hadoop和hbase的安全认证Kerberos部署

（接上一篇）

五、Kerberos

1、jsvc

所有节点：

# cd ~/soft

# wget http://mirror.bit.edu.cn/apache/commons/daemon/source/commons-daemon-1.0.15-native-src.tar.gz

# tar zxfcommons-daemon-1.0.15-native-src.tar.gz

# cd commons-daemon-1.0.15-native-src/unix;./configure; make

# cp jsvc /usr/local/hadoop-2.4.0/libexec/

# cd ~/soft

# wgethttp://mirror.bit.edu.cn/apache//commons/daemon/binaries/commons-daemon-1.0.15-bin.tar.gz

# tar zxf commons-daemon-1.0.15-bin.tar.gz

# cpcommons-daemon-1.0.15/commons-daemon-1.0.15.jar/usr/local/hadoop-2.4.0/share/hadoop/hdfs/lib/

# cpcommons-daemon-1.0.15/commons-daemon-1.0.15.jar/usr/local/hadoop-2.4.0/share/hadoop/httpfs/tomcat/webapps/webhdfs/WEB-INF/lib/

# rm -f /usr/local/hadoop-2.4.0/share/hadoop/hdfs/lib/commons-daemon-1.0.13.jar

# rm -f/usr/local/hadoop-2.4.0/share/hadoop/httpfs/tomcat/webapps/webhdfs/WEB-INF/lib/commons-daemon-1.0.13.jar

# # vim/usr/local/hadoop-2.4.0/etc/hadoop/hadoop-env.sh

                   exportJSVC_HOME=/usr/local/hadoop-2.4.0/libexec/

2、256位加密

所有节点：

# wget–c http://download.oracle.com/otn-pub/java/jce/7/UnlimitedJCEPolicyJDK7.zip?AuthParam=1400207941_ee158c414c707a057960c521a7b29866

# unzipUnlimitedJCEPolicyJDK7.zip

# cp UnlimitedJCEPolicy/*.jar/usr/java/jdk1.7.0_65/jre/lib/security/

cp：是否覆盖"/usr/java/jdk1.7.0_51/jre/lib/security/local_policy.jar"？ y

cp：是否覆盖"/usr/java/jdk1.7.0_51/jre/lib/security/US_export_policy.jar"？ y

3、部署KDC

主机test3：

安装kdc server

# yum -y install krb5\*

配置文件krb5.conf

[logging]

 default = FILE:/var/log/krb5libs.log

 kdc= FILE:/var/log/krb5kdc.log

 admin_server = FILE:/var/log/kadmind.log

[libdefaults]

 default_realm = cc.cn

 dns_lookup_realm = false

 dns_lookup_kdc = false

 ticket_lifetime = 365d

 renew_lifetime = 365d

 forwardable = true

[realms]

 cc.cn = {

  kdc = test3

 admin_server = test3

 }

[kdc]

 profile = /var/kerberos/krb5kdc/kdc.conf

配置文件kdc.conf

# vim /var/kerberos/krb5kdc/kdc.conf

[kdcdefaults]

 kdc_ports = 88

 kdc_tcp_ports = 88

[realms]

 cc.cn = {

 #master_key_type = aes256-cts

 acl_file = /var/kerberos/krb5kdc/kadm5.acl

 dict_file = /usr/share/dict/words

 admin_keytab = /var/kerberos/krb5kdc/kadm5.keytab

 supported_enctypes = aes256-cts:normal aes128-cts:normaldes3-hmac-sha1:normal arcfour-hmac:normal des-hmac-sha1:normaldes-cbc-md5:normal des-cbc-crc:normal

 }

配置文件kadm5.acl

# vim /var/kerberos/krb5kdc/kadm5.acl

*/admin@cc.cn *

创建数据库

# kdb5_util create -r cc.cn –s

Enter KDC database master key:

启动及开机启动

# service krb5kdc start

# service kadmin start

# chkconfig krb5kdc on

# chkconfig kadmin on

创建管理员用户

# kadmin.local

kadmin.local:  addprinc root/admin

Enter password for principal "root/admin@cc.cn":

六、Hadoop整合Kerberos

1、配置节点认证

主机test1：

# yum -y install krb5\*

# scp test3:/etc/krb5.conf /etc/

# kadmin –p root/admin

kadmin: addprinc -randkey root/test1

kadmin: addprinc -randkey HTTP/test1

kadmin: ktadd -k /hadoop/krb5.keytab root/test1 HTTP/test1

主机test2：

# yum -y install krb5\*

# scp test3:/etc/krb5.conf /etc/

# kadmin -p root/admin

kadmin: addprinc -randkey root/test2

kadmin: addprinc -randkey HTTP/test2

kadmin: ktadd -k /hadoop/krb5.keytab root/test2 HTTP/test2

主机test3：

# kadmin.local

kadmin.local:   addprinc -randkey root/test3

kadmin.lcoal:   addprinc -randkey HTTP/test3

kadmin.local:   ktadd -k /hadoop/krb5.keytab root/test3 HTTP/test3

2、添加配置

配置文件core-site.xml

主机test1：

# vim/usr/local/hadoop-2.4.0/etc/hadoop/core-site.xml

<property>

       <name>hadoop.security.authentication</name>

       <value>kerberos</value>

</property>

<property>

       <name>hadoop.security.authorization</name>

       <value>true</value>

</property>

配置文件hdfs-site.xm

主机test1：

# vim /usr/local/hadoop-2.4.0/etc/hadoop/hdfs-site.xml

<property>

       <name>dfs.journalnode.keytab.file</name>

       <value>/hadoop/krb5.keytab</value>

</property>

<property>

       <name>dfs.journalnode.kerberos.principal</name>

       <value>root/_HOST@cc.cn</value>

</property>

<property>

       <name>dfs.journalnode.kerberos.internal.spnego.principal</name>

       <value>HTTP/_HOST@cc.cn</value>

</property>

<property>

       <name>dfs.block.access.token.enable</name>

       <value>true</value>

</property>

<property>

       <name>dfs.namenode.keytab.file</name>

       <value>/hadoop/krb5.keytab</value>

</property>

<property>

       <name>dfs.namenode.kerberos.principal</name>

       <value>root/_HOST@cc.cn</value>

</property>

<property>

       <name>dfs.web.authentication.kerberos.keytab</name>

       <value>/hadoop/krb5.keytab</value>

</property>

<property>

       <name>dfs.web.authentication.kerberos.principal</name>

       <value>HTTP/_HOST@cc.cn</value>

</property>

<property>

       <name>ignore.secure.ports.for.testing</name>

       <value>true</value>

</property>

<property>

       <name>dfs.datanode.keytab.file</name>

       <value>/hadoop/krb5.keytab</value>

</property>

<property>

       <name>dfs.datanode.kerberos.principal</name>

       <value>root/_HOST@cc.cn</value>

</property>

<property>

       <name>hadoop.http.staticuser.user</name>

       <value>root</value>

</property>

配置文件yarn-site.xml

主机test1：

# vim/usr/local/hadoop-2.4.0/etc/hadoop/yarn-site.xml

<property>

       <name>yarn.resourcemanager.keytab</name>

       <value>/hadoop/krb5.keytab</value>

</property>

<property>

       <name>yarn.resourcemanager.principal</name>

       <value>root/_HOST@cc.cn</value>

</property>

<property>

       <name>yarn.nodemanager.keytab</name>

       <value>/hadoop/krb5.keytab</value>

</property>

<property>

       <name>yarn.nodemanager.principal</name>

       <value>root/_HOST@cc.cn</value>

</property>

配置文件mapred-site.xml

主机test1：

# vim /usr/local/hadoop-2.4.0/etc/hadoop/mapred-site.xml

<property>

       <name>mapreduce.jobhistory.keytab</name>

       <value>/hadoop/krb5.keytab</value>

</property>

<property>

       <name>mapreduce.jobhistory.principal</name>

       <value>root/_HOST@cc.cn</value>

</property>

3、同步配置文件

主机test1：

# scp -r/usr/local/hadoop-2.4.0/ test2:/usr/local/

# scp -r/usr/local/hadoop-2.4.0/ test3:/usr/local/

4、启动

主机test1：

# start-all.sh

5、验证

主机test3：

# kinit -k -t /hadoop/krb5.keytab root/test3

# hdfs dfs –ls /

七、Hbase整合Kerberos

1、添加配置

配置文件hbase-site.xml

主机test1：

# vim/usr/local/hbase-0.98.1/conf/hbase-site.xml

<property>

       <name>hbase.security.authentication</name>

       <value>kerberos</value>

</property>

<property>

       <name>hbase.security.authorization</name>

        <value>true</value>

</property>

<property>

       <name>hbase.rpc.engine</name>

       <value>org.apache.hadoop.hbase.ipc.SecureRpcEngine</value>

</property>

<property>

       <name>hbase.coprocessor.region.classes</name>

       <value>org.apache.hadoop.hbase.security.token.TokenProvider</value>

</property>

<property>

       <name>hbase.master.keytab.file</name>

       <value>/hadoop/krb5.keytab</value>

</property>

<property>

       <name>hbase.master.kerberos.principal</name>

       <value>root/_HOST@cc.cn</value>

</property>

<property>

       <name>hbase.regionserver.keytab.file</name>

       <value>/hadoop/krb5.keytab</value>

</property>

<property>

       <name>hbase.regionserver.kerberos.principal</name>

       <value>root/_HOST@cc.cn</value>

</property>

2、同步配置文件

主机test1：

# scp/usr/local/hbase-0.98.1/conf/hbase-site.xml test2:/usr/local/hbase-0.98.1/conf/

# scp /usr/local/hbase-0.98.1/conf/hbase-site.xmltest3:/usr/local/hbase-0.98.1/conf/

3、启动

主机test1：

# start-hbase.sh

4、验证

主机test3：

# kinit -k -t /hadoop/krb5.keytab root/test3

# hbase shell

八、集群连接方式

1、keytab文件位置

/etc/xiaofeiyun.keytab

创建过程

主机test1：

# kadmin -p root/admin

Password for root/admin@cc.cn:

kadmin: addprinc -randkey data/xiaofeiyun

kadmin: addprinc -randkey platform/xiaofeiyun

kadmin: ktadd -k /etc/xiaofeiyun.keytab data/xiaofeiyun platform/xiaofeiyun

# scp /etc/xiaofeiyun.keytab test2:/etc/

# scp /etc/xiaofeiyun.keytab test3:/etc/

2、krb5.conf文件位置

/etc/krb5.conf

3、hadoop连接

conf.set("fs.defaultFS","hdfs://cluster1");

conf.set("dfs.nameservices","cluster1");

conf.set("dfs.ha.namenodes.cluster1","test1,test2");

conf.set("dfs.namenode.rpc-address.cluster1.test1","test1:9000");

conf.set("dfs.namenode.rpc-address.cluster1.test2","test2:9000");

conf.set("dfs.client.failover.proxy.provider.cluster1","org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider");

4、hbase连接

<name>ha.zookeeper.quorum</name>

<value>test1:2181,test2:2181,test3:2181</value>