eitsupi commented on issue #14872:
URL: https://github.com/apache/arrow/issues/14872#issuecomment-1342658842
A simpler example.
``` r
mtcars |>
arrow::arrow_table() |>
dplyr::group_by(mpg, cyl) |>
dplyr::summarise(value = "foo") |>
dplyr::group_by(mpg, value) |>
dplyr::collect()
#> # A tibble: 27 × 3
#> # Groups: mpg, value [25]
#> mpg cyl value
#> <dbl> <dbl> <dbl>
#> 1 21 6 21
#> 2 22.8 4 22.8
#> 3 21.4 6 21.4
#> 4 18.7 8 18.7
#> 5 18.1 6 18.1
#> 6 14.3 8 14.3
#> 7 19.2 6 19.2
#> 8 17.3 8 17.3
#> 9 14.7 8 14.7
#> 10 33.9 4 33.9
#> # … with 17 more rows
```
<sup>Created on 2022-12-08 with [reprex
v2.0.2](https://reprex.tidyverse.org)</sup>
By the way, I don't think this is a `summarise` problem, because the same
thing happens if we use `mutate` instead of `summarise`.
``` r
mtcars |>
arrow::arrow_table() |>
dplyr::group_by(mpg, cyl) |>
dplyr::mutate(value = "foo") |>
dplyr::group_by(mpg, value) |>
dplyr::collect()
#> # A tibble: 32 × 12
#> # Groups: mpg, value [25]
#> mpg cyl disp hp drat wt qsec vs am gear carb value
#> <dbl> <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 21
#> 2 21 6 160 110 3.9 2.88 17.0 0 1 4 4 21
#> 3 22.8 4 108 93 3.85 2.32 18.6 1 1 4 1 22.8
#> 4 21.4 6 258 110 3.08 3.22 19.4 1 0 3 1 21.4
#> 5 18.7 8 360 175 3.15 3.44 17.0 0 0 3 2 18.7
#> 6 18.1 6 225 105 2.76 3.46 20.2 1 0 3 1 18.1
#> 7 14.3 8 360 245 3.21 3.57 15.8 0 0 3 4 14.3
#> 8 24.4 4 147. 62 3.69 3.19 20 1 0 4 2 24.4
#> 9 22.8 4 141. 95 3.92 3.15 22.9 1 0 4 2 22.8
#> 10 19.2 6 168. 123 3.92 3.44 18.3 1 0 4 4 19.2
#> # … with 22 more rows
```
<sup>Created on 2022-12-08 with [reprex
v2.0.2](https://reprex.tidyverse.org)</sup>
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