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Posted to dev@arrow.apache.org by "Eric Kisslinger (Jira)" <ji...@apache.org> on 2020/05/04 16:46:00 UTC
[jira] [Created] (ARROW-8694) parquet.read_schema() fails when
loading wide table created from Pandas DataFrame
Eric Kisslinger created ARROW-8694:
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Summary: parquet.read_schema() fails when loading wide table created from Pandas DataFrame
Key: ARROW-8694
URL: https://issues.apache.org/jira/browse/ARROW-8694
Project: Apache Arrow
Issue Type: Bug
Components: C++, Python
Affects Versions: 0.17.0
Environment: Linux OS with RHEL 7.7 distribution
Reporter: Eric Kisslinger
Fix For: 0.17.1
parquet.read_schema() fails when loading wide table schema created from Pandas DataFrame with 50,000 columns. This works ok using pyarrow 0.16.0.
{code:java}
import numpy as np
import pandas as pd
import pyarrow as pa
import pyarrow.parquet as pq
print(pa.__version__)
df = pd.DataFrame(({'c' + str(i): np.random.randn(10) for i in range(50000)}))
table = pa.Table.from_pandas(df)
pq.write_table(table, "test_wide.parquet")
schema = pq.read_schema('test_wide.parquet'){code}
Output:
0.17.0
Traceback (most recent call last):
File "/GAAL/kisseri/conda_envs/blkmamba-dev/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 3319, in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
File "<ipython-input-29-d5ef2df77263>", line 9, in <module>
table = pq.read_schema('test_wide.parquet')
File "/GAAL/kisseri/conda_envs/blkmamba-dev/lib/python3.6/site-packages/pyarrow/parquet.py", line 1793, in read_schema
return ParquetFile(where, memory_map=memory_map).schema.to_arrow_schema()
File "/GAAL/kisseri/conda_envs/blkmamba-dev/lib/python3.6/site-packages/pyarrow/parquet.py", line 210, in __init__
read_dictionary=read_dictionary, metadata=metadata)
File "pyarrow/_parquet.pyx", line 1023, in pyarrow._parquet.ParquetReader.open
File "pyarrow/error.pxi", line 100, in pyarrow.lib.check_status
OSError: Couldn't deserialize thrift: TProtocolException: Exceeded size limit
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