schaffman5 commented on issue #29664:
URL: https://github.com/apache/arrow/issues/29664#issuecomment-2812663350
Following up on this issue, it would be great if dictionaries created from
factors could be handled natively with dplyr functions without casting to a
character vector where level information and ordering gets lost.
A couple of other examples:
```
arrow::Table$create(iris) %>% dplyr::filter(grepl("vir", Species)) %>%
collect()
Error in `compute.arrow_dplyr_query()`:
! NotImplemented: Function 'match_substring_regex' has no kernel matching
input types (dictionary<values=string, indices=int8, ordered=0>)
```
and sorting with arrange so that factor levels are respected:
```
arrow::Table$create(ggplot2::diamonds) %>% dplyr::arrange(cut) %>% collect()
Error in `compute.arrow_dplyr_query()`:
! NotImplemented: dictionary<values=string, indices=int8, ordered=1>
```
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