[
https://issues.apache.org/jira/browse/ARROW-2040?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Antoine Pitrou updated ARROW-2040:
----------------------------------
Description:
pyarrow.deserialize works fine, however.
{code:python}
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
>>> with open('test.pyarrow', 'w') as f:
... f.write(pa.serialize(np.arange(10,
dtype=np.int32)).to_buffer().to_pybytes())
...
>>> pa.read_serialized(pa.OSFile('test.pyarrow')).deserialize()
array([54846320, 0, 45484448, 0, 4, 5, 6, 7, 8, 9], dtype=int32)
>>> pa.deserialize(pa.frombuffer(open('test.pyarrow').read()))
array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9], dtype=int32)
{code}
was:
pyarrow.deserialize works fine, however.
{{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}}
{{>>> with open('test.pyarrow', 'w') as f:}}
{{... f.write(pa.serialize(np.arange(10,
dtype=np.int32)).to_buffer().to_pybytes())}}
{{...}}
{{>>> pa.read_serialized(pa.OSFile('test.pyarrow')).deserialize()}}
{{array([54846320, 0, 45484448, 0, 4, 5,}}
{{ 6, 7, 8, 9], dtype=int32)}}
{{>>> pa.deserialize(pa.frombuffer(open('test.pyarrow').read()))}}
{{array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9], dtype=int32)}}
> [Python] pyarrow.read_serialized returns bogus data
> ---------------------------------------------------
>
> Key: ARROW-2040
> URL: https://issues.apache.org/jira/browse/ARROW-2040
> Project: Apache Arrow
> Issue Type: Bug
> Affects Versions: 0.8.0
> Reporter: Richard Shin
> Assignee: Wes McKinney
> Priority: Major
> Fix For: 0.9.0
>
>
> pyarrow.deserialize works fine, however.
> {code:python}
> 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
> >>> with open('test.pyarrow', 'w') as f:
> ... f.write(pa.serialize(np.arange(10,
> dtype=np.int32)).to_buffer().to_pybytes())
> ...
> >>> pa.read_serialized(pa.OSFile('test.pyarrow')).deserialize()
> array([54846320, 0, 45484448, 0, 4, 5, 6, 7, 8, 9], dtype=int32)
> >>> pa.deserialize(pa.frombuffer(open('test.pyarrow').read()))
> array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9], dtype=int32)
> {code}
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