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https://issues.apache.org/jira/browse/ARROW-14575?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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ASF GitHub Bot updated ARROW-14575:
-----------------------------------
Labels: pull-request-available (was: )
> [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: Dragoș Moldovan-Grünfeld
> Priority: Major
> Labels: pull-request-available
> Time Spent: 10m
> Remaining Estimate: 0h
>
> 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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