1、环境说明 系统环境: 操作系统:centos6.6 Hadoop版本:CDH5.5 JDK版本:1.7.0_67 集群各节点Yarn的角色规划为: 172.16.57.74 bd-o
1、环境说明
系统环境:
- 操作系统:centos6.6
- Hadoop版本:CDH5.5
- JDK版本:1.7.0_67
集群各节点Yarn的角色规划为:
172.16.57.74 bd-ops-test-74 ResourceManager NodeManager172.16.57.75 bd-ops-test-75 ResourceManager NodeManager172.16.57.76 bd-ops-test-76 NodeManager JobHistoryServer yarn-proxyserver172.16.57.77 bd-ops-test-77 NodeManager
2、生成keytab
在 74 节点,即 KDC server 节点上执行下面命令:
cd /var/kerberos/krb5kdc/kadmin.local -q "addprinc -randkey yarn/[email protected] "kadmin.local -q "addprinc -randkey yarn/[email protected] "kadmin.local -q "addprinc -randkey yarn/[email protected] "kadmin.local -q "addprinc -randkey yarn/[email protected] "kadmin.local -q "addprinc -randkey mapred/[email protected] "kadmin.local -q "addprinc -randkey mapred/[email protected] "kadmin.local -q "addprinc -randkey mapred/[email protected] "kadmin.local -q "addprinc -randkey mapred/[email protected] "kadmin.local -q "xst -k yarn.keytab yarn/[email protected]"kadmin.local -q "xst -k yarn.keytab yarn/[email protected] "kadmin.local -q "xst -k yarn.keytab yarn/[email protected] "kadmin.local -q "xst -k yarn.keytab yarn/[email protected] "kadmin.local -q "xst -k mapred.keytab mapred/[email protected] "kadmin.local -q "xst -k mapred.keytab mapred/[email protected] "kadmin.local -q "xst -k mapred.keytab mapred/[email protected] "kadmin.local -q "xst -k mapred.keytab mapred/[email protected] "
拷贝 yarn.keytab 和 mapred.keytab 文件到其他节点的 /etc/hadoop/conf
目录
scp yarn.keytab mapred.keytab bd-ops-test-xx:/etc/hadoop/conf
并设置权限,在各节点上执行:
# cd /etc/hadoop/conf/;chown yarn:hadoop yarn.keytab;chown mapred:hadoop mapred.keytab ;chmod 400 *.keytab
由于 keytab 相当于有了永久凭证,不需要提供密码(如果修改 kdc 中的 principal 的密码,则该 keytab 就会失效),所以其他用户如果对该文件有读权限,就可以冒充 keytab 中指定的用户身份访问 hadoop,所以 keytab 文件需要确保只对 owner 有读权限(0400
)
3. 修改 YARN 配置文件
修改 yarn-site.xml,添加下面配置:
<property> <name>yarn.resourcemanager.keytab</name> <value>/etc/hadoop/conf/yarn.keytab</value></property><property> <name>yarn.resourcemanager.principal</name> <value>yarn/[email protected]</value></property><property> <name>yarn.nodemanager.keytab</name> <value>/etc/hadoop/conf/yarn.keytab</value></property><property> <name>yarn.nodemanager.principal</name> <value>yarn/[email protected]</value></property> <property> <name>yarn.nodemanager.container-executor.class</name> <value>org.apache.hadoop.yarn.server.nodemanager.LinuxContainerExecutor</value></property> <property> <name>yarn.nodemanager.linux-container-executor.group</name> <value>yarn</value></property><property> <name>yarn.web-proxy.keytab</name> <value>/etc/hadoop/conf/yarn.keytab</value></property><property> <name>yarn.web-proxy.principal</name> <value>yarn/[email protected]</value></property>
修改 mapred-site.xml,添加如下配置:
<property> <name>mapreduce.jobhistory.keytab</name> <value>/etc/hadoop/conf/mapred.keytab</value></property> <property> <name>mapreduce.jobhistory.principal</name> <value>mapred/[email protected]</value></property>
在 /etc/hadoop/conf
目录下创建 container-executor.cfg 文件,内容如下:
#configured value of yarn.nodemanager.linux-container-executor.groupyarn.nodemanager.linux-container-executor.group=yarn#comma separated list of users who can not run applicationsbanned.users=bin#Prevent other super-usersmin.user.id=0#comma separated list of system users who CAN run applicationsallowed.system.users=root,nobody,impala,hive,hdfs,yarn
设置该文件权限:
# chown root:yarn container-executor.cfg# chmod 400 container-executor.cfg# ll container-executor.cfg-r-------- 1 root yarn 354 11-05 14:14 container-executor.cfg
注意:
container-executor.cfg
文件读写权限需设置为400
,所有者为root:yarn
。yarn.nodemanager.linux-container-executor.group
要同时配置在 yarn-site.xml 和 container-executor.cfg,且其值需要为运行 NodeManager 的用户所在的组,这里为 yarn。banned.users
不能为空,默认值为hfds,yarn,mapred,bin
min.user.id
默认值为 1000,在有些 centos 系统中,用户最小 id 为500,则需要修改该值- 确保
yarn.nodemanager.local-dirs
和yarn.nodemanager.log-dirs
对应的目录权限为755
。
设置 /usr/lib/hadoop-yarn/bin/container-executor 读写权限为 6050
如下:
# chown root:yarn /usr/lib/hadoop-yarn/bin/container-executor# chmod 6050 /usr/lib/hadoop-yarn/bin/container-executor# ll /usr/lib/hadoop-yarn/bin/container-executor---Sr-s--- 1 root yarn 333 11-04 19:11 container-executor
测试是否配置正确:
# /usr/lib/hadoop-yarn/bin/container-executor --checksetup
如果提示错误,则查看 NodeManger 的日志,然后对照 YARN ONLY: Container-executor Error Codes 查看错误对应的问题说明。
关于 LinuxContainerExecutor 的详细说明,可以参考 http://hadoop.apache.org/docs/r2.5.0/hadoop-project-dist/hadoop-common/SecureMode.html#LinuxContainerExecutor。
记住将修改的上面文件同步到其他节点,并再次一一检查权限是否正确。
# cd /etc/hadoop/conf/# scp yarn-site.xml mapred-site.xml container-executor.cfg bd-ops-test-xx:/etc/hadoop/conf/# cd /etc/hadoop/conf/; chown root:yarn container-executor.cfg ; chmod 400 container-executor.cfg# cd /etc/hadoop/conf/; chown root:yarn container-executor.cfg ; chmod 400 container-executor.cfg
4、启动服务
启动 ResourceManager
resourcemanager 是通过 yarn 用户启动的,故在 74,75 上先获取 yarn 用户的 ticket 再启动服务:
$ kinit -k -t /etc/hadoop/conf/yarn.keytab yarn/[email protected]# service hadoop-yarn-resourcemanager start
然后查看日志,确认是否启动成功。
2016-09-05 13:40:11,190 INFO org.apache.hadoop.yarn.server.resourcemanager.RMAuditLogger: USER=yarn OPERATION=transitionToActive TARGET=RMHAProtocolService RESULT=SUCCESS
启动 NodeManager
resourcemanager 是通过 yarn 用户启动的,故在各节点上先获取 yarn 用户的 ticket 再启动服务:
kinit -k -t /etc/hadoop/conf/yarn.keytab yarn/[email protected] ;service hadoop-yarn-nodemanager start
观察日志成功信息:
2016-09-05 13:50:37,869 INFO org.apache.hadoop.security.UserGroupInformation: Login successful for user yarn/[email protected] using keytab file /etc/hadoop/conf/yarn.keytab
启动 MapReduce Job History Server
resourcemanager 是通过 mapred 用户启动的,故在 76节点 上先获取 mapred 用户的 ticket 再启动服务:
$ kinit -k -t /etc/hadoop/conf/mapred.keytab mapred/[email protected]# service hadoop-mapreduce-historyserver start
观察日志成功信息:
16/09/05 13:55:49 INFO security.UserGroupInformation: Login successful for user mapred/[email protected] using keytab file /etc/hadoop/conf/mapred.keytab
启动 yarn-proxyserver
# service hadoop-yarn-proxyserver start
观察日志成功信息:
2016-09-05 16:28:24,569 INFO org.apache.hadoop.security.UserGroupInformation: Login successful for user yarn/[email protected] using keytab file /etc/hadoop/conf/yarn.keytab
5. 测试
运行一个 mapreduce 的例子:
hadoop jar /usr/lib/hadoop-mapreduce/hadoop-mapreduce-examples.jar pi 10 10000
如果没有报错,则说明配置成功。最后运行的结果为:
Job Finished in 45.007 secondsEstimated value of Pi is 3.14120000000000000000