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https://issues.apache.org/jira/browse/KAFKA-15086?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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hudeqi updated KAFKA-15086:
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Attachment: WechatIMG364.jpeg
> The unreasonable segment size setting of the internal topics in MM2 may cause
> the worker startup time to be too long
> --------------------------------------------------------------------------------------------------------------------
>
> Key: KAFKA-15086
> URL: https://issues.apache.org/jira/browse/KAFKA-15086
> Project: Kafka
> Issue Type: Improvement
> Components: mirrormaker
> Affects Versions: 3.4.1
> Reporter: hudeqi
> Assignee: hudeqi
> Priority: Major
> Attachments: WechatIMG364.jpeg, WechatIMG365.jpeg
>
>
> As the config 'segment.bytes' for topics related MM2(such as
> offset.storage.topic, config.storage.topic,status.storage.topic), if
> following the default configuration of the broker or set it larger, then when
> the MM cluster runs many and complicated tasks, especially the log volume of
> the topic 'offset.storage.topic' is very large, it will affect the restart
> speed of the MM workers.
> After investigation, the reason is that a consumer needs to be started to
> read the data of ‘offset.storage.topic’ at startup. Although this topic is
> set to compact, if the 'segment size' is set to a large value, such as the
> default value of 1G, then this topic may have tens of gigabytes of data that
> cannot be compacted and has to be read from the earliest (because the active
> segment cannot be cleaned), which will consume a lot of time (in our online
> environment, we found that this topic stores 13G of data, it took nearly half
> an hour for all the data to be consumed), which caused the worker to be
> unable to start and execute tasks for a long time.
> Of course, the number of consumer threads can also be adjusted, but I think
> it may be easier to reduce the 'segment size', for example, refer to the
> default value of __consumer_offsets: 100MB
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