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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