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https://issues.apache.org/jira/browse/GOBBLIN-458?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hung Tran resolved GOBBLIN-458.
-------------------------------
       Resolution: Fixed
    Fix Version/s: 0.13.0

Issue resolved by pull request #2329
[https://github.com/apache/incubator-gobblin/pull/2329]

>  Refactor flowConfig resource handler to avoid single restli request handled 
> partially on one machine and then forward to another machine. 
> -------------------------------------------------------------------------------------------------------------------------------------------
>
>                 Key: GOBBLIN-458
>                 URL: https://issues.apache.org/jira/browse/GOBBLIN-458
>             Project: Apache Gobblin
>          Issue Type: Improvement
>            Reporter: Kuai Yu
>            Assignee: Kuai Yu
>            Priority: Major
>             Fix For: 0.13.0
>
>
> This change is to consolidate the Restli request handling.
> Because today what would happened after user submit a restli request is below:
>  # Standby node receives the request (flowConfig)
>  # Standby convert flowConfig to flowSpec and saved in flowCatalog
>  # In step 2, after persisting to flowCatalog, the scheduler was notified to 
> handle the real scheduling
>  # Because this is Standby node, we cannot schedule it, so forward the 
> message to the real active node.
>  
> Because the actual restli request handling part now was split into two parts 
> and handled by two different nodes. It implies that we have to add some 
> pingpong messages to ack which steps has been executed, and also it adds the 
> complexity for us to add rollback or partial recover mechanism in the future. 
> Another concern is that in the near future, we might have to refactor Helix 
> load balancing logic based on some partitioning logic. When this happened, we 
> just need to rely on Helix to do load balancing work. At that time today's 
> load balancing mechanism (splitting persistence and scheduling) seems not 
> very practical and could be error prone due to we have to concern about 
> network issue between two nodes while we perform the actual handling logic.



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