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https://issues.apache.org/jira/browse/KAFKA-9285?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16990303#comment-16990303
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Richard Yu commented on KAFKA-9285:
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cc [~bchen225242] You might be interested in this.
> Implement failed message topic to account for processing lag during failure
> ---------------------------------------------------------------------------
>
> Key: KAFKA-9285
> URL: https://issues.apache.org/jira/browse/KAFKA-9285
> Project: Kafka
> Issue Type: New Feature
> Components: consumer
> Reporter: Richard Yu
> Priority: Major
>
> Presently, in current Kafka failure schematics, when a consumer crashes, the
> user is typically responsible for both detecting as well as restarting the
> failed consumer. Therefore, during this period of time, when the consumer is
> dead, it would result in a period of inactivity where no records are
> consumed, hence lag results. Previously, there has been attempts to resolve
> this problem: when failure is detected by broker, a substitute consumer will
> be started (the so-called [Rebalance
> Consumer|[https://cwiki.apache.org/confluence/display/KAFKA/KIP-333%3A+Add+faster+mode+of+rebalancing]])
> which will continue processing records in Kafka's stead.
> However, this has complications, as records will only be stored locally, and
> in case of this consumer failing as well, that data will be lost. Instead, we
> need to consider how we can still process these records and at the same time
> effectively _persist_ them. It is here that I propose the concept of a
> _failed message topic._ At a high level, it works like this. When we find
> that a consumer has failed, messages which was originally meant to be sent to
> that consumer would be redirected to this failed messaged topic. The user can
> choose to assign consumers to this topic, which would consume messages from
> failed consumers while other consumer threads are down.
> Naturally, records from different topics can not go into the same failed
> message topic, since we cannot tell which records belong to which consumer.
>
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