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https://issues.apache.org/jira/browse/KAFKA-9031?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16952652#comment-16952652
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Jan Filipiak edited comment on KAFKA-9031 at 10/16/19 9:33 AM:
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Recommendation from my side to leave this feature out.
The natural kappa architecture is to re-bootstrap all state from kafka if
necessary from the beginning. Thats were most of the simplicity of this
architecture comes from. Implementing such a side kick will just increase
complexity by a whole lot because its yet another fight against the
architecture.
So i hope we can withstand the itchyness of a ticket being there and let the
project benefit from leaving this out.
Also: Isn't that why kafka supports microservices so well, people could just
run flink as a separate consumer
was (Author: jfilipiak):
Recommendation from my side to leave this feature out.
The natural kappa architecture is to re-bootstrap all state from kafka if
necessary from the beginning. Thats were most of the simplicity of this
architecture comes from. Implementing such a side kick will just increase
complexity by a whole lot because its yet another fight against the
architecture.
So i hope we can withstand the itchyness of a ticket being there but the
project will benefit from leaving this out.
Also: Isn't that why kafka supports microservices so well, people could just
run flink as a separate consumer
> Add possibility to reset Kafka streams application state to specific point in
> time
> ----------------------------------------------------------------------------------
>
> Key: KAFKA-9031
> URL: https://issues.apache.org/jira/browse/KAFKA-9031
> Project: Kafka
> Issue Type: New Feature
> Components: streams
> Reporter: Levani Kokhreidze
> Priority: Major
> Labels: needs-kip
>
> Apache Flink has a feature called
> [savepoints|https://ci.apache.org/projects/flink/flink-docs-stable/ops/state/savepoints.html]
> which gives possibility to reset stream processing topology state to
> specific point in time. Similar feature can be useful for Kafka Streams
> applications as well.
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