Github user NarineK commented on a diff in the pull request:
https://github.com/apache/spark/pull/12989#discussion_r62592006
--- Diff: R/pkg/inst/tests/testthat/test_sparkSQL.R ---
@@ -2070,6 +2072,16 @@ test_that("dapply() on a DataFrame", {
rownames(expected) <- NULL
expect_identical(expected, result)
+ result <- dapplyCollect(
+ df,
+ function(x) {
+ y <- x[x$a > 1, ]
+ y <- cbind(y, y$a + 1L)
--- End diff --
Maybe, we can add test cases where the function returns data.frame, list
and other data structures. What do you think ?
In general, it seems that we only support a subset of R's data types and
there might be issues when we train a model on a worker and try to pass that
model to a predict to make predictions using a separate dapply method.
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