[jira] [Resolved] (SPARK-21225) decrease the Mem using for variable 'tasks' in function resourceOffers

["Wenchen Fan (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-21225?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Wenchen Fan resolved SPARK-21225.
---------------------------------
       Resolution: Fixed
    Fix Version/s: 2.3.0

Issue resolved by pull request 18435
[https://github.com/apache/spark/pull/18435]

> decrease the Mem using for variable 'tasks' in function resourceOffers
> ----------------------------------------------------------------------
>
>                 Key: SPARK-21225
>                 URL: https://issues.apache.org/jira/browse/SPARK-21225
>             Project: Spark
>          Issue Type: Bug
>          Components: Spark Core
>    Affects Versions: 2.1.0, 2.1.1
>            Reporter: yangZhiguo
>            Priority: Minor
>             Fix For: 2.3.0
>
>   Original Estimate: 1h
>  Remaining Estimate: 1h
>
>     In the function 'resourceOffers', It declare a variable 'tasks' for storage the tasks which have  allocated a executor. It declared like this:
> *{color:#d04437}val tasks = shuffledOffers.map(o => new ArrayBuffer[TaskDescription](o.cores)){color}*
> But, I think this code only conside a situation for that one task per core. If the user config the "spark.task.cpus" as 2 or 3, It really don't need so much space. I think It can motify as follow:
> {color:#14892c}*val tasks = shuffledOffers.map(o => new ArrayBuffer[TaskDescription](Math.ceil(o.cores*1.0/CPUS_PER_TASK).toInt))*{color}



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