[
https://issues.apache.org/jira/browse/ARROW-10937?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17250428#comment-17250428
]
Joris Van den Bossche commented on ARROW-10937:
-----------------------------------------------
Actually, [~apitrou], I suppose the problem is that the {{get_file_info}}
returns a string like "bucket/test_pyarrow.parquet/...", while the selector's
base_dir is "s3://bucket/test_pyarrow.parquet". So the {{RemoveAncestor}}
utility doesn't work, and we raise this error here:
https://github.com/apache/arrow/blob/06ac7509adb14f3109e1089221fd5cb9a28c8519/cpp/src/arrow/dataset/discovery.cc#L188-L191
What does the filesystem layer expect here us to do? Should the base_dir have
been stripped of the "s3://" before creating a Selector of it?
> ArrowInvalid error on reading partitioned parquet files from S3 (arrow-2.0.0)
> -----------------------------------------------------------------------------
>
> Key: ARROW-10937
> URL: https://issues.apache.org/jira/browse/ARROW-10937
> Project: Apache Arrow
> Issue Type: Bug
> Components: Python
> Affects Versions: 2.0.0
> Reporter: Vladimir
> Priority: Major
> Fix For: 3.0.0
>
>
> Hello
> It looks like pyarrow-2.0.0 could not read partitioned datasets from S3
> buckets:
> {code:java}
> import s3fs
> import pyarrow as pa
> import pyarrow.parquet as pq
> filesystem = s3fs.S3FileSystem()
> d = pd.date_range('1990-01-01', freq='D', periods=10000)
> vals = np.random.randn(len(d), 4)
> x = pd.DataFrame(vals, index=d, columns=['A', 'B', 'C', 'D'])
> x['Year'] = x.index.year
> table = pa.Table.from_pandas(x, preserve_index=True)
> pq.write_to_dataset(table, root_path='s3://bucket/test_pyarrow.parquet',
> partition_cols=['Year'], filesystem=filesystem)
> {code}
>
> Now, reading it via pq.read_table:
> {code:java}
> pq.read_table('s3://bucket/test_pyarrow.parquet', filesystem=filesystem,
> use_pandas_metadata=True)
> {code}
> Raises exception:
> {code:java}
> ArrowInvalid: GetFileInfo() yielded path
> 'bucket/test_pyarrow.parquet/Year=2017/ffcc136787cf46a18e8cc8f72958453f.parquet',
> which is outside base dir 's3://bucket/test_pyarrow.parquet'
> {code}
>
> Direct read in pandas:
> {code:java}
> pd.read_parquet('s3://bucket/test_pyarrow.parquet'){code}
> returns empty DataFrame.
>
> The issue does not exist in pyarrow-1.0.1
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
