roosephu opened a new issue, #45686:
URL: https://github.com/apache/arrow/issues/45686
### Describe the bug, including details regarding any error messages,
version, and platform.
To reproduce:
```python
import pyarrow
import numpy as np
print(pyarrow.__version__)
N = 2**30 // 4
data = {
"id": [4, 3, 2, 1],
"data": [np.zeros(N, dtype=np.int64) + i for i in range(4)],
}
table = pyarrow.Table.from_pydict(data)
table2 = table.sort_by("id")
print(table2)
```
Actual output:
```
pyarrow.__version__ = '19.0.1'
pyarrow.Table
id: int64
data: list<item: int64>
child 0, item: int64
----
id: [[1,2,3,4]]
data:
[[[1,1,1,1,1,...,1,1,1,1,1],[0,0,0,0,0,...,0,0,0,0,0],[1,1,1,1,1,...,1,1,1,1,1],[0,0,0,0,0,...,0,0,0,0,0]]]
```
Changing dtype to `np.int8` gives the correct output:
```
pyarrow.__version__ = '19.0.1'
pyarrow.Table
id: int64
data: list<item: int8>
child 0, item: int8
----
id: [[1,2,3,4]]
data:
[[[3,3,3,3,3,...,3,3,3,3,3],[2,2,2,2,2,...,2,2,2,2,2],[1,1,1,1,1,...,1,1,1,1,1],[0,0,0,0,0,...,0,0,0,0,0]]]
```
My guess is that it overflows when calculating offsets during sorting,
although I have no idea how pyarrow works internally.
### Component(s)
Python
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