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Posted to issues@flink.apache.org by "Zhu Zhu (Jira)" <ji...@apache.org> on 2022/06/20 11:28:00 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=17556334#comment-17556334 ]
Zhu Zhu commented on FLINK-10644:
---------------------------------
The [FLIP|https://cwiki.apache.org/confluence/display/FLINK/FLIP-168%3A+Speculative+Execution+for+Batch+Job] of speculative execution has been accepted. A new umbrella ticket FLINK-28131 is opened to better track the changes of the FLIP.
> 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
> Labels: stale-assigned
>
> 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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