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Posted to issues@spark.apache.org by "Wenchen Fan (JIRA)" <ji...@apache.org> on 2017/05/17 05:06:04 UTC

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

     [ https://issues.apache.org/jira/browse/SPARK-20776?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Wenchen Fan resolved SPARK-20776.
---------------------------------
       Resolution: Fixed
    Fix Version/s: 2.2.0

Issue resolved by pull request 18008
[https://github.com/apache/spark/pull/18008]

> 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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