[R] dplyr n function cannot be called with dplyr::n()

[asfimport]

I am trying to summarize an arrow dataset in R using the n function from dplyr, but I noticed that it does not work when called via the dplyr::n syntax, even though it works fine just as n. I also tried the n_distinct function with the same issue

library(arrow)
#> 
#> Attaching package: 'arrow'
#> The following object is masked from 'package:utils':
#> 
#>     timestamp
library(dplyr)
#> 
#> Attaching package: 'dplyr'
#> The following objects are masked from 'package:stats':
#> 
#>     filter, lag
#> The following objects are masked from 'package:base':
#> 
#>     intersect, setdiff, setequal, union
dir<-file.path(tempdir(), "test-data")
test_data <- data.frame(A=1:10)
write_dataset(test_data, dir)

1. This does work
   data2<-open_dataset(dir)%>%
       summarise(N=n())
   data2
#> FileSystemDataset (query)
#> N: int32
#> 
#> See $.data for the source Arrow object
collect(data2)
#> # A tibble: 1 × 1
#>       N
#>   <int>
#> 1    10

1. But this does not work
   data1<-open_dataset(dir)%>%
       summarise(N=dplyr::n())
#> Error: Error : Expression dplyr::n() not supported in Arrow
#> Call collect() first to pull data into R.
data1
#> Error in eval(expr, envir, enclos): object 'data1' not found

^{Created on 2022-05-13 by the reprex package (v2.0.1)}

Session info

sessioninfo::session_info()
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#> ──────────────────────────────────────────────────────────────────────────────

Reporter: Sam Bashevkin

Related issues:

• [R] Allow functions with {{pkg::}} prefixes (duplicates)

_{Note: This issue was originally created as ARROW-16577. Please see the migration documentation for further details.}

[asfimport]

Jonathan Keane / @jonkeane:
Thanks for the report! We don't currently support calling functions with the package namespace attached — though it is something we are thinking about + something we plan to support (see ARROW-14575 for some discussion and possible approaches). We don't have a timeline for this, but it helps knowing that someone is looking for it!

If you don't mind, I'm going to close this issue, but please to feel free to continue the discussion on ARROW-14575

Thanks again!