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https://issues.apache.org/jira/browse/YARN-2022?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sunil G updated YARN-2022:
--------------------------
Description:
Cluster Size = 16GB [2NM's]
Queue A Capacity = 50%
Queue B Capacity = 50%
Consider there are 3 applications running in Queue A which has taken the full
cluster capacity.
J1 = 2GB AM + 1GB * 4 Maps
J2 = 2GB AM + 1GB * 4 Maps
J3 = 2GB AM + 1GB * 2 Maps
Another Job J4 is submitted in Queue B [J4 needs a 2GB AM + 1GB * 2 Maps ].
Currently in this scenario, Jobs J3 will get killed including its AM.
It is better if AM can be given least priority among multiple applications. In
this same scenario, map tasks from J3 and J4 can be preempted.
Later when cluster is free, maps can be allocated to these Jobs.
was:
Cluster Size = 16GB [2NM's]
Queue A Capacity = 50%
Queue B Capacity = 50%
Consider there are 3 applications running in Queue A which has taken the full
cluster capacity.
J1 = 2GB AM + 1GB * 4 Maps
J2 = 2GB AM + 1GB * 4 Maps
J3 = 2GB AM + 1GB * 2 Maps
Another Job J4 is submitted in Queue B [J4 needs a 2GB AM + 1GB * 2 Maps ].
Currently in this scenario, Jobs J3 will get killed including its AM.
It is better if AM can be given least priroity among multiple applications. In
this same scenario, map tasks from J3 and J4 can be preempted.
Later when cluster is free, maps can be allocated to these Jobs.
> Preempting an Application Master container can be kept as least priority when
> multiple applications are marked for preemption by
> ProportionalCapacityPreemptionPolicy
> ---------------------------------------------------------------------------------------------------------------------------------------------------------------------
>
> Key: YARN-2022
> URL: https://issues.apache.org/jira/browse/YARN-2022
> Project: Hadoop YARN
> Issue Type: Improvement
> Components: resourcemanager
> Affects Versions: 2.4.0
> Reporter: Sunil G
> Assignee: Sunil G
>
> Cluster Size = 16GB [2NM's]
> Queue A Capacity = 50%
> Queue B Capacity = 50%
> Consider there are 3 applications running in Queue A which has taken the full
> cluster capacity.
> J1 = 2GB AM + 1GB * 4 Maps
> J2 = 2GB AM + 1GB * 4 Maps
> J3 = 2GB AM + 1GB * 2 Maps
> Another Job J4 is submitted in Queue B [J4 needs a 2GB AM + 1GB * 2 Maps ].
> Currently in this scenario, Jobs J3 will get killed including its AM.
> It is better if AM can be given least priority among multiple applications.
> In this same scenario, map tasks from J3 and J4 can be preempted.
> Later when cluster is free, maps can be allocated to these Jobs.
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