The Hadoop Ecosystem Table https://hadoopecosystemtable.github.io/ ... View more

Use case There are 2 groups Analytics and DW. We want to split the cluster resources between these 2 groups. User - neeraj belongs to Analytics group. User - dwuser belongs to DW group User neeraj is not allowed to use Default and dwuser queue. Be default, all the jobs submitted by user neeraj must go to it's assigned queue. User dwuser is not allowed to use Default and Analytics queue. By default, all the jobs submitted by user dwuser must go to it's assigned queue. Environment HDP 2.3 (Hortonworks Data Platform) and Ambari 2.1 This tutorial completely independent of Hadoop distribution. Yarn is must i,e Hadoop 2.x I will be using Capacity Scheduler view to configure queues. 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.queue-mappings=u:neeraj:Analytics,u:dwuser:DW yarn.scheduler.capacity.queue-mappings-override.enable=true yarn.scheduler.capacity.root.accessible-node-labels=* yarn.scheduler.capacity.root.acl_administer_queue=yarn yarn.scheduler.capacity.root.acl_submit_applications=yarn yarn.scheduler.capacity.root.Analytics.acl_administer_queue=yarn yarn.scheduler.capacity.root.Analytics.acl_submit_applications=neeraj yarn.scheduler.capacity.root.Analytics.capacity=60 yarn.scheduler.capacity.root.Analytics.maximum-capacity=60 yarn.scheduler.capacity.root.Analytics.minimum-user-limit-percent=100 yarn.scheduler.capacity.root.Analytics.ordering-policy=fifo yarn.scheduler.capacity.root.Analytics.state=RUNNING yarn.scheduler.capacity.root.Analytics.user-limit-factor=1 yarn.scheduler.capacity.root.capacity=100 yarn.scheduler.capacity.root.default.acl_administer_queue=yarn yarn.scheduler.capacity.root.default.acl_submit_applications=yarn yarn.scheduler.capacity.root.default.capacity=10 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.DW.acl_administer_queue=yarn yarn.scheduler.capacity.root.DW.acl_submit_applications=dwuser yarn.scheduler.capacity.root.DW.capacity=30 yarn.scheduler.capacity.root.DW.maximum-capacity=30 yarn.scheduler.capacity.root.DW.minimum-user-limit-percent=100 yarn.scheduler.capacity.root.DW.ordering-policy=fifo yarn.scheduler.capacity.root.DW.state=RUNNING yarn.scheduler.capacity.root.DW.user-limit-factor=1 yarn.scheduler.capacity.root.maximum-capacity=100 yarn.scheduler.capacity.root.queues=Analytics,DW,default [root@nsfed01 ~]# su - neeraj [neeraj@nsfed01 ~]$ mapred queue -showacls 15/08/18 14:45:03 INFO impl.TimelineClientImpl: Timeline service address: http://nsfed03.cloud.hortonworks.com:8188/ws/v1/timeline/ 15/08/18 14:45:03 INFO client.RMProxy: Connecting to ResourceManager at nsfed03.cloud.hortonworks.com/172.24.64.22:8050 Queue acls for user : neeraj Queue Operations ===================== root Analytics SUBMIT_APPLICATIONS DW default [neeraj@nsfed01 ~]$ [root@nsfed01 ~]# su - neeraj [neeraj@nsfed01 ~]$ yarn jar /usr/hdp/2.3.0.0-2557/hadoop-mapreduce/hadoop-mapreduce-examples.jar pi 20 1000000009 Number of Maps = 20 Samples [root@nsfed03 yarn]# su - dwuser [dwuser@nsfed03 ~]$ yarn jar /usr/hdp/2.3.0.0-2557/hadoop-mapreduce/hadoop-mapreduce-examples.jar pi 20 1000000009 Number of Maps = 20 CS view ... View more

yum install expect* #!/usr/bin/expect spawn ambari-server sync-ldap --existing expect "Enter Ambari Admin login:" send "admin\r" expect "Enter Ambari Admin password:" send "admin\r" expect eof ... View more