Github user davies commented on a diff in the pull request:
https://github.com/apache/spark/pull/12836#discussion_r61968540
--- Diff: R/pkg/inst/tests/testthat/test_sparkSQL.R ---
@@ -2083,6 +2083,46 @@ test_that("dapply() on a DataFrame", {
expect_identical(expected, result)
})
+test_that("gapply() on a DataFrame", {
+ df <- createDataFrame (
+ sqlContext,
+ list(list(1L, 1, "1", 0.1), list(1L, 2, "2", 0.2), list(3L, 3, "3",
0.3)),
+ c("a", "b", "c", "d"))
+ expected <- collect(df)
+ df1 <- gapply(df, function(x) { x }, schema(df), df$"a")
+ actual <- collect(df1)
+ expect_identical(actual, expected)
+
+ # Computes the sum of second column by grouping on the first column and
checks
+ # if the sum is larger than 2
+ schema <- structType(structField("a", "integer"), structField("e",
"boolean"))
+ df2 <- gapply(
+ df,
+ function(x) {
+ y <- data.frame(x$a[1], sum(x$b) > 2)
--- End diff --
Does this require that `x` is order by `a`?
If not, should gapply() could be done by dapply(repartition(df, "a"), f) ?
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