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Posted to issues@arrow.apache.org by "Jonathan Keane (Jira)" <ji...@apache.org> on 2021/11/03 14:03:00 UTC

[jira] [Created] (ARROW-14575) [R] Allow functions with {{pkg::}} prefixes

Jonathan Keane created ARROW-14575:
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             Summary: [R] Allow functions with {{pkg::}} prefixes
                 Key: ARROW-14575
                 URL: https://issues.apache.org/jira/browse/ARROW-14575
             Project: Apache Arrow
          Issue Type: Bug
          Components: R
            Reporter: Jonathan Keane
            Assignee: Dewey Dunnington


Currently we implement a number of functions from packages like {lubridate} which work well when called without namespacing (e.g. {{year()}}), however if someone calls {{lubridate::year()}} we get a not-implemented method (e.g. {{Warning: Expression lubridate::year(time_hour) not supported in Arrow}}). Is it possible for us to look and see if we have an arrow function that matches the function itself.

{code:r}
library(arrow, warn.conflicts = FALSE)
library(dplyr, warn.conflicts = FALSE)

ds <- InMemoryDataset$create(nycflights13::flights)

ds %>% 
  mutate(year = lubridate::year(time_hour)) %>%
  collect()
#> Warning: Expression lubridate::year(time_hour) not supported in Arrow; pulling
#> data into R
#> # A tibble: 336,776 × 19
#>     year month   day dep_time sched_dep_time dep_delay arr_time sched_arr_time
#>    <dbl> <int> <int>    <int>          <int>     <dbl>    <int>          <int>
#>  1  2013     1     1      517            515         2      830            819
#>  2  2013     1     1      533            529         4      850            830
#>  3  2013     1     1      542            540         2      923            850
#>  4  2013     1     1      544            545        -1     1004           1022
#>  5  2013     1     1      554            600        -6      812            837
#>  6  2013     1     1      554            558        -4      740            728
#>  7  2013     1     1      555            600        -5      913            854
#>  8  2013     1     1      557            600        -3      709            723
#>  9  2013     1     1      557            600        -3      838            846
#> 10  2013     1     1      558            600        -2      753            745
#> # … with 336,766 more rows, and 11 more variables: arr_delay <dbl>,
#> #   carrier <chr>, flight <int>, tailnum <chr>, origin <chr>, dest <chr>,
#> #   air_time <dbl>, distance <dbl>, hour <dbl>, minute <dbl>, time_hour <dttm>

ds %>% 
  mutate(year = year(time_hour)) %>%
  collect()
#> # A tibble: 336,776 × 19
#>     year month   day dep_time sched_dep_time dep_delay arr_time sched_arr_time
#>    <int> <int> <int>    <int>          <int>     <dbl>    <int>          <int>
#>  1  2013     1     1      517            515         2      830            819
#>  2  2013     1     1      533            529         4      850            830
#>  3  2013     1     1      542            540         2      923            850
#>  4  2013     1     1      544            545        -1     1004           1022
#>  5  2013     1     1      554            600        -6      812            837
#>  6  2013     1     1      554            558        -4      740            728
#>  7  2013     1     1      555            600        -5      913            854
#>  8  2013     1     1      557            600        -3      709            723
#>  9  2013     1     1      557            600        -3      838            846
#> 10  2013     1     1      558            600        -2      753            745
#> # … with 336,766 more rows, and 11 more variables: arr_delay <dbl>,
#> #   carrier <chr>, flight <int>, tailnum <chr>, origin <chr>, dest <chr>,
#> #   air_time <dbl>, distance <dbl>, hour <dbl>, minute <dbl>, time_hour <dttm>
{code}



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