[R] dplyr n function cannot be called with dplyr::n() #20246
Description
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 foundCreated 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:
- [R] Allow functions with {{pkg::}} prefixes (duplicates)
Note: This issue was originally created as ARROW-16577. Please see the migration documentation for further details.