[
https://issues.apache.org/jira/browse/SPARK-24342?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Hyukjin Kwon resolved SPARK-24342.
----------------------------------
Resolution: Incomplete
> Large Task prior scheduling to Reduce overall execution time
> ------------------------------------------------------------
>
> Key: SPARK-24342
> URL: https://issues.apache.org/jira/browse/SPARK-24342
> Project: Spark
> Issue Type: Improvement
> Components: Spark Core
> Affects Versions: 2.3.0
> Reporter: gao
> Priority: Major
> Labels: bulk-closed
> Attachments: tasktimespan.PNG
>
>
> When performing a set of concurrent tasks, if the relatively large task
> (long-time task) performs the first small-task execution, the overall
> execution time
> can be shortened.
> Therefore, Spark needs to add a new function to perform Large Task of a group
> of task set prior scheduling and small tasks after scheduling
> The time span of the task can be identified based on the historical
> execution time. We can think that the task with a long execution time will
> longe in
> future. Record the last task execution time together with the task's key as a
> log file, and load the log file at the next execution time. use The
> RangePartitioner and partitioning partitioning methods prioritize large tasks
> and can achieve concurrent task optimization.
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
