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https://issues.apache.org/jira/browse/HADOOP-4035?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12634757#action_12634757
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Owen O'Malley commented on HADOOP-4035:
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I think that leaving the slot empty is probably correct. I'd suggest two
additions:
1. If the task requires more memory than any TT, fail it immediately.
2. If the task requires more memory than the current TT, go to the next job.
I don't think that forcing all of the slots across the cluster to have the same
amount of memory makes sense. I think that taking the physical ram for the TT /
# slots on that TT = size of slots on that TT. That would let you calculate the
number of slots that would be required on that TT.
> Modify the capacity scheduler (HADOOP-3445) to schedule tasks based on memory
> requirements and task trackers free memory
> ------------------------------------------------------------------------------------------------------------------------
>
> Key: HADOOP-4035
> URL: https://issues.apache.org/jira/browse/HADOOP-4035
> Project: Hadoop Core
> Issue Type: Bug
> Components: contrib/capacity-sched
> Affects Versions: 0.19.0
> Reporter: Hemanth Yamijala
> Assignee: Vinod K V
> Priority: Blocker
> Fix For: 0.19.0
>
> Attachments: 4035.1.patch, HADOOP-4035-20080918.1.txt
>
>
> HADOOP-3759 introduced configuration variables that can be used to specify
> memory requirements for jobs, and also modified the tasktrackers to report
> their free memory. The capacity scheduler in HADOOP-3445 should schedule
> tasks based on these parameters. A task that is scheduled on a TT that uses
> more than the default amount of memory per slot can be viewed as effectively
> using more than one slot, as it would decrease the amount of free memory on
> the TT by more than the default amount while it runs. The scheduler should
> make the used capacity account for this additional usage while enforcing
> limits, etc.
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