b-phi opened a new issue, #43558:
URL: https://github.com/apache/arrow/issues/43558
### Describe the bug, including details regarding any error messages,
version, and platform.
This appears to be a regression between `pyarrow-15.0.2` and
`pyarrow-16.0.0`. This issue is still present in `pyarrow-17.0.0`.
The following occasionally throws segfaults when reading parquet files from
S3.
```python
import pyarrow.dataset as ds
from pyarrow.fs import S3FileSystem
ts = ds.field('timestamp')
dataset = ds.dataset(
source=['a', 'b', 'c'],
format=ds.ParquetFileFormat(),
filesystem=S3FileSystem(),
partitioning='hive',
)
dataset.to_table(filter=(ts > start_ts) & (ts <= end_ts))
```
However this consistently works even when the above segfaults
```python
import pyarrow.dataset as ds
import pyarrow.compute as pc
from pyarrow.fs import S3FileSystem
ts = pc.field('timestamp')
dataset = ds.dataset(
source=['a', 'b', 'c'],
format=ds.ParquetFileFormat(),
filesystem=S3FileSystem(),
partitioning='hive',
)
table = dataset.to_table()
table.filter((ts > start_ts) & (ts <= end_ts))
```
Few other miscellaneous details
* The timestamp field is a `pa.timestamp('ns')`
* `start_ts` and `end_ts` are pandas timestamps
* The base environment is the docker image `python:3.10-slim-bookworm`
### Component(s)
Parquet, Python
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