[jira] [Created] (ARROW-10937) ArrowInvalid error on reading partitioned parquet files from S3 (arrow-2.0.0)

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

Vladimir created ARROW-10937:
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             Summary: 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


Hello

It looks like pyarrow-2.0.0 has problems in reading parquet 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



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