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https://issues.apache.org/jira/browse/SPARK-20776?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Josh Rosen updated SPARK-20776:
-------------------------------
    Attachment: screenshot-1.png

> Fix performance problems in TaskMetrics.nameToAccums map initialization
> -----------------------------------------------------------------------
>
>                 Key: SPARK-20776
>                 URL: https://issues.apache.org/jira/browse/SPARK-20776
>             Project: Spark
>          Issue Type: Improvement
>          Components: Spark Core
>    Affects Versions: 2.2.0
>            Reporter: Josh Rosen
>            Assignee: Josh Rosen
>         Attachments: screenshot-1.png
>
>
> In 
> {code}
> ./bin/spark-shell --master=local[64]
> {code}
> I ran 
> {code}
>   sc.parallelize(1 to 100000, 100000).count()
> {code}
> and profiled the time spend in the LiveListenerBus event processing thread. I 
> discovered that the majority of the time was being spent initializing the 
> {{TaskMetrics.nameToAccums}} map (see attached screenshot). By replacing the 
> use of Scala's LinkedHashMap with a pre-sized Java hashmap I was able to 
> remove this bottleneck and prevent dropped listener events.



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