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https://issues.apache.org/jira/browse/KAFKA-6150?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16269162#comment-16269162
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ASF GitHub Bot commented on KAFKA-6150:
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GitHub user guozhangwang opened a pull request:
https://github.com/apache/kafka/pull/4270
[WIP] KAFKA-6150: Purge repartition topics
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*Summary of testing strategy (including rationale)
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### Committer Checklist (excluded from commit message)
- [ ] Verify design and implementation
- [ ] Verify test coverage and CI build status
- [ ] Verify documentation (including upgrade notes)
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/guozhangwang/kafka
K6150-purge-repartition-topics
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/kafka/pull/4270.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #4270
----
----
> Make Repartition Topics Transient
> ---------------------------------
>
> Key: KAFKA-6150
> URL: https://issues.apache.org/jira/browse/KAFKA-6150
> Project: Kafka
> Issue Type: Improvement
> Components: streams
> Reporter: Guozhang Wang
> Assignee: Guozhang Wang
> Labels: operability
>
> Unlike changelog topics, the repartition topics could just be short-lived.
> Today users have different ways to configure them with short retention such
> as enforce a short retention period or use AppendTime for repartition topics.
> All these would be cumbersome and Streams should just do this for the users.
> One way to do it is use the “purgeData” admin API (KIP-107) such that after
> the offset of the input topics are committed, if the input topics are
> actually repartition topics, we would purge the data immediately.
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