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https://issues.apache.org/jira/browse/SPARK-29351?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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L. C. Hsieh reassigned SPARK-29351:
-----------------------------------
Assignee: DB Tsai
> 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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