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https://issues.apache.org/jira/browse/KAFKA-8611?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17081716#comment-17081716
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ASF GitHub Bot commented on KAFKA-8611:
---------------------------------------
lkokhreidze commented on pull request #8470: KAFKA-8611 / Refactor
KStreamRepartitionIntegrationTest
URL: https://github.com/apache/kafka/pull/8470
Follow-up PR on https://github.com/apache/kafka/pull/7170 that implements
@mjsax 's
[suggestions](https://github.com/apache/kafka/pull/7170#discussion_r406535443)
regarding integration test parameters.
### Committer Checklist (excluded from commit message)
- [ ] Verify design and implementation
- [ ] Verify test coverage and CI build status
- [ ] Verify documentation (including upgrade notes)
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> Add KStream#repartition operation
> ---------------------------------
>
> Key: KAFKA-8611
> URL: https://issues.apache.org/jira/browse/KAFKA-8611
> Project: Kafka
> Issue Type: New Feature
> Components: streams
> Reporter: Levani Kokhreidze
> Assignee: Levani Kokhreidze
> Priority: Minor
> Labels: kip
> Fix For: 2.6.0
>
>
> When using DSL in Kafka Streams, data re-partition happens only when
> key-changing operation is followed by stateful operation. On the other hand,
> in DSL, stateful computation can happen using _transform()_ operation as
> well. Problem with this approach is that, even if any upstream operation was
> key-changing before calling _transform()_, no auto-repartition is triggered.
> If repartitioning is required, a call to _through(String)_ should be
> performed before _transform()_. With the current implementation, burden of
> managing and creating the topic falls on user and introduces extra complexity
> of managing Kafka Streams application.
> KIP-221:
> [https://cwiki.apache.org/confluence/display/KAFKA/KIP-221%3A+Enhance+DSL+with+Connecting+Topic+Creation+and+Repartition+Hint]
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