Richard Shin created ARROW-2041:
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Summary: [Python] pyarrow.serialize has high overhead for list of
NumPy arrays
Key: ARROW-2041
URL: https://issues.apache.org/jira/browse/ARROW-2041
Project: Apache Arrow
Issue Type: Bug
Reporter: Richard Shin
{{Python 2.7.12 (default, Nov 20 2017, 18:23:56)}}
{{[GCC 5.4.0 20160609] on linux2}}
{{Type "help", "copyright", "credits" or "license" for more information.}}
{{>>> import pyarrow as pa, numpy as np}}
{{>>> arrays = [np.arange(100, dtype=np.int32) for _ in range(10000)]}}
{{>>> with open('test.pyarrow', 'w') as f:}}
{{... f.write(pa.serialize(arrays).to_buffer().to_pybytes())}}
{{...}}
{{>>> import cPickle as pickle}}
{{>>> pickle.dump(arrays, open('test.pkl', 'w'), pickle.HIGHEST_PROTOCOL)}}
test.pyarrow is 6.2 MB, while test.pkl is only 4.2 MB.
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