GET api/v1/clusters/HDP/configurations可以获得所有的配置信息(例如,http://hdp0:8080/api/v1/clusters/HDP/configurations);但是只是一级信息;
比如我想要获得yarn的scheduler的节点信息,将会找到:
1 { 2 "href" : "http://hdp0:8080/api/v1/clusters/HDP/configurations?type=capacity-scheduler&tag=version1", 3 "tag" : "version1", 4 "type" : "capacity-scheduler", 5 "version" : 1, 6 "Config" : { 7 "cluster_name" : "HDP", 8 "stack_id" : "HDP-2.6" 9 } 10 }
这里注意,type就是配置页面的配置项的名称,在配置页面中该配置项为“Capacity Scheduler”,处理的时候,中间的空格处理为"-",全字小写即使节点名称。然后,通过访问href指定的链接:http://hdp0:8080/api/v1/clusters/HDP/configurations?type=capacity-scheduler&tag=version1就可以看到该配置的详细信息
1 { 2 "href" : "http://hdp0:8080/api/v1/clusters/HDP/configurations?type=capacity-scheduler&tag=version1", 3 "items" : [ 4 { 5 "href" : "http://hdp0:8080/api/v1/clusters/HDP/configurations?type=capacity-scheduler&tag=version1", 6 "tag" : "version1", 7 "type" : "capacity-scheduler", 8 "version" : 1, 9 "Config" : { 10 "cluster_name" : "HDP", 11 "stack_id" : "HDP-2.6" 12 }, 13 "properties" : { 14 "capacity-scheduler" : "null", 15 "yarn.scheduler.capacity.default.minimum-user-limit-percent" : "100", 16 "yarn.scheduler.capacity.maximum-am-resource-percent" : "0.2", 17 "yarn.scheduler.capacity.maximum-applications" : "10000", 18 "yarn.scheduler.capacity.node-locality-delay" : "40", 19 "yarn.scheduler.capacity.resource-calculator" : "org.apache.hadoop.yarn.util.resource.DefaultResourceCalculator", 20 "yarn.scheduler.capacity.root.accessible-node-labels" : "*", 21 "yarn.scheduler.capacity.root.acl_administer_queue" : "*", 22 "yarn.scheduler.capacity.root.capacity" : "100", 23 "yarn.scheduler.capacity.root.default.acl_administer_jobs" : "*", 24 "yarn.scheduler.capacity.root.default.acl_submit_applications" : "*", 25 "yarn.scheduler.capacity.root.default.capacity" : "100", 26 "yarn.scheduler.capacity.root.default.maximum-capacity" : "100", 27 "yarn.scheduler.capacity.root.default.state" : "RUNNING", 28 "yarn.scheduler.capacity.root.default.user-limit-factor" : "1", 29 "yarn.scheduler.capacity.root.queues" : "default" 30 } 31 } 32 ] 33 }