[ 
https://issues.apache.org/jira/browse/FLINK-38381?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

ASF GitHub Bot updated FLINK-38381:
-----------------------------------
    Labels: pull-request-available  (was: )

> Autoscaler does not enumerate partitions across kafka clusters
> --------------------------------------------------------------
>
>                 Key: FLINK-38381
>                 URL: https://issues.apache.org/jira/browse/FLINK-38381
>             Project: Flink
>          Issue Type: Bug
>          Components: Autoscaler, Kubernetes Operator
>    Affects Versions: kubernetes-operator-1.12.0, kubernetes-operator-1.12.1
>            Reporter: Maximilian Michels
>            Assignee: Maximilian Michels
>            Priority: Major
>              Labels: pull-request-available
>             Fix For: kubernetes-operator-1.13.0
>
>
> When using the DynamicKafkaSink, topics can be spread across multiple 
> clusters. This used to work fine, but a regression has been added which 
> considers partitions across different clusters to be identical. This limits 
> the scale out of the source operator.
> Here is an example:
> {noformat}
> "1.Source__Kafka_Source_(testTopic).kafkaCluster.my-cluster-1.KafkaSourceReader.topic.testTopic.partition.0.currentOffset",
> "1.Source__Kafka_Source_(testTopic).kafkaCluster.my-cluster-2.KafkaSourceReader.topic.testTopic.partition.0.currentOffset"{noformat}
> Those would result be treated as one partition, but there are two partitions 
> from separate kafka clusters.



--
This message was sent by Atlassian Jira
(v8.20.10#820010)

Reply via email to