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https://issues.apache.org/jira/browse/ARROW-1784?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16277931#comment-16277931
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ASF GitHub Bot commented on ARROW-1784:
---------------------------------------

wesm commented on issue #1390: ARROW-1784: [Python] Enable zero-copy 
serialization, deserialization of pandas.DataFrame via components
URL: https://github.com/apache/arrow/pull/1390#issuecomment-349179650
 
 
   Here's the same thing with a bunch of strings. 
   
   * serialize with Arrow table as intermediary: 1.64s in, 1.44s out
   * serialize using pickle: 623ms in, 489ms out
   * serialize using component method: 554ms in, 408ms out
   
   
![serialize_with_strings](https://user-images.githubusercontent.com/329591/33587846-01d61b5c-d93e-11e7-9b42-981f41d78b52.png)

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> [Python] Read and write pandas.DataFrame in pyarrow.serialize by decomposing 
> the BlockManager rather than coercing to Arrow format
> ----------------------------------------------------------------------------------------------------------------------------------
>
>                 Key: ARROW-1784
>                 URL: https://issues.apache.org/jira/browse/ARROW-1784
>             Project: Apache Arrow
>          Issue Type: New Feature
>          Components: Python
>            Reporter: Wes McKinney
>            Assignee: Wes McKinney
>              Labels: pull-request-available
>             Fix For: 0.8.0
>
>
> See discussion in https://github.com/dask/distributed/pull/931
> This will permit zero-copy reads for DataFrames not containing Python 
> objects. In the event of an {{ObjectBlock}} these arrays will not be worse 
> than pickle to reconstruct on the receiving side



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