hadoop mapred-queue-acls 配置

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>
<description>Commaseparatedlistofqueuesconfiguredforthisjobtracker.
Jobsareaddedtoqueuesandschedulerscanconfiguredifferent
schedulingpropertiesforthevariousqueues.Toconfigureaproperty
foraqueue,thenameofthequeuemustmatchthenamespecifiedinthis
value.Queuepropertiesthatarecommontoallschedulersareconfigured
herewiththenamingconvention,mapred.queue.$QUEUE-NAME.$PROPERTY-NAME,
fore.g.mapred.queue.default.submit-job-acl.
Thenumberofqueuesconfiguredinthisparametercoulddependonthe
typeofschedulerbeingused,asspecifiedin
mapred.jobtracker.taskScheduler.Forexample,theJobQueueTaskScheduler
supportsonlyasinglequeue,whichisthedefaultconfiguredhere.
Beforeaddingmorequeues,ensurethatthescheduleryou'veconfigured
supportsmultiplequeues.
</description>
</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>Commaseparatedlistofuserandgroupnamesthatareallowed
tosubmitjobstothe'default'queue.Theuserlistandthegrouplist
areseparatedbyablank.Fore.g.user1,user2group1,group2.
Ifsettothespecialvalue'*',itmeansallusersareallowedto
submitjobs.Ifsetto''(i.e.space),nouserwillbeallowedtosubmit
jobs.

ItisonlyusedifauthorizationisenabledinMap/Reducebysettingthe
 configurationpropertymapred.acls.enabledtotrue.
IrrespectiveofthisACLconfiguration,theuserwhostartedtheclusterand
clusteradministratorsconfiguredvia
mapreduce.cluster.administratorscansubmitjobs.
</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>
<description>SpecifieswhetherACLsshouldbechecked
forauthorizationofusersfordoingvariousqueueandjobleveloperations.
ACLsaredisabledbydefault.Ifenabled,accesscontrolchecksaremadeby
JobTrackerandTaskTrackerwhenrequestsaremadebyusersforqueue
operationslikesubmitjobtoaqueueandkillajobinthequeueandjob
operationslikeviewingthejob-details(Seemapreduce.job.acl-view-job)
orformodifyingthejob(Seemapreduce.job.acl-modify-job)using
Map/ReduceAPIs,RPCsorviatheconsoleandwebuserinterfaces.
</description>
</property>

重启hadoop, 使配置生效, 接下来拿hive进行测试:
先使用queue2队列:

setmapred.job.queue.name=queue2;
hive>
>selectcount(*)fromt_aa_pc_log;
TotalMapReducejobs=1
LaunchingJob1outof1
Numberofreducetasksdeterminedatcompiletime:1
Inordertochangetheaverageloadforareducer(inbytes):
sethive.exec.reducers.bytes.per.reducer=<number>
Inordertolimitthemaximumnumberofreducers:
sethive.exec.reducers.max=<number>
Inordertosetaconstantnumberofreducers:
setmapred.reduce.tasks=<number>
StartingJob=job_201205211843_0002,TrackingURL=http://192.168.189.128:50030/jobdetails.jsp?jobid=job_201205211843_0002
KillCommand=/opt/app/hadoop-0.20.2-cdh3u3/bin/hadoopjob-Dmapred.job.tracker=192.168.189.128:9020-killjob_201205211843_0002
2012-05-2118:45:01,593Stage-1map=0%,reduce=0%
2012-05-2118:45:04,613Stage-1map=100%,reduce=0%
2012-05-2118:45:12,695Stage-1map=100%,reduce=100%
EndedJob=job_201205211843_0002
OK
136003
Timetaken:14.674seconds
hive>

作业成功完成

再来向queue1队列提交作业:

>setmapred.job.queue.name=queue1;
hive>selectcount(*)fromt_aa_pc_log;
TotalMapReducejobs=1
LaunchingJob1outof1
Numberofreducetasksdeterminedatcompiletime:1
Inordertochangetheaverageloadforareducer(inbytes):
sethive.exec.reducers.bytes.per.reducer=<number>
Inordertolimitthemaximumnumberofreducers:
sethive.exec.reducers.max=<number>
Inordertosetaconstantnumberofreducers:
setmapred.reduce.tasks=<number>
org.apache.hadoop.ipc.RemoteException:org.apache.hadoop.security.AccessControlException:Userp_sdo_data_01cannotperformoperationSUBMIT_JOBonqueuequeue1.
Pleaserun"hadoopqueue-showacls"commandtofindthequeuesyouhaveaccessto.
atorg.apache.hadoop.mapred.ACLsManager.checkAccess(ACLsManager.java:179)
atorg.apache.hadoop.mapred.ACLsManager.checkAccess(ACLsManager.java:136)
atorg.apache.hadoop.mapred.ACLsManager.checkAccess(ACLsManager.java:113)
atorg.apache.hadoop.mapred.JobTracker.submitJob(JobTracker.java:3781)
atsun.reflect.NativeMethodAccessorImpl.invoke0(NativeMethod)
atsun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39)
atsun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25)
atjava.lang.reflect.Method.invoke(Method.java:597)
atorg.apache.hadoop.ipc.RPC$Server.call(RPC.java:557)
atorg.apache.hadoop.ipc.Server$Handler$1.run(Server.java:1434)
atorg.apache.hadoop.ipc.Server$Handler$1.run(Server.java:1430)
atjava.security.AccessController.doPrivileged(NativeMethod)
atjavax.security.auth.Subject.doAs(Subject.java:396)
atorg.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1157)
atorg.apache.hadoop.ipc.Server$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@localhostconf]$hadoopqueue-showacls
Queueaclsforuser:hadoop

QueueOperations
=====================
 queue1administer-jobs
queue2submit-job,administer-jobs
queue3submit-job,administer-jobs
queue4submit-job,administer-jobs