igozali opened a new issue, #38575:
URL: https://github.com/apache/arrow/issues/38575
### Describe the bug, including details regarding any error messages,
version, and platform.
Seems like a regression from arrow 13 -> 14
Here's a simple repro script
```py
import pyarrow as pa
import pyarrow.parquet as pq
print(pa.__version__)
metadata = {b"foo": b"bar"}
schema = pa.schema([pa.field("foo", pa.int32())])
wrapped_schema = pa.schema(schema, metadata=metadata)
w = pq.ParquetWriter(
"foo.parquet",
wrapped_schema,
flavor="spark",
compression="snappy"
)
w.close()
s = pq.read_schema("foo.parquet")
print(f"{s.metadata=} {metadata=}")
print(f"{s.metadata == metadata=}")
```
Running above script on pyarrow 13 and 14 gives these outputs:
```
(arrow13)
[11:43:42 | last: 43s] ( 0) | ~
igozali@host $ python test.py
13.0.0
s.metadata={b'foo': b'bar'} metadata={b'foo': b'bar'}
s.metadata == metadata=True
(arrow13)
[11:43:44 | last: 0s] ( 0) | ~
igozali@host $ conda activate arrow14
(arrow14)
[11:43:49 | last: 0s] ( 0) | ~
igozali@host $ python test.py
14.0.0
s.metadata=None metadata={b'foo': b'bar'}
s.metadata == metadata=False
```
Few workarounds:
1. Use `schema.with_metadata()` instead of `pa.schema()`
2. Instead of `pa.schema(old_schema, metadata=...)`, passing a list of
fields seems to fix it too e.g. `pa.schema(list(old_schema), metadata=...)`
### Component(s)
Parquet, Python
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