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https://issues.apache.org/jira/browse/SPARK-27324?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16806297#comment-16806297
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Wing Yew Poon commented on SPARK-27324:
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I'd hold off on this until SPARK-26329 is resolved.
> document configurations related to executor metrics
> ---------------------------------------------------
>
> Key: SPARK-27324
> URL: https://issues.apache.org/jira/browse/SPARK-27324
> Project: Spark
> Issue Type: Improvement
> Components: Documentation
> Affects Versions: 3.0.0
> Reporter: Wing Yew Poon
> Priority: Major
>
> SPARK-23429 introduced executor memory metrics, and the configuration,
> spark.eventLog.logStageExecutorMetrics.enabled, that determines if per-stage
> per-executor metric peaks get written to the event log. (The metrics are
> polled and sent in the heartbeat, and this is always done; the configuration
> is only to determine if aggregated metric peaks are written to the event log.)
> SPARK-24958 added proc fs based metrics to the executor memory metrics, and
> the configuration, spark.eventLog.logStageExecutorProcessTreeMetrics.enabled,
> to determine if these additional (more expensive) metrics are collected when
> metrics are polled.
> SPARK-26329 will introduce a configuration,
> spark.executor.metrics.pollingInterval, to allow polling at more frequent
> intervals than the executor heartbeat.
> These configurations and how they relate to each other should be documented
> in the Configuration page.
>
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