jingyi-zhao-01 commented on issue #29017:
URL: https://github.com/apache/arrow/issues/29017#issuecomment-4959929784
I reproduced this on current Arrow main / local PyArrow dev build:
- pyarrow `26.0.0.dev3+gb03b4c539`
- pandas `3.0.3`
Observed round-trip behavior:
```text
bool_category
written arrow type: dictionary<values=bool, indices=int8, ordered=0>
read arrow type: bool
read pandas dtype: bool
pandas category kept: False
int_category
written arrow type: dictionary<values=int64, indices=int8, ordered=0>
read arrow type: int64
read pandas dtype: int64
pandas category kept: False
string_category
written arrow type: dictionary<values=large_string, indices=int8,
ordered=0>
read arrow type: dictionary<values=string, indices=int8, ordered=0>
read pandas dtype: category
pandas category kept: True
```
This still appears consistent with the earlier analysis in this thread:
`IsDictionaryReadSupported` currently only allows binary/string dictionary
reads in `cpp/src/parquet/arrow/schema.cc`.
Related note: the broader tracker for non-`BYTE_ARRAY` direct dictionary
decoding, https://github.com/apache/arrow/issues/22534 / ARROW-6140, is now
closed as stale rather than fixed.
Minimal ask: should this issue stay open as the Python-facing symptom, or
should the non-`BYTE_ARRAY` dictionary decoding tracker be reopened / replaced
with a fresh C++ Parquet issue? Happy to help keep a small reproducer or
regression test attached once maintainers confirm the preferred direction.
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