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https://issues.apache.org/jira/browse/GOBBLIN-1634?focusedWorklogId=762618&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-762618
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ASF GitHub Bot logged work on GOBBLIN-1634:
-------------------------------------------

                Author: ASF GitHub Bot
            Created on: 26/Apr/22 23:04
            Start Date: 26/Apr/22 23:04
    Worklog Time Spent: 10m 
      Work Description: codecov-commenter commented on PR #3495:
URL: https://github.com/apache/gobblin/pull/3495#issuecomment-1110329474

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   ```diff
   @@             Coverage Diff              @@
   ##             master    #3495      +/-   ##
   ============================================
   + Coverage     46.70%   48.50%   +1.79%     
   + Complexity    10400     7728    -2672     
   ============================================
     Files          2077     1442     -635     
     Lines         81150    56993   -24157     
     Branches       9059     6570    -2489     
   ============================================
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 | `0.00% <0.00%> (ø)` | |
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 | `68.87% <0.00%> (ø)` | |
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Issue Time Tracking
-------------------

            Worklog Id:     (was: 762618)
    Remaining Estimate: 0h
            Time Spent: 10m

> GaaS Flow SLA Kills should be retryable if configured
> -----------------------------------------------------
>
>                 Key: GOBBLIN-1634
>                 URL: https://issues.apache.org/jira/browse/GOBBLIN-1634
>             Project: Apache Gobblin
>          Issue Type: Task
>            Reporter: William Lo
>            Priority: Major
>          Time Spent: 10m
>  Remaining Estimate: 0h
>
> On Gobblin as a Service flows can fail SLAs if they do not receive a Kafka 
> event in some designated amount of time.
> Since GaaS supports retrys on failures, these failures due to SLAs should 
> also be retryable.
> However, if the flow is cancelled from a user specified event through the API 
> we do not want to retry.
> Additionally, we also do not want to retry if a flow is skipped due to 
> concurrent jobs running at the same time, as it is unlikely without a more 
> sophisticated waiting algorithm that the job will be finished by the time the 
> job is retried again, wasting resources.



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