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https://issues.apache.org/jira/browse/MAPREDUCE-1361?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Scott Chen updated MAPREDUCE-1361:
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Status: Patch Available (was: Open)
> In the pools with minimum slots, new job will always receive slots even if
> the minimum slots limit has been fulfilled
> ---------------------------------------------------------------------------------------------------------------------
>
> Key: MAPREDUCE-1361
> URL: https://issues.apache.org/jira/browse/MAPREDUCE-1361
> Project: Hadoop Map/Reduce
> Issue Type: Improvement
> Components: contrib/fair-share
> Affects Versions: 0.20.2
> Reporter: Scott Chen
> Assignee: Scott Chen
> Fix For: 0.20.2
>
> Attachments: MAPREDUCE-1361-v1.patch
>
>
> In 0.20, the fair scheduler compares all the jobs based on their running
> tasks, minimum slots and deficit. If the number of running tasks is less than
> the number of minimum slots, it will be scheduled first.
> Consider a pool with minimum slot of 1000 but already have 5000 running tasks.
> If we launch another job on this pool, this new job will receive minimum
> slots based on its weight. This new job may have higher weight if
> NewJobWeightBooster is used.
> So this new job will still get extra slots even if the pool's running tasks
> are way more than the minimum slots.
> The latest version does not have this problem because it first compares pool
> then compares jobs in the pool.
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