { standardGeneric("write.text") })
+
 #' @rdname schema
 #' @export
 setGeneric("schema", function(x) { standardGeneric("schema") })

R/pkg/inst/tests/testthat/test_sparkSQL.R

@@ -1481,6 +1481,25 @@ test_that("read/write Parquet files", {
   unlink(parquetPath4)
 })
 
+test_that("read/write text files", {
+  # Test write.df and read.df
+  df <- read.df(sqlContext, jsonPath, "text")
+  expect_is(df, "DataFrame")
+  expect_equal(colnames(df), c("value"))
+  expect_equal(count(df), 3)
+  textPath <- tempfile(pattern = "textPath", fileext = ".txt")
+  write.df(df, textPath, "text", mode="overwrite")
+
+  # Test write.text and read.text
+  textPath2 <- tempfile(pattern = "textPath2", fileext = ".txt")
+  write.text(df, textPath2)
+  df2 <- read.text(sqlContext, c(textPath, textPath2))
+  expect_is(df2, "DataFrame")
+  expect_equal(colnames(df2), c("value"))
+  expect_equal(count(df2), count(df) * 2)
+
+})
+
 test_that("describe() and summarize() on a DataFrame", {
   df <- read.json(sqlContext, jsonPath)
   stats <- describe(df, "age")