mrverhoeven commented on issue #29896:
URL: https://github.com/apache/arrow/issues/29896#issuecomment-2721999332
Still reproducible on 17.0.0.1.
A useful workaround for anyone who finds themselves here is to either mutate
that column type or specify it in the filter call:
```
open_dataset(tf, schema = tf_reg) %>%
+ mutate(stations = as.character(stations)) %>%
+ filter(stations == "41") %>%
+ collect()
# A tibble: 12 × 5
lat long depth mag stations
<dbl> <dbl> <int> <dbl> <chr>
1 -20.4 182. 562 4.8 41
2 -23.4 180 553 4.7 41
3 -25.7 180. 434 4.6 41
4 -32.2 180. 422 4.6 41
5 -18.1 182. 618 4.6 41
6 -25.0 180. 470 4.8 41
7 -34.4 180. 201 4.4 41
8 -34.1 182. 75 4.7 41
9 -23.5 180. 539 5 41
10 -16.0 186. 143 4.6 41
11 -19.0 169. 242 5 41
12 -13.8 167. 68 4.7 41
open_dataset(tf, schema = tf_reg) %>%
+ filter(as.character(stations) == "41") %>%
+ collect()
# A tibble: 12 × 5
lat long depth mag stations
<dbl> <dbl> <int> <dbl> <chr>
1 -20.4 182. 562 4.8 41
2 -23.4 180 553 4.7 41
3 -25.7 180. 434 4.6 41
4 -32.2 180. 422 4.6 41
5 -18.1 182. 618 4.6 41
6 -25.0 180. 470 4.8 41
7 -34.4 180. 201 4.4 41
8 -34.1 182. 75 4.7 41
9 -23.5 180. 539 5 41
10 -16.0 186. 143 4.6 41
11 -19.0 169. 242 5 41
12 -13.8 167. 68 4.7 41
>
> packageVersion("arrow")
[1] ‘17.0.0.1’
```
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