[jira] [Created] (ARROW-9065) Support parsing date32 in dataset partition folders

["Dave Hirschfeld (Jira)" <ji...@apache.org>]

Dave Hirschfeld created ARROW-9065:
--------------------------------------

             Summary: Support parsing date32 in dataset partition folders
                 Key: ARROW-9065
                 URL: https://issues.apache.org/jira/browse/ARROW-9065
             Project: Apache Arrow
          Issue Type: Improvement
          Components: C++, Python
            Reporter: Dave Hirschfeld


I have some data which is partitioned by year/month/date. It would be useful if the date could be automatically parsed:
```python

In [17]: schema = pa.schema([("year", pa.int16()), ("month", pa.int8()), ("day", pa.date32())])

In [18]: partition = DirectoryPartitioning(schema)

In [19]: partition.parse("/2020/06/2020-06-08")
---------------------------------------------------------------------------
ArrowNotImplementedError Traceback (most recent call last)
<ipython-input-19-c227c808b401> in <module>
----> 1 partition.parse("/2020/06/2020-06-08")

~\envs\dev\lib\site-packages\pyarrow\_dataset.pyx in pyarrow._dataset.Partitioning.parse()

~\envs\dev\lib\site-packages\pyarrow\error.pxi in pyarrow.lib.pyarrow_internal_check_status()

~\envs\dev\lib\site-packages\pyarrow\error.pxi in pyarrow.lib.check_status()

ArrowNotImplementedError: parsing scalars of type date32[day]

```


Not a big issue since you can just use string and convert, but nevertheless it would be nice if it Just Worked
```python

In [22]: schema = pa.schema([("year", pa.int16()), ("month", pa.int8()), ("day", pa.string())])

In [23]: partition = DirectoryPartitioning(schema)

In [24]: partition.parse("/2020/06/2020-06-08")
Out[24]: <pyarrow.dataset.AndExpression (((year == 2020:int16) and (month == 6:int8)) and (day == 2020-06-08:string))>
```



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