[jira] [Commented] (SPARK-31711) Register the executor source with the metrics system when running in local mode.

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

    [ https://issues.apache.org/jira/browse/SPARK-31711?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17244496#comment-17244496 ] 

Apache Spark commented on SPARK-31711:
--------------------------------------

User 'LucaCanali' has created a pull request for this issue:
https://github.com/apache/spark/pull/30619

> Register the executor source with the metrics system when running in local mode.
> --------------------------------------------------------------------------------
>
>                 Key: SPARK-31711
>                 URL: https://issues.apache.org/jira/browse/SPARK-31711
>             Project: Spark
>          Issue Type: Improvement
>          Components: Spark Core
>    Affects Versions: 3.0.0
>            Reporter: Luca Canali
>            Assignee: Luca Canali
>            Priority: Minor
>             Fix For: 3.1.0
>
>
> The Apache Spark metrics system provides many useful insights on the Spark workload. In particular, the executor source metrics (https://github.com/apache/spark/blob/master/docs/monitoring.md#component-instance--executor) provide detailed info, including the number of active tasks, some I/O metrics, and task metrics details. Executor source metrics, contrary to other sources (for example ExecutorMetrics source), are not yet available when running in local mode.
> This JIRA proposes to register the executor source with the Spark metrics system when running in local mode, as this can be very useful when testing and troubleshooting Spark workloads.



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