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Posted to issues@flink.apache.org by "Flink Jira Bot (Jira)" <ji...@apache.org> on 2021/10/22 22:39:00 UTC
[jira] [Updated] (FLINK-22389) Expose Message Batches to SDKs
[ https://issues.apache.org/jira/browse/FLINK-22389?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Flink Jira Bot updated FLINK-22389:
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Labels: auto-unassigned stale-major (was: auto-unassigned)
I am the [Flink Jira Bot|https://github.com/apache/flink-jira-bot/] and I help the community manage its development. I see this issues has been marked as Major but is unassigned and neither itself nor its Sub-Tasks have been updated for 60 days. I have gone ahead and added a "stale-major" to the issue". If this ticket is a Major, please either assign yourself or give an update. Afterwards, please remove the label or in 7 days the issue will be deprioritized.
> 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: Major
> Labels: auto-unassigned, stale-major
>
> 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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