Improve limit handling in fairshare scheduler
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Key: HADOOP-5186
URL: https://issues.apache.org/jira/browse/HADOOP-5186
Project: Hadoop Core
Issue Type: Improvement
Components: contrib/fair-share
Reporter: Hemanth Yamijala
Priority: Minor
The fairshare scheduler has a way by which it can limit the number of jobs in a
pool by setting the maxRunningJobs parameter in its allocations definition.
This limit is treated as a hard limit, and comes into effect even if the
cluster is free to run more jobs, resulting in underutilization. Possibly the
same thing happens with the parameter maxRunningJobs for user and
userMaxJobsDefault. It may help to treat these as a soft limit and run
additional jobs to keep the cluster fully utilized.
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