hadoop作业提交时可以指定相应的队列，例如:-Dmapred.job.queue.name=queue2
通过对mapred-queue-acls.xml和mapred-site.xml配置可以对不同的队列实现不同用户的提交权限.
先编辑mapred-site.xml，修改配置如下(增加四个队列):
<property> <name>mapred.queue.names</name> <value>default,queue1,queue2,queue3,queue4</value> </property>
修改生效后通过jobtrack界面可以看到配置的队列信息。
要对队列进行控制， 还需要编辑mapred-queue-acls.xml文件
<property> <name>mapred.queue.queue1.acl-submit-job</name> <value>' '</value> <description> Comma separated list of user and group names that are allowed to submit jobs to the 'default' queue. The user list and the group list are separated by a blank. For e.g. user1,user2 group1,group2. If set to the special value '*', it means all users are allowed to submit jobs. If set to ' '(i.e. space), no user will be allowed to submit jobs. It is only used if authorization is enabled in Map/Reduce by setting the configuration property mapred.acls.enabled to true. Irrespective of this ACL configuration, the user who started the cluster and cluster administrators configured via mapreduce.cluster.administrators can submit jobs. </description> </property>
要配置多个队列， 只需要重复添加上面配置信息，修改队列名称和value值，为方便测试，queue1禁止所有用户向其提交作业.
要使该配置生效， 还需要修改mapred-site.xml,将mapred.acls.enabled值设置为true
<property> <name>mapred.acls.enabled</name> <value>true</value> </property>
重启hadoop, 使配置生效, 接下来拿hive进行测试:
先使用queue2队列:
set mapred.job.queue.name=queue2; hive> > select count(*) from t_aa_pc_log; Total MapReduce jobs = 1 Launching Job 1 out of 1 Number of reduce tasks determined at compile time: 1 In order to change the average load for a reducer (in bytes): set hive.exec.reducers.bytes.per.reducer=<number> In order to limit the maximum number of reducers: set hive.exec.reducers.max=<number> In order to set a constant number of reducers: set mapred.reduce.tasks=<number> Starting Job = job_201205211843_0002, Tracking URL = http://192.168.189.128:50030/jobdetails.jsp?jobid=job_201205211843_0002 Kill Command = /opt/app/hadoop-0.20.2-cdh3u3/bin/hadoop job -Dmapred.job.tracker=192.168.189.128:9020 -kill job_201205211843_0002 2012-05-21 18:45:01,593 Stage-1 map = 0%, reduce = 0% 2012-05-21 18:45:04,613 Stage-1 map = 100%, reduce = 0% 2012-05-21 18:45:12,695 Stage-1 map = 100%, reduce = 100% Ended Job = job_201205211843_0002 OK 136003 Time taken: 14.674 seconds hive>
作业成功完成
再来向queue1队列提交作业:
> set mapred.job.queue.name=queue1; hive> select count(*) from t_aa_pc_log; Total MapReduce jobs = 1 Launching Job 1 out of 1 Number of reduce tasks determined at compile time: 1 In order to change the average load for a reducer (in bytes): set hive.exec.reducers.bytes.per.reducer=<number> In order to limit the maximum number of reducers: set hive.exec.reducers.max=<number> In order to set a constant number of reducers: set mapred.reduce.tasks=<number> org.apache.hadoop.ipc.RemoteException: org.apache.hadoop.security.AccessControlException: User p_sdo_data_01 cannot perform operation SUBMIT_JOB on queue queue1. Please run "hadoop queue -showacls" command to find the queues you have access to . at org.apache.hadoop.mapred.ACLsManager.checkAccess(ACLsManager.java:179) at org.apache.hadoop.mapred.ACLsManager.checkAccess(ACLsManager.java:136) at org.apache.hadoop.mapred.ACLsManager.checkAccess(ACLsManager.java:113) at org.apache.hadoop.mapred.JobTracker.submitJob(JobTracker.java:3781) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25) at java.lang.reflect.Method.invoke(Method.java:597) at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:557) at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:1434) at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:1430) at java.security.AccessController.doPrivileged(Native Method) at javax.security.auth.Subject.doAs(Subject.java:396) at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1157) at org.apache.hadoop.ipc.Server$Handler.run(Server.java:1428)
作业提交失败!
最后， 可以使用 hadoop queue -showacls 命令查看队列信息:
[hadoop@localhost conf]$ hadoop queue -showacls Queue acls for user : hadoop Queue Operations ===================== queue1 administer-jobs queue2 submit-job,administer-jobs queue3 submit-job,administer-jobs queue4 submit-job,administer-jobs
