thisisnic commented on PR #41223:
URL: https://github.com/apache/arrow/pull/41223#issuecomment-2059537731
This is cool. A few additional tests it might be worth chucking in to show
how it works (or in the docs somewhere?) that are illustrative of a few things
I wanted to check:
``` r
library(dplyr)
library(arrow)
single_transform <- function(x){
str_remove_all(x, "[aeiou]")
}
multistep_transform <- function(x){
y = stringr::str_replace_all(x, "B", "c")
z = str_remove_all(y, "[aeiou]")
z2 = str_to_upper(z)
z2
}
multistep_transform_in_one <- function(x){
str_to_upper(str_remove_all(stringr::str_replace_all(x, "B", "c"),
"[aeiou]"))
}
tibble::tibble(x = c("Foo", "Bar", "Baz", "Qux")) %>%
arrow_table() %>%
mutate(y = single_transform(x)) %>%
collect()
#> # A tibble: 4 × 2
#> x y
#> <chr> <chr>
#> 1 Foo F
#> 2 Bar Br
#> 3 Baz Bz
#> 4 Qux Qx
tibble::tibble(x = c("Foo", "Bar", "Baz", "Qux")) %>%
arrow_table() %>%
mutate(y = multistep_transform(x)) %>%
collect()
#> # A tibble: 4 × 2
#> x y
#> <chr> <chr>
#> 1 Foo F
#> 2 Bar CR
#> 3 Baz CZ
#> 4 Qux QX
tibble::tibble(x = c("Foo", "Bar", "Baz", "Qux")) %>%
arrow_table() %>%
mutate(y = multistep_transform_in_one(x)) %>%
collect()
#> # A tibble: 4 × 2
#> x y
#> <chr> <chr>
#> 1 Foo F
#> 2 Bar CR
#> 3 Baz CZ
#> 4 Qux QX
```
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