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Posted to commits@seatunnel.apache.org by "MonsterChenzhuo (via GitHub)" <gi...@apache.org> on 2023/04/08 14:40:07 UTC

[GitHub] [incubator-seatunnel] MonsterChenzhuo opened a new pull request, #4523: [WIP][Feature][Zeta] Support on k8s mode deployment

MonsterChenzhuo opened a new pull request, #4523:
URL: https://github.com/apache/incubator-seatunnel/pull/4523

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   ## Purpose of this pull request
   close #4386
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   ## Check list
   
   * [ ] Code changed are covered with tests, or it does not need tests for reason:
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[GitHub] [incubator-seatunnel] hailin0 commented on pull request #4523: [WIP][Feature][Zeta] Support on k8s mode deployment

Posted by "hailin0 (via GitHub)" <gi...@apache.org>.
hailin0 commented on PR #4523:
URL: https://github.com/apache/incubator-seatunnel/pull/4523#issuecomment-1502051351

   > SeaTunnel engine uses hazelcast as discovery framework and hazelcast has Kubernetes discovery plugin, why do we want to replicate the function here?
   
   +1


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[GitHub] [incubator-seatunnel] MonsterChenzhuo commented on pull request #4523: [WIP][Feature][Zeta] Support on k8s mode deployment

Posted by "MonsterChenzhuo (via GitHub)" <gi...@apache.org>.
MonsterChenzhuo commented on PR #4523:
URL: https://github.com/apache/incubator-seatunnel/pull/4523#issuecomment-1553019882

   @hailin0 @kezhenxu94 
   Hazelcast indeed supports K8s deployment, but the K8s deployment I need to implement is not simply about deploying several persistent Hazelcast clusters and submitting through the client.
   
   What I need is a deployment method similar to Flink's K8s Application Mode to support the deployment of over 4000 batch tasks per day.
   
   In Application Mode, user code is bundled with the SeaTunnel engine image, as it runs the main() method of the user code on the cluster. Application Mode ensures that all SeaTunnel engine components are properly cleaned up after the application terminates.
   
   By using the Application Mode:
   
   For production use, this mode provides better isolation for applications.
   It is able to dynamically allocate and deallocate TaskManagers according to the required resources, as it can communicate directly with Kubernetes.
   It greatly simplifies the deployment, configuration, and lifecycle management of SeaTunnel engine resources on Kubernetes.


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[GitHub] [seatunnel] MonsterChenzhuo closed pull request #4523: [WIP][Feature][Zeta] Support on k8s Application Mode deployment

Posted by "MonsterChenzhuo (via GitHub)" <gi...@apache.org>.
MonsterChenzhuo closed pull request #4523: [WIP][Feature][Zeta] Support on k8s Application Mode deployment
URL: https://github.com/apache/seatunnel/pull/4523


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