GitHub user JackYangzg opened a pull request:
https://github.com/apache/spark/pull/18435
[SPARK-21225][CORE] decrease the Mem using for variable 'tasks' in fuâ¦
JIRA Issue:https://issues.apache.org/jira/browse/SPARK-21225
In the function 'resourceOffers', It declare a variable 'tasks' for storage
the tasks which have allocated a executor. It declared like this:
`val tasks = shuffledOffers.map(o => new
ArrayBuffer[TaskDescription](o.cores))`
But, I think this code only conside a situation for that one task per core.
If the user set "spark.task.cpus" as 2 or 3, It really don't need so much Mem.
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))`
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/JackYangzg/spark motifyTaskCoreDisp
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/18435.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #18435
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commit c885806608b3002ae34a73d6dc2ff3479dfc3f9b
Author: æ¨æ²»å½10192065 <[email protected]>
Date: 2017-06-27T11:40:05Z
[SPARK-21225][CORE] decrease the Mem using for variable 'tasks' in function
resourceOffers
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