[jira] [Resolved] (SPARK-29351) Avoid full synchronization in ShuffleMapStage

["L. C. Hsieh (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-29351?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

L. C. Hsieh resolved SPARK-29351.
---------------------------------
    Resolution: Resolved

> Avoid full synchronization in ShuffleMapStage
> ---------------------------------------------
>
>                 Key: SPARK-29351
>                 URL: https://issues.apache.org/jira/browse/SPARK-29351
>             Project: Spark
>          Issue Type: New Feature
>          Components: Spark Core
>    Affects Versions: 2.4.4
>         Environment: # 
>            Reporter: DB Tsai
>            Assignee: DB Tsai
>            Priority: Major
>             Fix For: 3.0.0
>
>
> In one of our production streaming jobs that has more than 1k executors, and each has 20 cores, Spark spends significant portion of time (30s) in sending out the `ShuffeStatus`. We find there are two issues.
> # In driver's message loop, it's calling `serializedMapStatus` which is in sync block. When the job scales really big, it can cause the contention.
> # When the job is big, the `MapStatus` is huge as well, the serialization time and compression time is slow.
> This work aims to address the first problem.
>  
>  
>  



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