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https://issues.apache.org/jira/browse/FLINK-22389?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Flink Jira Bot updated FLINK-22389:
-----------------------------------
Labels: auto-deprioritized-major auto-deprioritized-minor auto-unassigned
(was: auto-deprioritized-major auto-unassigned stale-minor)
Priority: Not a Priority (was: Minor)
This issue was labeled "stale-minor" 7 days ago and has not received any
updates so it is being deprioritized. If this ticket is actually Minor, please
raise the priority and ask a committer to assign you the issue or revive the
public discussion.
> Expose Message Batches to SDKs
> ------------------------------
>
> Key: FLINK-22389
> URL: https://issues.apache.org/jira/browse/FLINK-22389
> Project: Flink
> Issue Type: New Feature
> Components: Stateful Functions
> Reporter: Konstantin Knauf
> Priority: Not a Priority
> Labels: auto-deprioritized-major, auto-deprioritized-minor,
> auto-unassigned
>
> Stateful Functions always invokes a functions with a batch of messages. Under
> normal operations the batch size=1 (no batching).
> If a function is slow and backpressure arises, the batch size grows, though.
> From an SDK perspective, this batching is not visible. The function is always
> invoked with a single message. This makes it impossible to efficiently
> evaluate the whole batch at once (e.g. with pandas).
> This issue was requested in
> http://apache-flink-user-mailing-list-archive.2336050.n4.nabble.com/Flink-Statefun-Python-Batch-tp43022.html.
>
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