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[R] dplyr n function cannot be called with dplyr::n() #20246

Description

@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, uniondir<-file.path(tempdir(), "test-data")
test_data<-data.frame(A=1:10)
write_dataset(test_data, dir)
1.Thisdoesworkdata2<-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>#> 1 101.Butthisdoesnotworkdata1<-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()
#> ─ Session info ───────────────────────────────────────────────────────────────#> setting value#> version R version 4.2.0 (2022-04-22 ucrt)#> os Windows 10 x64 (build 19044)#> system x86_64, mingw32#> ui RTerm#> language (EN)#> collate English_United States.utf8#> ctype English_United States.utf8#> tz America/Los_Angeles#> date 2022-05-13#> pandoc 2.17.1.1 @ C:/Program Files/RStudio/bin/quarto/bin/ (via rmarkdown)##> ─ Packages ───────────────────────────────────────────────────────────────────#> package \* version date (UTC) lib source#> arrow \* 8.0.0 2022-05-09 [1] CRAN (R 4.2.0)#> assertthat 0.2.1 2019-03-21 [1] CRAN (R 4.2.0)#> bit 4.0.4 2020-08-04 [1] CRAN (R 4.2.0)#> bit64 4.0.5 2020-08-30 [1] CRAN (R 4.2.0)#> cli 3.3.0 2022-04-25 [1] CRAN (R 4.2.0)#> crayon 1.5.1 2022-03-26 [1] CRAN (R 4.2.0)#> DBI 1.1.2 2021-12-20 [1] CRAN (R 4.2.0)#> digest 0.6.29 2021-12-01 [1] CRAN (R 4.2.0)#> dplyr \* 1.0.9 2022-04-28 [1] CRAN (R 4.2.0)#> ellipsis 0.3.2 2021-04-29 [1] CRAN (R 4.2.0)#> evaluate 0.15 2022-02-18 [1] CRAN (R 4.2.0)#> fansi 1.0.3 2022-03-24 [1] CRAN (R 4.2.0)#> fastmap 1.1.0 2021-01-25 [1] CRAN (R 4.2.0)#> fs 1.5.2 2021-12-08 [1] CRAN (R 4.2.0)#> generics 0.1.2 2022-01-31 [1] CRAN (R 4.2.0)#> glue 1.6.2 2022-02-24 [1] CRAN (R 4.2.0)#> highr 0.9 2021-04-16 [1] CRAN (R 4.2.0)#> htmltools 0.5.2 2021-08-25 [1] CRAN (R 4.2.0)#> knitr 1.39 2022-04-26 [1] CRAN (R 4.2.0)#> lifecycle 1.0.1 2021-09-24 [1] CRAN (R 4.2.0)#> magrittr 2.0.3 2022-03-30 [1] CRAN (R 4.2.0)#> pillar 1.7.0 2022-02-01 [1] CRAN (R 4.2.0)#> pkgconfig 2.0.3 2019-09-22 [1] CRAN (R 4.2.0)#> purrr 0.3.4 2020-04-17 [1] CRAN (R 4.2.0)#> R6 2.5.1 2021-08-19 [1] CRAN (R 4.2.0)#> reprex 2.0.1 2021-08-05 [1] CRAN (R 4.2.0)#> rlang 1.0.2 2022-03-04 [1] CRAN (R 4.2.0)#> rmarkdown 2.14 2022-04-25 [1] CRAN (R 4.2.0)#> rstudioapi 0.13 2020-11-12 [1] CRAN (R 4.2.0)#> sessioninfo 1.2.2 2021-12-06 [1] CRAN (R 4.2.0)#> stringi 1.7.6 2021-11-29 [1] CRAN (R 4.2.0)#> stringr 1.4.0 2019-02-10 [1] CRAN (R 4.2.0)#> tibble 3.1.7 2022-05-03 [1] CRAN (R 4.2.0)#> tidyselect 1.1.2 2022-02-21 [1] CRAN (R 4.2.0)#> tzdb 0.3.0 2022-03-28 [1] CRAN (R 4.2.0)#> utf8 1.2.2 2021-07-24 [1] CRAN (R 4.2.0)#> vctrs 0.4.1 2022-04-13 [1] CRAN (R 4.2.0)#> withr 2.5.0 2022-03-03 [1] CRAN (R 4.2.0)#> xfun 0.31 2022-05-10 [1] CRAN (R 4.2.0)#> yaml 2.3.5 2022-02-21 [1] CRAN (R 4.2.0)##> [1] C:/Users/sbashevkin/AppData/Local/R/win-library/4.2#> [2] C:/Program Files/R/R-4.2.0/library##> ──────────────────────────────────────────────────────────────────────────────

Reporter: Sam Bashevkin

Related issues:

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

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