[
https://issues.apache.org/jira/browse/ARROW-9065?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Joris Van den Bossche updated ARROW-9065:
-----------------------------------------
Description:
I have some data which is partitioned by year/month/date. It would be useful if
the date could be automatically parsed:
{code: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]
{code}
Not a big issue since you can just use string and convert, but nevertheless it
would be nice if it Just Worked
{code}
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))>
{code}
was:
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))>
```
> [Python] 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
> Priority: Minor
>
> I have some data which is partitioned by year/month/date. It would be useful
> if the date could be automatically parsed:
> {code: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]
> {code}
> Not a big issue since you can just use string and convert, but nevertheless
> it would be nice if it Just Worked
> {code}
> 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))>
> {code}
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