From a83d8d5adcb4e0061e43105767242ba9770dda96 Mon Sep 17 00:00:00 2001
From: hyukjinkwon <gurwls223@gmail.com>
Date: Thu, 26 Oct 2017 20:54:36 +0900
Subject: [PATCH] [SPARK-17902][R] Revive stringsAsFactors option for collect()
 in SparkR

## What changes were proposed in this pull request?

This PR proposes to revive `stringsAsFactors` option in collect API, which was mistakenly removed in https://github.com/apache/spark/commit/71a138cd0e0a14e8426f97877e3b52a562bbd02c.

Simply, it casts `charactor` to `factor` if it meets the condition, `stringsAsFactors && is.character(vec)` in primitive type conversion.

## How was this patch tested?

Unit test in `R/pkg/tests/fulltests/test_sparkSQL.R`.

Author: hyukjinkwon <gurwls223@gmail.com>

Closes #19551 from HyukjinKwon/SPARK-17902.
---
 R/pkg/R/DataFrame.R                   | 3 +++
 R/pkg/tests/fulltests/test_sparkSQL.R | 6 ++++++
 2 files changed, 9 insertions(+)

diff --git a/R/pkg/R/DataFrame.R b/R/pkg/R/DataFrame.R
index 176bb3b8a8..aaa3349d57 100644
--- a/R/pkg/R/DataFrame.R
+++ b/R/pkg/R/DataFrame.R
@@ -1191,6 +1191,9 @@ setMethod("collect",
                     vec <- do.call(c, col)
                     stopifnot(class(vec) != "list")
                     class(vec) <- PRIMITIVE_TYPES[[colType]]
+                    if (is.character(vec) && stringsAsFactors) {
+                      vec <- as.factor(vec)
+                    }
                     df[[colIndex]] <- vec
                   } else {
                     df[[colIndex]] <- col
diff --git a/R/pkg/tests/fulltests/test_sparkSQL.R b/R/pkg/tests/fulltests/test_sparkSQL.R
index 4382ef2ed4..0c8118a7c7 100644
--- a/R/pkg/tests/fulltests/test_sparkSQL.R
+++ b/R/pkg/tests/fulltests/test_sparkSQL.R
@@ -499,6 +499,12 @@ test_that("create DataFrame with different data types", {
   expect_equal(collect(df), data.frame(l, stringsAsFactors = FALSE))
 })
 
+test_that("SPARK-17902: collect() with stringsAsFactors enabled", {
+  df <- suppressWarnings(collect(createDataFrame(iris), stringsAsFactors = TRUE))
+  expect_equal(class(iris$Species), class(df$Species))
+  expect_equal(iris$Species, df$Species)
+})
+
 test_that("SPARK-17811: can create DataFrame containing NA as date and time", {
   df <- data.frame(
     id = 1:2,
-- 
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