[
https://issues.apache.org/jira/browse/ARROW-1783?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17658814#comment-17658814
]
Rok Mihevc commented on ARROW-1783:
-----------------------------------
This issue has been migrated to [issue
#17781|https://github.com/apache/arrow/issues/17781] on GitHub. Please see the
[migration documentation|https://github.com/apache/arrow/issues/14542] for
further details.
> [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
> Priority: Major
> 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
--
This message was sent by Atlassian Jira
(v8.20.10#820010)
