[ https://issues.apache.org/jira/browse/ARROW-1783?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Wes McKinney resolved ARROW-1783. --------------------------------- Resolution: Fixed Issue resolved by pull request 1362 [https://github.com/apache/arrow/pull/1362] > [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 -- This message was sent by Atlassian JIRA (v6.4.14#64029)