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