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https://issues.apache.org/jira/browse/FLINK-10122?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Flink Jira Bot updated FLINK-10122:
-----------------------------------
Labels: auto-unassigned pull-request-available stale-major (was:
auto-unassigned pull-request-available)
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 30 days. I have gone ahead and added a "stale-major" to the issue". If this
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> KafkaConsumer should use partitionable state over union state if partition
> discovery is not active
> --------------------------------------------------------------------------------------------------
>
> Key: FLINK-10122
> URL: https://issues.apache.org/jira/browse/FLINK-10122
> Project: Flink
> Issue Type: Improvement
> Components: Connectors / Kafka
> Reporter: Stefan Richter
> Priority: Major
> Labels: auto-unassigned, pull-request-available, stale-major
>
> KafkaConsumer store its offsets state always as union state. I think this is
> only required in the case that partition discovery is active. For jobs with a
> very high parallelism, the union state can lead to prohibitively expensive
> deployments. For example, a job with 2000 source and a total of 10MB
> checkpointed union state offsets state would have to ship ~ 2000 x 10MB =
> 20GB of state. With partitionable state, it would have to ship ~10MB.
> For now, I would suggest to go back to partitionable state in case that
> partition discovery is not active. In the long run, I have some ideas for
> more efficient partitioning schemes that would also work for active discovery.
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