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Posted to jira@arrow.apache.org by "Vladimir (Jira)" <ji...@apache.org> on 2020/12/16 09:25:00 UTC
[jira] [Updated] (ARROW-10937) ArrowInvalid error on reading
partitioned parquet files from S3 (arrow-2.0.0)
[ https://issues.apache.org/jira/browse/ARROW-10937?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Vladimir updated ARROW-10937:
-----------------------------
Description:
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
was:
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
> 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
>
> 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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