[jira] [Updated] (ARROW-1783) [Python] Convert SerializedPyObject to/from sequence of component buffers with minimal memory allocation / copying

["ASF GitHub Bot (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/ARROW-1783?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

ASF GitHub Bot updated ARROW-1783:
----------------------------------
    Labels: pull-request-available  (was: )

> [Python] Convert SerializedPyObject to/from sequence of component buffers with minimal memory allocation / copying
> ------------------------------------------------------------------------------------------------------------------
>
>                 Key: ARROW-1783
>                 URL: https://issues.apache.org/jira/browse/ARROW-1783
>             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 on Dask org:
> https://github.com/dask/distributed/pull/931
> It would be valuable for downstream users to compute the serialized payload as a sequence of memoryview-compatible objects without having to allocate new memory on write. This means that the component tensor messages must have their metadata and bodies in separate buffers. This will require a bit of work internally reassemble the object from a collection of {{pyarrow.Buffer}} objects
> see also ARROW-1509



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