eitsupi commented on code in PR #13641:
URL: https://github.com/apache/arrow/pull/13641#discussion_r928066536
##########
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:
Since dtplyr does not do collect, perhaps it would be more consistent to not
do collect here as well.
https://github.com/tidyverse/dtplyr/blob/2181de14668fdad46f5068b56bd34e440b3b6749/R/step-call.R#L208-L214
``` r
mtcars |> dtplyr::lazy_dt() |> unique()
#> Source: local data table [32 x 11]
#> Call: unique(`_DT1`)
#>
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 21 6 160 110 3.9 2.62 16.5 0 1 4 4
#> 2 21 6 160 110 3.9 2.88 17.0 0 1 4 4
#> 3 22.8 4 108 93 3.85 2.32 18.6 1 1 4 1
#> 4 21.4 6 258 110 3.08 3.22 19.4 1 0 3 1
#> 5 18.7 8 360 175 3.15 3.44 17.0 0 0 3 2
#> 6 18.1 6 225 105 2.76 3.46 20.2 1 0 3 1
#> # … with 26 more rows
#>
#> # Use as.data.table()/as.data.frame()/as_tibble() to access results
```
<sup>Created on 2022-07-23 by the [reprex
package](https://reprex.tidyverse.org) (v2.0.1)</sup>
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