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From "Vinod K V (JIRA)" <j...@apache.org>
Subject [jira] Commented: (HADOOP-4035) Modify the capacity scheduler (HADOOP-3445) to schedule tasks based on memory requirements and task trackers free memory
Date Mon, 03 Nov 2008 09:00:50 GMT

    [ https://issues.apache.org/jira/browse/HADOOP-4035?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12644664#action_12644664
] 

Vinod K V commented on HADOOP-4035:
-----------------------------------

{quote}
Should the Capacity Scheduler use the entire RAM of a TT when making a scheduling decision,
or an offset?
I am not really sure either way. Given earlier discussions we've had that virtual memory is
what really matters, I am guessing we don't need it.
{quote}
Having the offset value also for RAM will make configuration as well as scheduling logic symmetric
w.r.t both vmem and ram, IMO.

bq. Similar to excluded, rename variables to mapred.task.maxvmem.default and mapred.task.maxvmem.limit
?
Or as Owen/Sameer proposed, can we call them mapred.task.memory.hardlimit.default and mapred.task.memory.hardlimit?
And substituting softlimit for RAM?

> 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: 0.20.0
>
>         Attachments: 4035.1.patch, HADOOP-4035-20080918.1.txt, HADOOP-4035-20081006.1.txt,
HADOOP-4035-20081006.txt, HADOOP-4035-20081008.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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