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Posted to issues@spark.apache.org by "Imran Rashid (Jira)" <ji...@apache.org> on 2019/12/09 15:04:00 UTC
[jira] [Resolved] (SPARK-27189) Add Executor metrics and memory
usage instrumentation to the metrics system
[ https://issues.apache.org/jira/browse/SPARK-27189?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Imran Rashid resolved SPARK-27189.
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Fix Version/s: 3.0.0
Resolution: Fixed
Fixed by https://github.com/apache/spark/pull/24132
> Add Executor metrics and memory usage instrumentation 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
> Assignee: Luca Canali
> Priority: Minor
> Fix For: 3.0.0
>
> 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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