Re: [I] Ds.dataset() incorrectly reads datetimes in partitioned parquet file [arrow]

["lmocsi (via GitHub)" <gi...@apache.org>]

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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