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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2018/12/18 02:53:00 UTC

[jira] [Assigned] (SPARK-23431) Expose the new executor memory metrics at the stage level

     [ https://issues.apache.org/jira/browse/SPARK-23431?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-23431:
------------------------------------

    Assignee:     (was: Apache Spark)

> Expose the new executor memory metrics at the stage level
> ---------------------------------------------------------
>
>                 Key: SPARK-23431
>                 URL: https://issues.apache.org/jira/browse/SPARK-23431
>             Project: Spark
>          Issue Type: Sub-task
>          Components: Spark Core
>    Affects Versions: 2.2.1
>            Reporter: Edwina Lu
>            Priority: Major
>
> Collect and show the new executor memory metrics for each stage, to provide more information on how memory is used per stage.
> Modify the AppStatusListener to track the peak values for JVM used memory, execution memory, storage memory, and unified memory for each executor for each stage.
> Add the peak values for the metrics to the stages REST API. Also add a new stageSummary REST API, which will return executor summary metrics for a specified stage:
> {code:java}
> curl http://<spark history server>:18080/api/v1/applications/<application id>/<application attempt/stages/<stage id>/<stage attempt>/executorSummary{code}
> This is a subtask for SPARK-23206. Please refer to the design doc for that ticket for more details.



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