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Posted to issues@arrow.apache.org by "Wes McKinney (JIRA)" <ji...@apache.org> on 2017/11/22 22:00:01 UTC
[jira] [Assigned] (ARROW-1783) [Python] Convert SerializedPyObject
to/from sequence of component buffers with minimal memory allocation /
copying
[ https://issues.apache.org/jira/browse/ARROW-1783?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Wes McKinney reassigned ARROW-1783:
-----------------------------------
Assignee: Wes McKinney
> [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
> 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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