rustyconover commented on issue #44961:
URL: https://github.com/apache/arrow/issues/44961#issuecomment-2537852723
As requested here is a simple reproducer:
```python
import pyarrow as pa
import pyarrow.compute as pc
import pyarrow.dataset as ds
# Example data
data = [["peanuts", "shellfish", "gluten"], ["dust", "pollen"], ["cats",
"dogs", "feathers"], []]
# Create a PyArrow array
allergies_array = pa.array(data, type=pa.list_(pa.string()))
# Create a PyArrow table
table = pa.Table.from_arrays([allergies_array], names=["allergies"])
# Create a PyArrow dataset (in-memory)
dataset = ds.dataset(table)
# Filter for rows where the "allergies" column is empty
filter = pc.equal(pc.count(pc.field("allergies"), mode="all"), 0)
reader = dataset.scanner(filter=filter).to_table()
# This should be one row.
print(reader)
```
What the filter expression does is trying to retry rows where the allergies
column has zero entries.
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