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https://issues.apache.org/jira/browse/KAFKA-7657?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Guozhang Wang updated KAFKA-7657:
---------------------------------
    Labels: bug  (was: )

> Invalid reporting of stream state in Kafka streams application
> --------------------------------------------------------------
>
>                 Key: KAFKA-7657
>                 URL: https://issues.apache.org/jira/browse/KAFKA-7657
>             Project: Kafka
>          Issue Type: Bug
>          Components: streams
>    Affects Versions: 2.0.1
>            Reporter: Thomas Crowley
>            Priority: Minor
>              Labels: bug
>
> We have a streams application with 3 instances running, two of which are 
> reporting the state of REBALANCING even after they have been running for 
> days. Restarting the application has no effect on the stream state.
> This seems suspect because each instance appears to be processing messages, 
> and the kafka-consumer-groups CLI tool reports hardly any offset lag in any 
> of the partitions assigned to the REBALANCING consumers. Each partition seems 
> to be processing an equal amount of records too.
> Inspecting the state.dir on disk, it looks like the RocksDB state has been 
> built and hovers at the expected size on disk.
> This problem has persisted for us after we rebuilt our Kafka cluster and 
> reset topics + consumer groups in our dev environment.
> There is nothing in the logs (with level set to DEBUG) in both the broker or 
> the application that suggests something exceptional has happened causing the 
> application to be stuck REBALANCING.
> We are also running multiple streaming applications where this problem does 
> not exist.
> Two differences between this application and our other streaming applications 
> are:
>  * We have processing.guarantee set to exactly_once
>  * We are using a ValueTransformer which fetches from and puts data on a 
> windowed state store
> The REBALANCING state is returned from both polling the state method of our 
> KafkaStreams instance, and our custom metric which is derived from some logic 
> in a KafkaStreams.StateListener class attached via the setStateListener 
> method.
>  
> While I have provided a bit of context, before I reply with some reproducible 
> code - is there a simple way in which I can determine that my streams 
> application is in a RUNNING state without relying on the same mechanisms as 
> used above?
> Further, given that it seems like my application is actually running - could 
> this perhaps be a bug to do with how the stream state is being reported (in 
> the context of a transactional stream using the processor API)?
>  
>  
>  
>  



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