[jira] [Updated] (SPARK-27189) Add Executor level memory usage metrics to the metrics system

["Luca Canali (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-27189?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Luca Canali updated SPARK-27189:
--------------------------------
    Summary: Add Executor level memory usage metrics to the metrics system  (was: Add Executor level metrics to the metrics system)

> Add Executor level memory usage metrics to the metrics system
> -------------------------------------------------------------
>
>                 Key: SPARK-27189
>                 URL: https://issues.apache.org/jira/browse/SPARK-27189
>             Project: Spark
>          Issue Type: Improvement
>          Components: Spark Core
>    Affects Versions: 3.0.0
>            Reporter: Luca Canali
>            Priority: Minor
>         Attachments: Example_dashboard_Spark_Memory_Metrics.PNG
>
>
> This proposes to add instrumentation of memory usage via the Spark Dropwizard/Codahale metrics system. Memory usage metrics are available via the Executor metrics, recently implemented as detailed in https://issues.apache.org/jira/browse/SPARK-23206. 
> Making metrics usage metrics available via the Spark Dropwzard metrics system allow to improve Spark performance dashboards and study memory usage, as in the attached example graph.



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