alippai commented on issue #37428:
URL: https://github.com/apache/arrow/issues/37428#issuecomment-1697493843
Not sure if this should raise, but also makes it impossible to filter on the
duplicate column names:
```python
import pyarrow as pa
import pyarrow.parquet as pq
t = pa.Table.from_arrays([[1,2],[3,4],[5,6]], names=['colA', 'colA',
'colB'])
pq.write_table(t,'/tmp/a.parquet', store_schema=False)
t2 = pq.read_table('/tmp/a.parquet', schema=pa.schema([pa.field('col1',
pa.int64()),pa.field('col2', pa.int64()),pa.field('col3', pa.int64())]),
filters=[('col3', '=', 5)])
print(t2) # no error, empty result
```
vs
```python
import pyarrow as pa
import pyarrow.parquet as pq
t = pa.Table.from_arrays([[1,2],[3,4],[5,6]], names=['colA', 'colA',
'colB'])
pq.write_table(t,'/tmp/a.parquet', store_schema=False)
t2 = pq.read_table('/tmp/a.parquet', schema=pa.schema([pa.field('col1',
pa.int64()),pa.field('col2', pa.int64()),pa.field('col3', pa.int64())]),
filters=[('colB', '=', 5)])
print(t2) # filter applied
```
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