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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Assigned] (SPARK-23353) Allow ExecutorMetricsUpdate events to be logged to the event log with sampling
Date Wed, 07 Feb 2018 13:48:46 GMT

     [ https://issues.apache.org/jira/browse/SPARK-23353?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Apache Spark reassigned SPARK-23353:
------------------------------------

    Assignee:     (was: Apache Spark)

> Allow ExecutorMetricsUpdate events to be logged to the event log with sampling
> ------------------------------------------------------------------------------
>
>                 Key: SPARK-23353
>                 URL: https://issues.apache.org/jira/browse/SPARK-23353
>             Project: Spark
>          Issue Type: Improvement
>          Components: Spark Core
>    Affects Versions: 2.2.1
>            Reporter: Lantao Jin
>            Priority: Minor
>
> [SPARK-22050|https://issues.apache.org/jira/browse/SPARK-22050] give a way to log BlockUpdated
events. Actually, the ExecutorMetricsUpdates are also very useful if it can be persisted for
further analysis. 
> As a performance reason and actual use case, the PR offers a fraction configuration which
can sample the events to be persisted. we also refactor for BlockUpdated with the same sampling
way.



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