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Describe the bug, including details regarding any error messages, version, and platform.
As described, when writing a file with pyarrow.dataset.write_dataset, the order is not preserved. I have tested this with both parquet and csv file format.
importpyarrow.parquetaspqimportnumpyasnpimportpandasaspdimportpyarrow.datasetfrompathlibimportPathdata_load_path='./data.parquet'pyarrow_dataset_write_path='./pyarrow_saved_data.parquet'data=pd.DataFrame({'col': np.arange(1e7)})
data.to_parquet(data_load_path)
# Check if data loaded with pandas and pyarrow are the samepyarrow_dataset=pyarrow.dataset.dataset(data_load_path, format='parquet')
pyarrow_dataset_df=pyarrow_dataset.to_table().to_pandas()
print((pyarrow_dataset_df['col'] ==data['col']).all()) # True# Write with pyarrow.dataset.write_datasetpyarrow.dataset.write_dataset(
pyarrow_dataset,
pyarrow_dataset_write_path,
format='parquet',
)
loaded_pyarrow_dataset=pyarrow.dataset.dataset(pyarrow_dataset_write_path, format='parquet')
loaded_pyarrow_dataset_df=loaded_pyarrow_dataset.to_table().to_pandas()
print((loaded_pyarrow_dataset_df['col'] ==data['col']).all()) # Falseprint((loaded_pyarrow_dataset_df['col'] ==data['col']).mean()) # 0.29# Write with pq.write_to_datasetpq.write_to_dataset(
pyarrow_dataset,
'x.parquet',
existing_data_behavior='delete_matching'
)
(pyarrow.dataset.dataset('x.parquet').to_table().to_pandas()['col'] ==data['col']).all() # True
Component(s)
Python
The text was updated successfully, but these errors were encountered:
Describe the bug, including details regarding any error messages, version, and platform.
As described, when writing a file with
pyarrow.dataset.write_dataset
, the order is not preserved. I have tested this with bothparquet
andcsv
file format.Component(s)
Python
The text was updated successfully, but these errors were encountered: