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https://issues.apache.org/jira/browse/KAFKA-7610?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16685591#comment-16685591
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Jason Gustafson commented on KAFKA-7610:
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[~bchen225242] Yeah, it's a good point that static membership wouldn't have the 
same problem. I was also thinking about that.

I'm also in favor of the second option or something like it. I was thinking 
something like this. When a dynamic member first joins the group, they provide 
an empty memberId. When the coordinator receives this request, it will 
immediately generate a new memberId and respond to the JoinGroup with the 
generated memberId an error code. It will also begin a session timer. In the 
common case, the consumer will receive the response and rejoin using the newly 
generated memberId. If the response is lost, however, the coordinator will 
expire the member after the session timeout. Do you think that would work?

> Detect consumer failures in initial JoinGroup
> ---------------------------------------------
>
>                 Key: KAFKA-7610
>                 URL: https://issues.apache.org/jira/browse/KAFKA-7610
>             Project: Kafka
>          Issue Type: Improvement
>            Reporter: Jason Gustafson
>            Priority: Major
>
> The session timeout and heartbeating logic in the consumer allow us to detect 
> failures after a consumer joins the group. However, we have no mechanism to 
> detect failures during a consumer's initial JoinGroup when its memberId is 
> empty. When a client fails (e.g. due to a disconnect), the newly created 
> MemberMetadata will be left in the group metadata cache. Typically when this 
> happens, the client simply retries the JoinGroup. Every retry results in a 
> new dangling member created and left in the group. These members are doomed 
> to a session timeout when the group finally finishes the rebalance, but 
> before that time, they are occupying memory. In extreme cases, when a 
> rebalance is delayed (possibly due to a buggy application), this cycle can 
> repeat and the cache can grow quite large.
> There are a couple options that come to mind to fix the problem:
> 1. During the initial JoinGroup, we can detect failed members when the TCP 
> connection fails. This is difficult at the moment because we do not have a 
> mechanism to propagate disconnects from the network layer. A potential option 
> is to treat the disconnect as just another type of request and pass it to the 
> handlers through the request queue.
> 2. Rather than holding the JoinGroup in purgatory for an indefinite amount of 
> time, we can return earlier with the generated memberId and an error code 
> (say REBALANCE_IN_PROGRESS) to indicate that retry is needed to complete the 
> rebalance. The consumer can then poll for the rebalance using its assigned 
> memberId. And we can detect failures through the session timeout. Obviously 
> this option requires a KIP (and some more thought).



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