hadoop yarn 资源配置

yarn.scheduler.capacity.default.minimum-user-limit-percent=100
yarn.scheduler.capacity.maximum-am-resource-percent=0.2
yarn.scheduler.capacity.maximum-applications=10000
yarn.scheduler.capacity.node-locality-delay=40
yarn.scheduler.capacity.root.accessible-node-labels=*
yarn.scheduler.capacity.root.acl_administer_queue=*
yarn.scheduler.capacity.root.capacity=100
yarn.scheduler.capacity.root.default.acl_administer_jobs=*
yarn.scheduler.capacity.root.default.acl_submit_applications=*
yarn.scheduler.capacity.root.default.capacity=100
yarn.scheduler.capacity.root.default.maximum-capacity=100
yarn.scheduler.capacity.root.default.state=RUNNING
yarn.scheduler.capacity.root.default.user-limit-factor=1
yarn.scheduler.capacity.root.queues=default











队列配置队列使用的的资源大小
yarn.scheduler.capacity.default.minimum-user-limit-percent=100
yarn.scheduler.capacity.maximum-am-resource-percent=0.2
yarn.scheduler.capacity.maximum-applications=10000
yarn.scheduler.capacity.node-locality-delay=40
yarn.scheduler.capacity.root.a.capacity=25
yarn.scheduler.capacity.root.a.maximum-capacity=25
yarn.scheduler.capacity.root.accessible-node-labels=*
yarn.scheduler.capacity.root.acl_administer_queue=*
yarn.scheduler.capacity.root.b.capacity=25
yarn.scheduler.capacity.root.b.maximum-capacity=25
yarn.scheduler.capacity.root.c.capacity=25
yarn.scheduler.capacity.root.c.maximum-capacity=25
yarn.scheduler.capacity.root.capacity=100
yarn.scheduler.capacity.root.default.acl_administer_jobs=*
yarn.scheduler.capacity.root.default.acl_submit_applications=*
yarn.scheduler.capacity.root.default.capacity=25
yarn.scheduler.capacity.root.default.maximum-capacity=25
yarn.scheduler.capacity.root.default.state=RUNNING
yarn.scheduler.capacity.root.default.user-limit-factor=1
yarn.scheduler.capacity.root.queues=default,a,b,c