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Scheduler in Big Data Hadoop

Fair scheduler:

i) jobs to make equal progress instead of following the FIFO order then  must use Fair Scheduling.

ii) If slow connectivity and data locality plays a vital role and makes a significant difference to the job runtime then  must use Fair Scheduling.

iii) if there is lot of variability in the utilization between pools.

Capacity scheduler:

i) If the jobs require scheduler detrminism then Capacity Scheduler can be useful.

ii) CS's memory based scheduling method is useful if the jobs have varying memory requirements.

iii) want to enforce resource allocation  because you know very well about the cluster utilization and workload then use Capacity Scheduler.

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