You are viewing a plain text version of this content. The canonical link for it is here.

Posted to jira@kafka.apache.org by GitBox <gi...@apache.org> on 2020/11/20 14:05:26 UTC

[GitHub] [kafka] BDeus commented on pull request #9319: KAFKA-10413 Allow even distribution of lost/new tasks when more than one worker j…

BDeus commented on pull request #9319:
URL: https://github.com/apache/kafka/pull/9319#issuecomment-731189266


   Just a quick question.
   Can we confirmed that when a KafkaConnect Cluster process mutiple connectors, the task of each connector as equally balanced on the workers ?
   Here an example:
   With two connectors, one "HeavyLoad" (4 tasks) and another "LowLoad" (4 tasks) on 2 workers KafkaConnect.
   
   I expect to have:
   - Broker1:HeavyLoad1
   - Broker1:HeavyLoad2
   - Broker1:LowLoad1
   - Broker1:LowLoad2
   - Broker2:HeavyLoad3
   - Broker2:HeavyLoad4
   - Broker2:LowLoad3
   - Broker2:LowLoad4
   
   And not a random assignement that can lead to:
   - Broker1:HeavyLoad1
   - Broker1:HeavyLoad2
   - Broker1:HeavyLoad3
   - Broker1:HeavyLoad4
   - Broker2:LowLoad1
   - Broker2:LowLoad2
   - Broker2:LowLoad3
   - Broker2:LowLoad4
   
   


----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.

For queries about this service, please contact Infrastructure at:
users@infra.apache.org