[
https://issues.apache.org/jira/browse/ARROW-1784?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17658815#comment-17658815
]
Rok Mihevc commented on ARROW-1784:
-----------------------------------
This issue has been migrated to [issue
#17782|https://github.com/apache/arrow/issues/17782] on GitHub. Please see the
[migration documentation|https://github.com/apache/arrow/issues/14542] for
further details.
> [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
> Priority: Major
> 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
--
This message was sent by Atlassian Jira
(v8.20.10#820010)