[ https://issues.apache.org/jira/browse/ARROW-1854?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16266352#comment-16266352 ]
ASF GitHub Bot commented on ARROW-1854: --------------------------------------- pcmoritz commented on issue #1360: ARROW-1854: [Python] Use pickle to serialize numpy arrays of objects. URL: https://github.com/apache/arrow/pull/1360#issuecomment-347075553 Yeah I came to the same conclusion, I'd like to implement duplication at some point on the serialization level but it certainly won't happen before the release. Meanwhile a custom serialization context or a flag are both good solutions. ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org > [Python] Improve performance of serializing object dtype ndarrays > ----------------------------------------------------------------- > > Key: ARROW-1854 > URL: https://issues.apache.org/jira/browse/ARROW-1854 > Project: Apache Arrow > Issue Type: Improvement > Components: Python > Reporter: Wes McKinney > Assignee: Wes McKinney > Labels: pull-request-available > Fix For: 0.8.0 > > > I haven't looked carefully at the hot path for this, but I would expect these > statements to have roughly the same performance (offloading the ndarray > serialization to pickle) > {code} > In [1]: import pickle > In [2]: import numpy as np > In [3]: import pyarrow as pa > a > In [4]: arr = np.array(['foo', 'bar', None] * 100000, dtype=object) > In [5]: timeit serialized = pa.serialize(arr).to_buffer() > 10 loops, best of 3: 27.1 ms per loop > In [6]: timeit pickled = pickle.dumps(arr) > 100 loops, best of 3: 6.03 ms per loop > {code} > [~robertnishihara] [~pcmoritz] I encountered this while working on > ARROW-1783, but it can likely be resolved independently -- This message was sent by Atlassian JIRA (v6.4.14#64029)