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Posted to issues@arrow.apache.org by "Joris Van den Bossche (Jira)" <ji...@apache.org> on 2019/09/09 12:40:00 UTC
[jira] [Created] (ARROW-6492) [Python] file written with latest
fastparquet cannot be read with latest pyarrow
Joris Van den Bossche created ARROW-6492:
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Summary: [Python] file written with latest fastparquet cannot be read with latest pyarrow
Key: ARROW-6492
URL: https://issues.apache.org/jira/browse/ARROW-6492
Project: Apache Arrow
Issue Type: Bug
Components: Python
Reporter: Joris Van den Bossche
From report on the pandas issue tracker: https://github.com/pandas-dev/pandas/issues/28252
With the latest released versions of fastparquet (0.3.2) and pyarrow (0.14.1), writing a file with pandas using the fastparquet engine cannot be read with the pyarrow engine:
{code}
df = pd.DataFrame({'A': [1, 2, 3]})
df.to_parquet("test.parquet", engine="fastparquet", compression=None)
pd.read_parquet("test.parquet", engine="pyarrow")
{code}
gives the following error when reading:
{code}
----> 1 pd.read_parquet("test.parquet", engine="pyarrow")
~/miniconda3/lib/python3.7/site-packages/pandas/io/parquet.py in read_parquet(path, engine, columns, **kwargs)
292
293 impl = get_engine(engine)
--> 294 return impl.read(path, columns=columns, **kwargs)
~/miniconda3/lib/python3.7/site-packages/pandas/io/parquet.py in read(self, path, columns, **kwargs)
123 kwargs["use_pandas_metadata"] = True
124 result = self.api.parquet.read_table(
--> 125 path, columns=columns, **kwargs
126 ).to_pandas()
127 if should_close:
~/miniconda3/lib/python3.7/site-packages/pyarrow/array.pxi in pyarrow.lib._PandasConvertible.to_pandas()
~/miniconda3/lib/python3.7/site-packages/pyarrow/table.pxi in pyarrow.lib.Table._to_pandas()
~/miniconda3/lib/python3.7/site-packages/pyarrow/pandas_compat.py in table_to_blockmanager(options, table, categories, ignore_metadata)
642 column_indexes = pandas_metadata.get('column_indexes', [])
643 index_descriptors = pandas_metadata['index_columns']
--> 644 table = _add_any_metadata(table, pandas_metadata)
645 table, index = _reconstruct_index(table, index_descriptors,
646 all_columns)
~/miniconda3/lib/python3.7/site-packages/pyarrow/pandas_compat.py in _add_any_metadata(table, pandas_metadata)
965 raw_name = 'None'
966
--> 967 idx = schema.get_field_index(raw_name)
968 if idx != -1:
969 if col_meta['pandas_type'] == 'datetimetz':
~/miniconda3/lib/python3.7/site-packages/pyarrow/types.pxi in pyarrow.lib.Schema.get_field_index()
~/miniconda3/lib/python3.7/site-packages/pyarrow/lib.cpython-37m-x86_64-linux-gnu.so in string.from_py.__pyx_convert_string_from_py_std__in_string()
TypeError: expected bytes, dict found
{code}
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