lmocsi commented on issue #37070:
URL: https://github.com/apache/arrow/issues/37070#issuecomment-2495109571
The data is created like this:
```python
import polars as pl
df = pl.DataFrame({'USER_ID':
[1000,1001,1002,1003,1000,1001,1002,1005,1000,1001,1003,1005,1008],
'TRX_CNT': [434,11,3,555,111,32,1,2,434,21,44,111,222],
'DATE_OF_BIRTH':
['1998-12-02','2002-03-14','1975-09-01','2000-01-01','1998-12-02','2002-03-14','1975-09-01','2004-06-07','1998-12-02','2002-03-14','1999-01-01','2004-06-07','1988-02-28'],
'CALENDAR_DATE':
['2023-08-01','2023-08-01','2023-08-01','2023-08-01','2023-08-02','2023-08-02','2023-08-02','2023-08-02','2023-08-03','2023-08-03','2023-08-03','2023-08-03','2023-08-03']
}, schema={'USER_ID':pl.Int64,
'TRX_CNT': pl.Int64,
'DATE_OF_BIRTH': pl.Date,
'CALENDAR_DATE': pl.Date
})
df.write_parquet('my_table_name',partition_by=['CALENDAR_DATE'])
```
And polars reads it correctly:
```python
import polars as pl
df = pl.read_parquet('my_table_name',hive_partitioning=True)
print(df)
```
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