Github user shivaram commented on a diff in the pull request:
https://github.com/apache/spark/pull/8711#discussion_r39471840
--- Diff: R/pkg/inst/tests/test_sparkSQL.R ---
@@ -277,6 +289,24 @@ test_that("Collect DataFrame with complex types", {
expect_equal(ldf$c1, list(list(1, 2, 3), list(4, 5, 6), list (7, 8, 9)))
expect_equal(ldf$c2, list(list("a", "b", "c"), list("d", "e", "f"), list
("g", "h", "i")))
expect_equal(ldf$c3, list(list(1.0, 2.0, 3.0), list(4.0, 5.0, 6.0), list
(7.0, 8.0, 9.0)))
+
+ # MapType
+ schema <- structType(structField("name", "string"),
+ structField("info", "map<string,double>"))
+ df <- read.df(sqlContext, mapTypeJsonPath, "json", schema)
+ expect_equal(dtypes(df), list(c("name", "string"),
+ c("info", "map<string,double>")))
+ ldf <- collect(df)
+ expect_equal(nrow(ldf), 3)
+ expect_equal(ncol(ldf), 2)
+ expect_equal(names(ldf), c("name", "info"))
+ expect_equal(ldf$name, c("Bob", "Alice", "David"))
+ bob <- ldf$info[[1]]
+ expect_equal(class(bob), "environment")
+ expect_equal(bob$age, 16)
+ expect_equal(bob$height, 176.5)
+
--- End diff --
Could we also add a test for `infer_type` or `check_type` where the key
type is not string (i.e. test if we catch the error)
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