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Posted to issues@spark.apache.org by "Holden Karau (Jira)" <ji...@apache.org> on 2020/08/26 22:19:00 UTC
[jira] [Resolved] (SPARK-32643) [Cleanup] Consolidate state kept in
ExecutorDecommissionInfo with TaskSetManager.tidToExecutorKillTimeMapping
[ https://issues.apache.org/jira/browse/SPARK-32643?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Holden Karau resolved SPARK-32643.
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Fix Version/s: 3.1.0
Resolution: Fixed
> [Cleanup] Consolidate state kept in ExecutorDecommissionInfo with TaskSetManager.tidToExecutorKillTimeMapping
> -------------------------------------------------------------------------------------------------------------
>
> Key: SPARK-32643
> URL: https://issues.apache.org/jira/browse/SPARK-32643
> Project: Spark
> Issue Type: Sub-task
> Components: Spark Core
> Affects Versions: 3.1.0
> Reporter: Devesh Agrawal
> Assignee: Devesh Agrawal
> Priority: Minor
> Fix For: 3.1.0
>
>
> The decommissioning state is a bit fragment across two places in the TaskSchedulerImpl:
> * [https://github.com/apache/spark/pull/29014/|https://github.com/apache/spark/pull/29014/files] stored the incoming decommission info messages in _TaskSchedulerImpl.executorsPendingDecommission._
> * While [https://github.com/apache/spark/pull/28619/|https://github.com/apache/spark/pull/28619/files] was storing just the executor end time in the map _TaskSetManager.tidToExecutorKillTimeMapping_ (which in turn is contained in TaskSchedulerImpl).
> While the two states are not really overlapping, its a bit of a code hygiene concern to save this state in two places.
> With [https://github.com/apache/spark/pull/29422], TaskSchedulerImpl is emerging as the place where all decommissioning book keeping is kept within the driver. So consolidate the information in _tidToExecutorKillTimeMapping_ into _ExecutorDecommissionInfo._
>
>
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