[jira] [Assigned] (SPARK-32898) totalExecutorRunTimeMs is too big

["Apache Spark (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-32898?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-32898:
------------------------------------

    Assignee: Apache Spark

> totalExecutorRunTimeMs is too big
> ---------------------------------
>
>                 Key: SPARK-32898
>                 URL: https://issues.apache.org/jira/browse/SPARK-32898
>             Project: Spark
>          Issue Type: Bug
>          Components: Spark Core
>    Affects Versions: 3.0.1
>            Reporter: Linhong Liu
>            Assignee: Apache Spark
>            Priority: Major
>
> This might be because of incorrectly calculating executorRunTimeMs in Executor.scala
>  The function collectAccumulatorsAndResetStatusOnFailure(taskStartTimeNs) can be called when taskStartTimeNs is not set yet (it is 0).
> As of now in master branch, here is the problematic code: 
> [https://github.com/apache/spark/blob/master/core/src/main/scala/org/apache/spark/executor/Executor.scala#L470]
>  
> There is a throw exception before this line. The catch branch still updates the metric.
>  However the query shows as SUCCESSful. Maybe this task is speculative. Not sure.
>  
> submissionTime in LiveExecutionData may also have similar problem.
> [https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/execution/ui/SQLAppStatusListener.scala#L449]
>  



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