Customer in the case reports the following issue:
In the background of hadoop, when you run a query through hive, it will use some yarn queues to dispatch the workload of MapReduce. Each queue has some limits in terms of resources they can use and so on. This is used to manage priorities and make sure you can run some different jobs in parallel.
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