cjrh commented on issue #30302:
URL: https://github.com/apache/arrow/issues/30302#issuecomment-2889249559
@lesterfan I have a directory of parquet files. For a specific categorical
column, some parquet files use int8 and some use int16. In pyarrow 19.0.1,
reading the directory as a dataset succeeds. But with pyarrow 20, it fails with
this error when loading data from the dataset directory:
Reading code:
```python
import pandas as pd
df = pd.read_parquet(
path,
engine="pyarrow",
)
```
Traceback:
```
...
File "/app/venv/lib/python3.12/site-packages/pyarrow/parquet/core.py",
line 1475, in read
table = self._dataset.to_table(
^^^^^^^^^^^^^^^^^^^^^^^
File "pyarrow/_dataset.pyx", line 589, in pyarrow._dataset.Dataset.to_table
File "pyarrow/_dataset.pyx", line 3941, in
pyarrow._dataset.Scanner.to_table
File "pyarrow/error.pxi", line 155, in
pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: Integer value 731 not in range: -128 to 127
```
This shows the dictionary info of the parquet files in the directory:
```
>>> import pyarrow.dataset as dataset
>>> ds = dataset(path)
>>> for path in ds.files:
... sch = pq.read_schema(path)
... print(path, sch.field('ExpStartDate').type)
...
dataframes.parq/00eac90ef2f504223a74498405e060a48.parquet
dictionary<values=string, indices=int8, ordered=0>
dataframes.parq/0641c30f725cd448bafc335d36cd01f6b.parquet
dictionary<values=string, indices=int16, ordered=0>
dataframes.parq/0cb2799478dd54c738efe76fdc1875326.parquet
dictionary<values=string, indices=int8, ordered=0>
dataframes.parq/0cff477be69be4ee093d98728d4f84452.parquet
dictionary<values=string, indices=int16, ordered=0>
dataframes.parq/0d103de6323904e93aecf24589c12a370.parquet
dictionary<values=string, indices=int8, ordered=0>
```
Is my issue related to this change? Is there a way to restore the previous
behaviour of upcasting to int32 on read?
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