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How to Plan and Configure YARN and MapReduce 2

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YARN takes the resource management capabilities that were in MapReduce and packages them so they can be used by new engines.  This also streamlines MapReduce to do what it does best, process data.  With YARN, you can now run multiple applications in Hadoop, all sharing a common resource management. In this blog post we’ll walk through how to plan for and configure processing capacity in your enterprise HDP 2.0 cluster deployment. This will cover YARN and MapReduce 2. We’ll use an example physical cluster of slave nodes each with 48 GB ram, 12 disks and 2 hex core CPUs (12 total cores). YARN takes into account all the available compute resources on each machine in the cluster. Based on the available resources, YARN will negotiate resource requests from applications (such as MapReduce) running in the cluster. YARN then provides processing capacity to each application by allocating Containers. A Container is the basic unit of processing capacity in YARN, and is an encaps…