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Posted to jira@arrow.apache.org by "Neal Richardson (Jira)" <ji...@apache.org> on 2022/10/14 13:11:00 UTC
[jira] [Resolved] (ARROW-17737) [R] Groups before conversion to a Table must not be restored after `collect()`
[ https://issues.apache.org/jira/browse/ARROW-17737?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Neal Richardson resolved ARROW-17737.
-------------------------------------
Fix Version/s: 10.0.0
Resolution: Fixed
Issue resolved by pull request 14175
[https://github.com/apache/arrow/pull/14175]
> [R] Groups before conversion to a Table must not be restored after `collect()`
> ------------------------------------------------------------------------------
>
> Key: ARROW-17737
> URL: https://issues.apache.org/jira/browse/ARROW-17737
> Project: Apache Arrow
> Issue Type: Bug
> Components: R
> Affects Versions: 9.0.0
> Reporter: SHIMA Tatsuya
> Assignee: SHIMA Tatsuya
> Priority: Major
> Labels: pull-request-available
> Fix For: 10.0.0
>
> Time Spent: 1.5h
> Remaining Estimate: 0h
>
> Perhaps {{metadata$r$attributes$.group_vars}} needs to be removed when it becomes an arrow dplyr query.
> And it must also be written back again when converted to a Table.
> {code:r}
> mtcars |> dplyr::group_by(cyl) |> arrow::arrow_table() |> dplyr::ungroup() |> as.data.frame() |> dplyr::group_vars()
> #> character(0)
> mtcars |> dplyr::group_by(cyl) |> arrow:::as_adq() |> dplyr::ungroup() |> as.data.frame() |> dplyr::group_vars()
> #> [1] "cyl"
> {code}
> {code:r}
> mtcars |> dplyr::group_by(cyl) |> arrow::arrow_table() |> dplyr::group_by(vs, .add = TRUE) |> dplyr::ungroup() |> dplyr::collect()
> #> # A tibble: 32 × 11
> #> # Groups: cyl [3]
> #> mpg cyl disp hp drat wt qsec vs am gear carb
> #> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
> #> 1 21 6 160 110 3.9 2.62 16.5 0 1 4 4
> #> 2 21 6 160 110 3.9 2.88 17.0 0 1 4 4
> #> 3 22.8 4 108 93 3.85 2.32 18.6 1 1 4 1
> #> 4 21.4 6 258 110 3.08 3.22 19.4 1 0 3 1
> #> 5 18.7 8 360 175 3.15 3.44 17.0 0 0 3 2
> #> 6 18.1 6 225 105 2.76 3.46 20.2 1 0 3 1
> #> 7 14.3 8 360 245 3.21 3.57 15.8 0 0 3 4
> #> 8 24.4 4 147. 62 3.69 3.19 20 1 0 4 2
> #> 9 22.8 4 141. 95 3.92 3.15 22.9 1 0 4 2
> #> 10 19.2 6 168. 123 3.92 3.44 18.3 1 0 4 4
> #> # … with 22 more rows
> {code}
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