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https://issues.apache.org/jira/browse/BEAM-14540?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Brian Hulette updated BEAM-14540:
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Status: Open (was: Triage Needed)
> Native implementation for serialized Rows to/from Arrow
> -------------------------------------------------------
>
> Key: BEAM-14540
> URL: https://issues.apache.org/jira/browse/BEAM-14540
> Project: Beam
> Issue Type: Improvement
> Components: sdk-py-core
> Reporter: Brian Hulette
> Priority: P2
>
> With https://s.apache.org/batched-dofns (BEAM-14213), we want to encourage
> users to develop pipelines that process arrow data within the Python context.
> But we don't propose any cross-SDK changes, so when Arrow data is processed
> in the SDK, it must be converted to/from Rows for transmission over the Fn
> API. So the ideal Python execution looks like:
> 1. read row oriented data over the Fn API, deserialize with SchemaCoder
> 2. Buffer rows and construct an arrow RecordBatch/Table object
> 3. Perform user computation
> 4. Explode output RecordBatch/Table into rows
> 5. Serialize rows with SchemaCoder and write out over the Fn API
> We can improve performance for this type of flow by making a native
> (cythonized) implementation for (1,2) and (4,5).
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