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Posted to jira@arrow.apache.org by "Reynaldo Oscar Rojas Zelaya (Jira)" <ji...@apache.org> on 2022/01/06 15:41:00 UTC
[jira] [Created] (ARROW-15270) [Python] Make dataset.dataset() accept a list of directories as source
Reynaldo Oscar Rojas Zelaya created ARROW-15270:
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Summary: [Python] Make dataset.dataset() accept a list of directories as source
Key: ARROW-15270
URL: https://issues.apache.org/jira/browse/ARROW-15270
Project: Apache Arrow
Issue Type: Improvement
Components: Python
Reporter: Reynaldo Oscar Rojas Zelaya
Currently, if I partition a dataset as shown below, a directory {{partitioned}} is created along with {{2001, 2002, 2003, 2004}} as subdirectories. But then, if I wanted to only read the partitions corresponding to years {{{}2001, 2002{}}}, I wouldn't have a straightforward way of doing so.
{code:python}
>>> table = pa.table({'month': [1, 2, 3, 4, 5], 'year': [2001, 2002, 2003, 2004, 2004]})
>>> table
pyarrow.Table
month: int64
year: int64
----
month: [[1,2,3,4,5]]
year: [[2001,2002,2003,2004,2004]]
>>> ds.write_dataset(data=table, base_dir="partitioned", format="ipc", partitioning=ds.partitioning(pa.schema([("year", pa.int64())])))
>>> f = fs.SubTreeFileSystem(base_path='partitioned', base_fs=fs.LocalFileSystem())
>>> ds.dataset(source=['2001','2002'], filesystem=f, format="ipc")
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/Users/userr2232/Documents/misc/first-julia-nn/lib/python3.9/site-packages/pyarrow/dataset.py", line 683, in dataset
return _filesystem_dataset(source, **kwargs)
File "/Users/userr2232/Documents/misc/first-julia-nn/lib/python3.9/site-packages/pyarrow/dataset.py", line 423, in _filesystem_dataset
fs, paths_or_selector = _ensure_multiple_sources(source, filesystem)
File "/Users/userr2232/Documents/misc/first-julia-nn/lib/python3.9/site-packages/pyarrow/dataset.py", line 344, in _ensure_multiple_sources
raise IsADirectoryError(
IsADirectoryError: Path 2001 points to a directory, but only file paths are supported. To construct a nested or union dataset pass a list of dataset objects instead.{code}
Since {{dataset.write_dataset()}} produces this file structure, maybe {{dataset.dataset()}} should accept a list of directories as {{source}}?
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