How the FIFO Scheduler arbitrates the cluster resources for a job and its tasks?

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I have cluster running with the FIFO Scheduler enabled. I submit a large job A to the cluster, which I expect to run for one hour. Then, I submit job B to cluster, which I expect to run a couple of minutes only.

I submit both jobs with the same priority.
Now my question is, how the FIFO Scheduler arbitrates the cluster resources for a job and its tasks?

Can someone please help!
Jul 19, 2018 in Big Data Hadoop by Meci Matt
• 9,460 points
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1 answer to this question.

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Let me clear your doubt. So what happens is, FIFO (first-in first-out) scheduling treats a job's importance relative to when it was submitted.
The original scheduling algorithm that was integrated within the JobTracker was called FIFO. In FIFO scheduling, a JobTracker pulled jobs from a work queue, oldest job first. This schedule had no concept of the priority or size of the job, but the approach was simple to implement and efficient.
Hope this will answer your query to some extent.
answered Jul 19, 2018 by nitinrawat895
• 10,950 points

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