eitsupi commented on issue #38473:
URL: https://github.com/apache/arrow/issues/38473#issuecomment-1781324329
The query you want to do is probably something like this:
``` r
df <- data.frame(a = 1:3, b = c(1, NA, 3))
df |>
arrow::as_arrow_table() |>
dplyr::mutate(dplyr::across(everything(), ~ dplyr::coalesce(.x, 0))) |>
dplyr::collect()
#> # A tibble: 3 × 2
#> a b
#> <dbl> <dbl>
#> 1 1 1
#> 2 2 0
#> 3 3 3
```
<sup>Created on 2023-10-26 with [reprex
v2.0.2](https://reprex.tidyverse.org)</sup>
`tidyr::replace_na` can be accomplished using `dplyr::across` and
`dplyr::coaless`.
Please check the document
<https://tidyr.tidyverse.org/reference/replace_na.html#see-also>.
See also https://github.com/apache/arrow/issues/36458#issuecomment-1624594686
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