[GitHub] [spark] dongjoon-hyun commented on a change in pull request #27526: [SPARK-30775][DOC] Improve the description of executor metrics in the monitoring documentation.

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dongjoon-hyun commented on a change in pull request #27526: [SPARK-30775][DOC] Improve the description of executor metrics in the monitoring documentation.
URL: https://github.com/apache/spark/pull/27526#discussion_r399914694
 
 

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 File path: docs/monitoring.md
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 @@ -657,16 +657,60 @@ A list of the available metrics, with a short description:
 
 ### Executor Metrics
 
-Executor-level metrics are sent from each executor to the driver as part of the Heartbeat to describe the performance metrics of Executor itself like JVM heap memory, GC information.
-Executor metric values and their measured peak values per executor are exposed via the REST API at the end point `/applications/[app-id]/executors`.
-In addition, aggregated per-stage peak values of the executor metrics are written to the event log if `spark.eventLog.logStageExecutorMetrics` is true.
-Executor metrics are also exposed via the Spark metrics system based on the Dropwizard metrics library.
-A list of the available metrics, with a short description:
+Executor-level metrics are sent from each executor to the driver as part of the Heartbeat to describe
+the performance metrics of Executor itself like JVM heap memory, GC information.
 
 Review comment:
   We don't need to touch the above two lines in this PR because the content looks identical.

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