amoeba commented on issue #45601:
URL: https://github.com/apache/arrow/issues/45601#issuecomment-2675802752
Thanks for the report, this needs to be fixed. For the crash, we're crashing
when just trying to print:
```
--->8---
frame #6: 0x000000011b7ea404
arrow.so`arrow::internal::InvalidValueOrDie(arrow::Status const&) + 244
frame #7: 0x000000011b7ef470 arrow.so`arrow::Scalar::ToString() const +
1008
frame #8: 0x000000011ba76668
arrow.so`arrow::compute::Expression::ToString()
const::$_4::operator()(std::__1::basic_string<char,
std::__1::char_traits<char>, std::__1::allocator<char>>) const + 260
frame #9: 0x000000011ba75a38
arrow.so`arrow::compute::Expression::ToString() const + 1008
frame #10: 0x000000011b267b6c arrow.so`_arrow_compute___expr__ToString +
108
--->8---
```
and with extra error context turned on I see:
> ValueOrDie called on an error: NotImplemented: construction from scalar of
type <labelled<integer>[0]>: example variable a
We could probably also make arrow work seamlessly with labeled dataframes,
is that what you were expecting when you ran into this? We could drop the
labels when converting to an Arrow table which would be functionally equivalent
to this:
```r
> d %>%
+ zap_labels() %>%
+ as_arrow_table() %>%
+ filter(a > 3) %>%
+ collect()
# A tibble: 2 × 2
a b
* <int> <int>
1 4 14
2 5 15
```
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