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https://issues.apache.org/jira/browse/FLINK-10122?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16576396#comment-16576396
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ASF GitHub Bot commented on FLINK-10122:
----------------------------------------

StefanRRichter commented on a change in pull request #6537: [FLINK-10122] 
KafkaConsumer should use partitionable state over union state if partition 
discovery is not active
URL: https://github.com/apache/flink/pull/6537#discussion_r209291672
 
 

 ##########
 File path: 
flink-runtime/src/main/java/org/apache/flink/runtime/state/DefaultOperatorStateBackend.java
 ##########
 @@ -196,6 +196,20 @@ public void removeOperatorState(String name) {
                }
        }
 
+       public void deleteBroadCastState(String name) {
 
 Review comment:
   Argh...will remove the second one ;)

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> KafkaConsumer should use partitionable state over union state if partition 
> discovery is not active
> --------------------------------------------------------------------------------------------------
>
>                 Key: FLINK-10122
>                 URL: https://issues.apache.org/jira/browse/FLINK-10122
>             Project: Flink
>          Issue Type: Improvement
>          Components: Kafka Connector
>            Reporter: Stefan Richter
>            Assignee: Stefan Richter
>            Priority: Major
>              Labels: pull-request-available
>             Fix For: 1.7.0
>
>
> KafkaConsumer store its offsets state always as union state. I think this is 
> only required in the case that partition discovery is active. For jobs with a 
> very high parallelism, the union state can lead to prohibitively expensive 
> deployments. For example, a job with 2000 source and a total of 10MB 
> checkpointed union state offsets state would have to ship ~ 2000 x 10MB = 
> 20GB of state. With partitionable state, it would have to ship ~10MB.
> For now, I would suggest to go back to partitionable state in case that 
> partition discovery is not active. In the long run, I have some ideas for 
> more efficient partitioning schemes that would also work for active discovery.



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