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Posted to dev@arrow.apache.org by "Mike Macpherson (Jira)" <ji...@apache.org> on 2020/04/30 15:56:00 UTC
[jira] [Created] (ARROW-8654) [Python] pyarrow 0.17.0 fails reading
"wide" parquet files
Mike Macpherson created ARROW-8654:
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Summary: [Python] pyarrow 0.17.0 fails reading "wide" parquet files
Key: ARROW-8654
URL: https://issues.apache.org/jira/browse/ARROW-8654
Project: Apache Arrow
Issue Type: Bug
Reporter: Mike Macpherson
{code:java}
import pandas as pd
num_rows, num_cols = 1000, 45000
df = pd.DataFrame(np.random.randint(0, 256, size=(num_rows, num_cols)).astype(np.uint8))
outfile = "test.parquet"
df.to_parquet(outfile)
del df
df = pd.read_parquet(fout)
{code}
Yields:
{noformat}
df = pd.read_parquet(outfile)
File "/jupyter/venv/lib/python3.6/site-packages/pandas/io/parquet.py", line 310, in read_parquet
return impl.read(path, columns=columns, kwargs)
File "/jupyter/venv/lib/python3.6/site-packages/pandas/io/parquet.py", line 125, in read
path, columns=columns, kwargs
File "/jupyter/venv/lib/python3.6/site-packages/pyarrow/parquet.py", line 1530, in read_table
partitioning=partitioning)
File "/jupyter/venv/lib/python3.6/site-packages/pyarrow/parquet.py", line 1189, in __init__
self.validate_schemas()
File "/jupyter/venv/lib/python3.6/site-packages/pyarrow/parquet.py", line 1217, in validate_schemas
self.schema = self.pieces[0].get_metadata().schema
File "/jupyter/venv/lib/python3.6/site-packages/pyarrow/parquet.py", line 662, in get_metadata
f = self.open()
File "/jupyter/venv/lib/python3.6/site-packages/pyarrow/parquet.py", line 669, in open
reader = self.open_file_func(self.path)
File "/jupyter/venv/lib/python3.6/site-packages/pyarrow/parquet.py", line 1040, in _open_dataset_file
buffer_size=dataset.buffer_size
File "/jupyter/venv/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
{noformat}
This is pandas 1.0.3, and pyarrow 0.17.0.
I tried this with pyarrow 0.16.0, and it works. 0.15.1 did as well.
I also tried with 40,000 columns aot 45,000 as above, and that does work with 0.17.0.
Thanks for all your work on this project!
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