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

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

yangZhiguo created SPARK-21225:
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             Summary: 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: Improvement
          Components: Spark Core
    Affects Versions: 2.1.1, 2.1.0
            Reporter: yangZhiguo
            Priority: Minor


    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:

val tasks = shuffledOffers.map(o => new ArrayBuffer[TaskDescription](Math.ceil(o.cores*1.0/CPUS_PER_TASK).toInt))



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