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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Assigned] (SPARK-24524) Improve aggregateMetrics: less memory usage and loops
Date Mon, 11 Jun 2018 21:44:00 GMT

     [ https://issues.apache.org/jira/browse/SPARK-24524?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Apache Spark reassigned SPARK-24524:
------------------------------------

    Assignee:     (was: Apache Spark)

> Improve aggregateMetrics: less memory usage and loops
> -----------------------------------------------------
>
>                 Key: SPARK-24524
>                 URL: https://issues.apache.org/jira/browse/SPARK-24524
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 2.3.1
>            Reporter: Gengliang Wang
>            Priority: Major
>
> The function `aggregateMetrics` process metrics from both executors and driver. The data
can be large. 
> This PR is to improve the implementation with one loop(before converting to string)
and one dynamic data structure.



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