Mike Macpherson created ARROW-8654: -------------------------------------- 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! -- This message was sent by Atlassian Jira (v8.3.4#803005)