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Posted to issues@spark.apache.org by "Jiang Xingbo (JIRA)" <ji...@apache.org> on 2018/07/30 14:52:00 UTC

[jira] [Resolved] (SPARK-24581) Design: BarrierTaskContext.barrier()

     [ https://issues.apache.org/jira/browse/SPARK-24581?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Jiang Xingbo resolved SPARK-24581.
----------------------------------
    Resolution: Fixed

> Design: BarrierTaskContext.barrier()
> ------------------------------------
>
>                 Key: SPARK-24581
>                 URL: https://issues.apache.org/jira/browse/SPARK-24581
>             Project: Spark
>          Issue Type: Story
>          Components: ML, Spark Core
>    Affects Versions: 3.0.0
>            Reporter: Xiangrui Meng
>            Assignee: Jiang Xingbo
>            Priority: Major
>
> We need to provide a communication barrier function to users to help coordinate tasks within a barrier stage. This is very similar to MPI_Barrier function in MPI. This story is for its design.
>  
> Requirements:
>  * Low-latency. The tasks should be unblocked soon after all tasks have reached this barrier. The latency is more important than CPU cycles here.
>  * Support unlimited timeout with proper logging. For DL tasks, it might take very long to converge, we should support unlimited timeout with proper logging. So users know why a task is waiting.



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