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return pyarrow.Table instead of return the pandas-compatible NumPy ar… #319

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…ray via to_pandas()

the to_pandas() is pretty expensive, if the returned data size is huge, e.g 8GB, it might cause core crush.
return the pyarrow.Table gives end user more fliexibility

…ray via to_pandas()

the to_pandas() is pretty expensive, if the returned data size is huge, e.g 8GB, it might cause core crush.
return the pyarrow.Table gives end user more fliexibility
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