[jira] [Commented] (SPARK-20776) Fix JobProgressListener perf. problems caused by empty TaskMetrics initialization

["Ruslan Dautkhanov (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-20776?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16016168#comment-16016168 ] 

Ruslan Dautkhanov commented on SPARK-20776:
-------------------------------------------

Thank you [~joshrosen]. Would it be possible to backport this patch to Spark 2.1 as well?

> Fix JobProgressListener perf. problems caused by empty TaskMetrics 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
>             Fix For: 2.2.0
>
>
> 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 constructing empty TaskMetrics instances inside JobProgressListener. As I'll show in a PR, we can slightly simplify the code to remove the need to construct one empty TaskMetrics per onTaskSubmitted event.



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