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Posted to issues@flink.apache.org by "Qi (Jira)" <ji...@apache.org> on 2019/09/03 07:29:00 UTC
[jira] [Commented] (FLINK-10644) Batch Job: Speculative execution
[ https://issues.apache.org/jira/browse/FLINK-10644?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16921217#comment-16921217 ]
Qi commented on FLINK-10644:
----------------------------
Thank you [~till.rohrmann] for the update. I will look into it and evaluate whether we can contribute to this issue.
> Batch Job: Speculative execution
> --------------------------------
>
> Key: FLINK-10644
> URL: https://issues.apache.org/jira/browse/FLINK-10644
> Project: Flink
> Issue Type: New Feature
> Components: Runtime / Coordination
> Reporter: JIN SUN
> Assignee: BoWang
> Priority: Major
>
> Strugglers/outlier are tasks that run slower than most of the all tasks in a Batch Job, this somehow impact job latency, as pretty much this straggler will be in the critical path of the job and become as the bottleneck.
> Tasks may be slow for various reasons, including hardware degradation, or software mis-configuration, or noise neighboring. It's hard for JM to predict the runtime.
> To reduce the overhead of strugglers, other system such as Hadoop/Tez, Spark has *_speculative execution_*. Speculative execution is a health-check procedure that checks for tasks to be speculated, i.e. running slower in a ExecutionJobVertex than the median of all successfully completed tasks in that EJV, Such slow tasks will be re-submitted to another TM. It will not stop the slow tasks, but run a new copy in parallel. And will kill the others if one of them complete.
> This JIRA is an umbrella to apply this kind of idea in FLINK. Details will be append later.
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