@mqureshi Thank you for your answers. I want ask one more question. If I change just only on Ambari UI. So Is it equal with I used setrep command ? Or I need configure on Ambari UI before use setrep ... View more

@Rajkumar Singh I find this doc from hortonworks https://docs.hortonworks.com/HDPDocuments/HDP2/HDP-2.5.3/bk_yarn-resource-management/content/setting_application_limits.html and this from apache hadoop: I know if I change yarn.scheduler.capacity.maximum-am-resource-percent then Max Application Master Resources will change. But I want to know which configure it depend to calculate. For example if true I set yarn.scheduler.capacity.maximum-am-resource-percent = 1 (100%) then Max Application Master Resources balance with yarn.nodemanager.resource.memory-mb ... View more

@Rajkumar Singh So how can I define Max Application Master Resources. In default Configured Max Application Master Limit is set to 20%. If I increase figure, Max Application Master Resources increase. But how this Max Application Master Resources is calculated ? ... View more

@Sunile Manjee Do you have any documents relate to this (cpu scheduling) ? ... View more

@Timothy Spann Yarn app not big so much, I run Apache Kylin and buid cubes. When running, Yarn app follow my memory setting. But for CPU, even when I set limit for CPU, it always exceed over my limit. I mean when I set CPU limit 80%, but when app running , it reach to 100% even 200% ... View more

@mqureshi thanks for your answer. So about the performance two nodes is the same one node if they have the same total hardware( and also the same if I spare to 5 VMs node) ? Can you suggest me small cluster design for 3 or 5 node. I want use this on production. I find the typical cluster referent from document Masters -- HDFS NameNode, YARN ResourceManager, and HBase Master. Slaves -- HDFS DataNodes, YARN NodeManagers, and HBase RegionServers ... View more