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https://issues.apache.org/jira/browse/SPARK-51666?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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ASF GitHub Bot updated SPARK-51666:
-----------------------------------
    Labels: pull-request-available  (was: )

>  Fix sparkStageCompleted executorRunTime metric calculation
> -----------------------------------------------------------
>
>                 Key: SPARK-51666
>                 URL: https://issues.apache.org/jira/browse/SPARK-51666
>             Project: Spark
>          Issue Type: Bug
>          Components: Spark Core
>    Affects Versions: 4.1.0
>            Reporter: Weichen Xu
>            Priority: Major
>              Labels: pull-request-available
>
> Fix sparkStageCompleted executorRunTime metric calculation:
> In case of when a spark task uses multiple CPU’s, the CPU seconds should 
> capture the total execution seconds across all CPU’s. i.e. if a stage set 
> cpus-of-task to be 48, if we used 10 seconds on each CPU, the total CPU 
> seconds for that stage should be 10 seconds X 1 Tasks X 48 CPU = 480 
> CPU-seconds. If another task only used 1 CPU then its total CPU seconds is 10 
> seconds X 1 CPU = 10 CPU-Seconds.
> *This is very important fix since spark introduces stage level scheduling (so 
> that different stage tasks are configured with different number of CPUs) , 
> without this fix, the data pipeline revenue calculation spreads DBUs evenly 
> across these tasks.*



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