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Posted to issues@spark.apache.org by "Luca Canali (JIRA)" <ji...@apache.org> on 2019/03/18 12:59:00 UTC

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

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

Luca Canali updated SPARK-27189:
--------------------------------
    Attachment: Example_dashboard_Spark_Memory_Metrics.PNG

> Add Executor level 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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