paleolimbot commented on code in PR #13641:
URL: https://github.com/apache/arrow/pull/13641#discussion_r928885064
##########
r/R/dplyr.R:
##########
@@ -184,6 +184,29 @@ dim.arrow_dplyr_query <- function(x) {
c(rows, cols)
}
+#' @export
+unique.arrow_dplyr_query <- function(x, incomparables = FALSE, fromLast =
FALSE, ...) {
+
+ if (incomparables == TRUE) {
+ arrow_not_supported("`unique()` with `incomparables = TRUE`")
+ }
+
+ if (fromLast == TRUE) {
+ arrow_not_supported("`unique()` with `fromLast = TRUE`")
+ }
+
+ x <- dplyr::distinct(x)
+ dplyr::collect(x)
Review Comment:
Perhaps `unique()` should return the same type as the input (except maybe
for Dataset, where returning an arrow_dplyr_query is safer)? I don't think
anybody would expect to `collect()` if doing `unique(some_table)`, but when a
pipeline starts with a dataset I think it's reasonable to force an explicit
collect at the end?
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