scravy opened a new issue, #44350:
URL: https://github.com/apache/arrow/issues/44350
### Describe the bug, including details regarding any error messages,
version, and platform.
When defining a column as dictionary from int32 → binary16, saving that as
parquet, and reading it back – the schema is not the same as the one written,
see example:
```
from tempfile import NamedTemporaryFile
import pyarrow as pa
import pyarrow.parquet as pq
if __name__ == "__main__":
z = b"\0" * 16
B16 = pa.binary(16)
D32dict = pa.dictionary(pa.int32(), B16)
tbl = pa.Table.from_arrays([[z, z, z, z]], names=["clmn"])
tbl = tbl.set_column(0, "clmn", tbl["clmn"].cast(D32dict))
assert (
tbl.schema.field("clmn").type == D32dict
), f"{tbl.schema.field('clmn').type} ≠ {D32dict}"
with NamedTemporaryFile() as fn:
pq.write_table(tbl, fn)
t = pq.read_table(fn)
assert (
t.schema.field("clmn").type == D32dict
), f"schema of table read is broken: {t.schema.field('clmn').type} ≠
{D32dict}"
```
### Component(s)
Parquet
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