hadoop-yarn-issues mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "Naganarasimha G R (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (YARN-3215) Respect labels in CapacityScheduler when computing headroom
Date Thu, 14 Jan 2016 17:49:40 GMT

    [ https://issues.apache.org/jira/browse/YARN-3215?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15098502#comment-15098502
] 

Naganarasimha G R commented on YARN-3215:
-----------------------------------------

Thanks for detailing out [~sunilg] and small correction to the solution what you have mentioned
as per our discussion, it should be
min (total *unused* resourcelimit for a given label, <existing headroom calculation>
), so that headroom doesn't exceed whats actually available! right ?
cc /[~wangda] thoughts?

> Respect labels in CapacityScheduler when computing headroom
> -----------------------------------------------------------
>
>                 Key: YARN-3215
>                 URL: https://issues.apache.org/jira/browse/YARN-3215
>             Project: Hadoop YARN
>          Issue Type: Sub-task
>          Components: capacityscheduler
>            Reporter: Wangda Tan
>            Assignee: Naganarasimha G R
>         Attachments: YARN-3215.v1.001.patch
>
>
> In existing CapacityScheduler, when computing headroom of an application, it will only
consider "non-labeled" nodes of this application.
> But it is possible the application is asking for labeled resources, so headroom-by-label
(like 5G resource available under node-label=red) is required to get better resource allocation
and avoid deadlocks such as MAPREDUCE-5928.
> This JIRA could involve both API changes (such as adding a label-to-available-resource
map in AllocateResponse) and also internal changes in CapacityScheduler.



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

Mime
View raw message