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https://issues.apache.org/jira/browse/ARROW-16438?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17531116#comment-17531116
]
Joris Van den Bossche commented on ARROW-16438:
-----------------------------------------------
So reproducing this locally with a pyarrow local filesystem:
{code}
import pyarrow as pa
import pyarrow.parquet as pq
import pyarrow.dataset as ds
table = pa.table({'a': [1, 2, 3]})
pq.write_to_dataset(table, "test_parquet_dataset/")
In [9]: ds.dataset(["test_parquet_dataset/"], format="parquet",
filesystem=LocalFileSystem())
---------------------------------------------------------------------------
IsADirectoryError Traceback (most recent call last)
<ipython-input-9-8e554a28b381> in <module>
----> 1 ds.dataset(["test_parquet_dataset/"], format="parquet",
filesystem=LocalFileSystem())
~/scipy/repos/arrow/python/pyarrow/dataset.py in dataset(source, schema,
format, filesystem, partitioning, partition_base_dir, exclude_invalid_files,
ignore_prefixes)
695 elif isinstance(source, (tuple, list)):
696 if all(_is_path_like(elem) for elem in source):
--> 697 return _filesystem_dataset(source, **kwargs)
698 elif all(isinstance(elem, Dataset) for elem in source):
699 return _union_dataset(source, **kwargs)
~/scipy/repos/arrow/python/pyarrow/dataset.py in _filesystem_dataset(source,
schema, filesystem, partitioning, format, partition_base_dir,
exclude_invalid_files, selector_ignore_prefixes)
435
436 if isinstance(source, (list, tuple)):
--> 437 fs, paths_or_selector = _ensure_multiple_sources(source,
filesystem)
438 else:
439 fs, paths_or_selector = _ensure_single_source(source,
filesystem)
~/scipy/repos/arrow/python/pyarrow/dataset.py in
_ensure_multiple_sources(paths, filesystem)
356 raise FileNotFoundError(info.path)
357 elif file_type == FileType.Directory:
--> 358 raise IsADirectoryError(
359 'Path {} points to a directory, but only file paths
are '
360 'supported. To construct a nested or union dataset
pass '
IsADirectoryError: Path test_parquet_dataset/ 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}
So it also errors, although it gives a more clear error message about a
directory not being supported.
> pyarrow dataset API fails to read s3 directory
> ----------------------------------------------
>
> Key: ARROW-16438
> URL: https://issues.apache.org/jira/browse/ARROW-16438
> Project: Apache Arrow
> Issue Type: Bug
> Components: Python
> Affects Versions: 7.0.0
> Reporter: Prem Sagar Gali
> Priority: Major
>
> When an s3 file system as `file_system` is passed to
> [pyarrow.dataset.dataset|https://arrow.apache.org/docs/python/generated/pyarrow.dataset.dataset.html#pyarrow.dataset.dataset]
> API and the `source` is a directory name with bucket, there is an error:
> {code:python}
> In [5]: from fsspec.core import get_fs_token_paths
> In [6]: fs, _, path = get_fs_token_paths("s3://prem-rapids-test/folder/",
> mode="rb")
> In [7]: fs
> Out[7]: <s3fs.core.S3FileSystem at 0x7f3d02cc1460>
> In [8]: path
> Out[8]: ['prem-rapids-test/folder']
> In [10]: pa.dataset.dataset(path, filesystem=fs, format="parquet")
> ---------------------------------------------------------------------------
> FileNotFoundError Traceback (most recent call last)
> Input In [10], in <cell line: 1>()
> ----> 1 pa.dataset.dataset(path, filesystem=fs, format="parquet")
> File
> /nvme/0/pgali/envs/cudfdev/lib/python3.8/site-packages/pyarrow/dataset.py:670,
> in dataset(source, schema, format, filesystem, partitioning,
> partition_base_dir, exclude_invalid_files, ignore_prefixes)
> 668 elif isinstance(source, (tuple, list)):
> 669 if all(_is_path_like(elem) for elem in source):
> --> 670 return _filesystem_dataset(source, **kwargs)
> 671 elif all(isinstance(elem, Dataset) for elem in source):
> 672 return _union_dataset(source, **kwargs)
> File
> /nvme/0/pgali/envs/cudfdev/lib/python3.8/site-packages/pyarrow/dataset.py:422,
> in _filesystem_dataset(source, schema, filesystem, partitioning, format,
> partition_base_dir, exclude_invalid_files, selector_ignore_prefixes)
> 414 options = FileSystemFactoryOptions(
> 415 partitioning=partitioning,
> 416 partition_base_dir=partition_base_dir,
> 417 exclude_invalid_files=exclude_invalid_files,
> 418 selector_ignore_prefixes=selector_ignore_prefixes
> 419 )
> 420 factory = FileSystemDatasetFactory(fs, paths_or_selector, format,
> options)
> --> 422 return factory.finish(schema)
> File
> /nvme/0/pgali/envs/cudfdev/lib/python3.8/site-packages/pyarrow/_dataset.pyx:1680,
> in pyarrow._dataset.DatasetFactory.finish()
> File
> /nvme/0/pgali/envs/cudfdev/lib/python3.8/site-packages/pyarrow/error.pxi:143,
> in pyarrow.lib.pyarrow_internal_check_status()
> File
> /nvme/0/pgali/envs/cudfdev/lib/python3.8/site-packages/pyarrow/_fs.pyx:1179,
> in pyarrow._fs._cb_open_input_file()
> File
> /nvme/0/pgali/envs/cudfdev/lib/python3.8/site-packages/pyarrow/fs.py:394, in
> FSSpecHandler.open_input_file(self, path)
> 391 from pyarrow import PythonFile
> 393 if not self.fs.isfile(path):
> --> 394 raise FileNotFoundError(path)
> 396 return PythonFile(self.fs.open(path, mode="rb"), mode="r")
> FileNotFoundError: prem-rapids-test/folder
> {code}
> But it works only if the folder is passed as a full string:
> {code:python}
> In [3]: import pyarrow.dataset
> In [4]: pa.dataset.dataset("s3://prem-rapids-test/folder/", format="parquet")
> Out[4]: <pyarrow._dataset.FileSystemDataset at 0x7f3ce502d870>
> {code}
>
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