大数据安全系列的其它文章
https://www.cnblogs.com/bainianminguo/p/12548076.html-----------安装kerberos
https://www.cnblogs.com/bainianminguo/p/12548334.html-----------hadoop的kerberos认证
https://www.cnblogs.com/bainianminguo/p/12548175.html-----------zookeeper的kerberos认证
https://www.cnblogs.com/bainianminguo/p/12584732.html-----------hive的kerberos认证
https://www.cnblogs.com/bainianminguo/p/12584880.html-----------es的search-guard认证
https://www.cnblogs.com/bainianminguo/p/12639821.html-----------flink的kerberos认证
https://www.cnblogs.com/bainianminguo/p/12639887.html-----------spark的kerberos认证
一、安装hadoop
1、解压安装包重命名安装目录
[root@cluster2_host1 data]# tar -zxvf hadoop-2.7.1.tar.gz -C /usr/local/ [root@cluster2_host1 local]# mv hadoop-2.7.1/ hadoop
2、设置hadoop的环境变量
[root@cluster2_host1 bin]# vim /etc/profile
export HADOOP_HOME=/usr/local/hadoop export PATH=$PATH:/usr/local/hadoop/bin
3、添加hdfs用户并修改hdfs的属组
65 groupadd hdfs 66 useradd hdfs -g hdfs 67 cat /etc/passwd 68 chown -R hdfs:hdfs /usr/local/hadoop/ 69 chown -R hdfs:hdfs /usr/local/hadoop/
4、修改hdfs配置文件
vim core-site.xml
<configuration>
<property>
<name>fs.default.name</name>
<value>hdfs://cluster2_host1:9000</value>
</property>
<property>
<name>hadoop.tmp.dir</name>
<value>/data/vdb1/tmp</value>
</property>
</configuration>
vim mapred-site.xml
<configuration>
<property>
<name>mapreduce.framework.name</name>
<value>yarn</value>
</property>
<property>
<name>mapreduce.jobhistory.address</name>
<value>cluster2_host1:10020</value>
</property>
<property>
<name>mapreduce.jobhistory.webapp.address</name>
<value>cluster2_host1:19888</value>
</property>
</configuration>
vim hdfs-site.xml
<configuration>
<property>
<name>dfs.replication</name>
<value>2</value>
</property>
<property>
<name>dfs.namenode.name.dir</name>
<value>file:/data/vdb1/name</value>
</property>
<property>
<name>dfs.datanode.data.dir</name>
<value>file:/data/vdb1/data</value>
</property>
<property>
<name>dfs.secondary.http.address</name>
<value>cluster2_host2:50090</value>
</property>
</configuration>
vim yarn-site.xml
<configuration>
<!-- Site specific YARN configuration properties -->
<property>
<name>yarn.nodemanager.aux-services</name>
<value>mapreduce_shuffle</value>
</property>
<property>
<name>yarn.nodemanager.aux-services.mapreduce.shuffle.class</name>
<value>org.apache.hadoop.mapred.ShuffleHandler</value>
</property>
<property>
<name>yarn.resourcemanager.address</name>
<value>cluster2_host1:8032</value>
</property>
<property>
<name>yarn.resourcemanager.scheduler.address</name>
<value>cluster2_host1:8030</value>
</property>
<property>
<name>yarn.resourcemanager.resource-tracker.address</name>
<value>cluster2_host1:8031</value>
</property>
<property>
<name>yarn.resourcemanager.admin.address</name>
<value>cluster2_host1:8033</value>
</property>
<property>
<name>yarn.resourcemanager.webapp.address</name>
<value>cluster2_host1:8088</value>
</property>
</configuration>
修改slaves文件
[root@cluster2_host1 hadoop]# cat slaves cluster2_host1 cluster2_host3 cluster2_host2
5、创建目录和修改属组
[root@cluster2_host3 bin]# groupadd hdfs [root@cluster2_host3 bin]# useradd hdfs -g hdfs [root@cluster2_host3 bin]# mkdir /data/vdb1/tmp [root@cluster2_host3 bin]# mkdir /data/vdb1/data [root@cluster2_host3 bin]# mkdir /data/vdb1/name [root@cluster2_host3 bin]# chown -R hdfs:hdfs /data/vdb1/tmp/ [root@cluster2_host3 bin]# chown -R hdfs:hdfs /data/vdb1/data [root@cluster2_host3 bin]# chown -R hdfs:hdfs /data/vdb1/name [root@cluster2_host3 bin]# chown -R hdfs:hdfs /usr/local/hadoop/
6、拷贝安装目录到其他节点
171 scp -r hadoop/ root@cluster2_host2:/usr/local/ 172 scp -r hadoop/ root@cluster2_host3:/usr/local/
7、格式化hdfs
[root@cluster2_host1 local]# hdfs namenode -format
8、启动yarn
[root@cluster2-host1 sbin]# ./start-yarn.sh
9、启动hdfs
[root@cluster2-host1 sbin]# ./start-dfs.sh
10、检查进程
[root@cluster2-host1 data]# jps 10004 DataNode 29432 ResourceManager 8942 Jps 9263 NameNode 30095 NodeManager
二、hdfs配置kerberos认证
1、所有节点安装autoconf
yum install autoconf -y
2、所有节点安装gcc
yum install gcc -y
3、安装jsvc
542 tar -zxvf commons-daemon-1.2.2-src.tar.gz 543 /data/commons-daemon-1.2.2-src/src/native/unix 554 ./support/buildconf.sh 555 ./configure 556 make
检查是否安装完成
[root@cluster2-host1 unix]# ./jsvc -help
Usage: jsvc [-options] class [args...]
Where options include:
-help | --help | -?
show this help page (implies -nodetach)
-jvm <JVM name>
use a specific Java Virtual Machine. Available
ln -s /data/commons-daemon-1.2.2-src/src/native/unix/jsvc /usr/local/bin/jsvc
4、修改hdfs-env.sh的配置文件
vim /usr/local/hadoop/etc/hadoop/hadoop-env.sh export JSVC_HOME=/data/commons-daemon-1.2.2-src/src/native/unix export HADOOP_SECURE_DN_USER=hdfs
分发到其他节点
5、创建hdfs的principal
kadmin.local: addprinc hdfs/cluster2-host1 kadmin.local: addprinc hdfs/cluster2-host2 kadmin.local: addprinc hdfs/cluster2-host3 kadmin.local: addprinc http/cluster2-host1 kadmin.local: addprinc http/cluster2-host2 kadmin.local: addprinc http/cluster2-host3 kadmin.local: ktadd -norandkey -k /etc/security/keytab/hdfs.keytab hdfs/cluster2-host1 kadmin.local: ktadd -norandkey -k /etc/security/keytab/hdfs.keytab hdfs/cluster2-host2 kadmin.local: ktadd -norandkey -k /etc/security/keytab/hdfs.keytab hdfs/cluster2-host3 kadmin.local: ktadd -norandkey -k /etc/security/keytab/http.keytab http/cluster2-host1 kadmin.local: ktadd -norandkey -k /etc/security/keytab/http.keytab http/cluster2-host2 kadmin.local: ktadd -norandkey -k /etc/security/keytab/http.keytab http/cluster2-host3
6、分发秘钥文件
[root@cluster2-host1 etc]# scp hdfs.keytab http.keytab root@cluster2-host2:/usr/local/hadoop/etc/ hdfs.keytab 100% 1559 1.5KB/s 00:00 http.keytab 100% 1559 1.5KB/s 00:00 [root@cluster2-host1 etc]# scp hdfs.keytab http.keytab root@cluster2-host3:/usr/local/hadoop/etc/ hdfs.keytab 100% 1559 1.5KB/s 00:00 http.keytab
7、修改hdfs的配置文件
修改core-site.xml文件
<property>
<name>hadoop.security.authentication</name>
<value>kerberos</value>
</property>
<property>
<name>hadoop.security.authorization</name>
<value>true</value>
</property>
修改修改hdfs-site.xml
<property>
<name>dfs.block.access.token.enable</name>
<value>true</value>
</property>
<property>
<name>dfs.namenode.kerberos.principal</name>
<value>hdfs/cluster2-host1@HADOOP.COM</value>
</property>
<property>
<name>dfs.namenode.keytab.file</name>
<value>/usr/local/hadoop/etc/hdfs.keytab</value>
</property>
<property>
<name>dfs.namenode.kerberos.internal.spnego.principal</name>
<value>http/hadoop@HADOOP.COM</value>
</property>
<property>
<name>dfs.namenode.kerberos.internal.spnego.keytab</name>
<value>http/cluster2-host1@HADOOP.COM</value>
</property>
<property>
<name>dfs.web.authentication.kerberos.principal</name>
<value>hdfs/cluster2-host1@HADOOP.COM</value>
</property>
<property>
<name>dfs.web.authentication.kerberos.keytab</name>
<value>/usr/local/hadoop/etc/hdfs.keytab</value>
</property>
<property>
<name>dfs.datanode.kerberos.principal</name>
<value>hdfs/cluster2-host1@HADOOP.COM</value>
</property>
<property>
<name>dfs.datanode.keytab.file</name>
<value>/usr/local/hadoop/etc/hdfs.keytab</value>
</property>
<property>
<name>dfs.datanode.address</name>
<value>0.0.0.0:1004</value>
</property>
<property>
<name>dfs.datanode.http.address</name>
<value>0.0.0.0:1006</value>
</property>
如果有secondnamenode，则还需要加下面的配置
<property> <name>dfs.secondary.namenode.keytab.file</name> <value>/usr/local/hadoop/etc/hdfs.keytab</value> </property> <property> <name>dfs.secondary.namenode.kerberos.principal</name> <value>hdfs/cluster2-host1@HADOOP.COM</value> </property>
修改yarn-site.xml
<property>
<name>yarn.resourcemanager.principal</name>
<value>hdfs/cluster2-host1@HADOOP.COM</value>
</property>
<property>
<name>yarn.resourcemanager.keytab</name>
<value>/usr/local/hadoop/etc/hdfs.keytab</value>
</property>
<property>
<name>yarn.nodemanager.keytab</name>
<value>/usr/local/hadoop/etc/hdfs.keytab</value>
</property>
<property>
<name>yarn.nodemanager.principal</name>
<value>hdfs/cluster2-host1@HADOOP.COM</value>
</property>
分发配置文件到其他节点
[root@cluster2-host1 hadoop]# scp core-site.xml hdfs-site.xml yarn-site.xml root@cluster2-host2:/usr/local/hadoop/etc/hadoop/ core-site.xml 100% 1241 1.2KB/s 00:00 hdfs-site.xml 100% 2544 2.5KB/s 00:00 yarn-site.xml 100% 2383 2.3KB/s 00:00 [root@cluster2-host1 hadoop]# scp core-site.xml hdfs-site.xml yarn-site.xml root@cluster2-host3:/usr/local/hadoop/etc/hadoop/ core-site.xml 100% 1241 1.2KB/s 00:00 hdfs-site.xml 100% 2544 2.5KB/s 00:00 yarn-site.xml
8、启动hdfs
Hdfs用户执行下面的脚本
start-dfs.sh
[root@cluster2-host1 sbin]# [root@cluster2-host1 sbin]# jps 32595 Secur 30061 Jps 28174 NameNode
Root用户执行下面的脚本
./start-secure-dns.sh
检查进程，这里需要注意，jps是看不到datenode的进程的
[root@cluster2-host1 sbin]# ps auxf |grep datanode
9、验证
[root@cluster2-host1 hadoop]# hdfs dfs -ls / 20/03/03 08:06:40 WARN ipc.Client: Exception encountered while connecting to the server : javax.security.sasl.SaslException: GSS initiate failed [Caused by GSSException: No valid credentials provided (Mechanism level: Failed to find any Kerberos tgt)] ls: Failed on local exception: java.io.IOException: javax.security.sasl.SaslException: GSS initiate failed [Caused by GSSException: No valid credentials provided (Mechanism level: Failed to find any Kerberos tgt)]; Host Details : local host is: "cluster2-host1/10.87.18.34"; destination host is: "cluster2-host1":9000; [root@cluster2-host1 hadoop]# kinit -kt /etc/security/keytab/hdfs.keytab hdfs/cluster2-host1 [root@cluster2-host1 hadoop]# hdfs dfs -ls / Found 4 items drwxr-xr-x - root supergroup 0 2020-03-02 06:25 /flink drwxr-xr-x - root supergroup 0 2020-03-02 04:30 /spark_jars drwx-wx-wx - root supergroup 0 2020-03-02 21:12 /tmp drwxr-xr-x - root supergroup 0 2020-03-02 21:11 /user
三、配置yarn的kerberos认证
1、配置yarn-site.xml配置文件
<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>hdfs</value>
</property>
<property>
<name>yarn.nodemanager.linux-container-executor.path</name>
<value>/bin/container-executor</value>
</property>
yarn.nodemanager.linux-container-executor.path指定了container-executor的路径，container-executor是可执行二进制文件，它需要一个配置文件：
yarn.nodemanager.linux-container-executor.group是nodemanager的启动用户所属组
2、确认container-executor路径
[root@cluster2-host1 bin]# strings container-executor |grep etc ../etc/hadoop/container-executor.cfg [root@cluster2-host1 bin]# cd /usr/local/hadoop/bin/ [root@cluster2-host1 bin]# ll total 448 -rwxr-xr-x. 1 hdfs hdfs 160127 Jun 29 2015 container-executor -rwxr-xr-x. 1 hdfs hdfs 6488 Jun 29 2015 hadoop -rwxr-xr-x. 1 hdfs hdfs 8786 Jun 29 2015 hadoop.cmd -rwxr-xr-x. 1 hdfs hdfs 12223 Jun 29 2015 hdfs -rwxr-xr-x. 1 hdfs hdfs 7327 Jun 29 2015 hdfs.cmd -rwxr-xr-x. 1 hdfs hdfs 5953 Jun 29 2015 mapred -rwxr-xr-x. 1 hdfs hdfs 6310 Jun 29 2015 mapred.cmd -rwxr-xr-x. 1 hdfs hdfs 1776 Jun 29 2015 rcc -rwxr-xr-x. 1 hdfs hdfs 204075 Jun 29 2015 test-container-executor -rwxr-xr-x. 1 hdfs hdfs 13308 Jun 29 2015 yarn -rwxr-xr-x. 1 hdfs hdfs 11386 Jun 29 2015 yarn.cmd
3、创建目录，拷贝可执行文件和配置文件到指定目录
[root@cluster2-host1 bin]# mkdir -p /hdp/bin [root@cluster2-host1 bin]# mkdir -p /hdp/etc/hadoop [root@cluster2-host1 bin]# scp /usr/local/hadoop/bin/container-executor /hdp/bin/ [root@cluster2-host1 bin]# scp /usr/local/hadoop/etc/hadoop/container-executor.cfg /hdp/etc/hadoop/
修改配置文件的内容如下
yarn.nodemanager.linux-container-executor.group=hdfs banned.users=mysql min.user.id=500 allowed.system.users=root
4、修改可执行文件的属组
[root@cluster2-host1 hadoop]# ll /hdp/bin/container-executor -rwxr-xr-x. 1 root hdfs 160127 Mar 3 20:12 /hdp/bin/container-executor [root@cluster2-host1 hadoop]# ll /hdp/etc/hadoop/ total 4 -rw-r--r--. 1 root root 318 Mar 3 20:13 container-executor.cfg [root@cluster2-host1 hadoop]#
修改权限
[root@cluster2-host1 hadoop]# chmod 6050 /hdp/bin/container-executor [root@cluster2-host1 hadoop]# ll /hdp/bin/container-executor ---Sr-s---. 1 root hdfs 160127 Mar 3 20:12 /hdp/bin/container-executor
5、做如下检查，如果输出一致，则container-executor配置完成
[root@cluster2-host1 hadoop]# hadoop checknative 20/03/03 20:29:41 WARN bzip2.Bzip2Factory: Failed to load/initialize native-bzip2 library system-native, will use pure-Java version 20/03/03 20:29:41 INFO zlib.ZlibFactory: Successfully loaded & initialized native-zlib library Native library checking: hadoop: true /usr/local/hadoop/lib/native/libhadoop.so.1.0.0 zlib: true /lib64/libz.so.1 snappy: true /lib64/libsnappy.so.1 lz4: true revision:99 bzip2: false openssl: false Cannot load libcrypto.so (libcrypto.so: cannot open shared object file: No such file or directory)! [root@cluster2-host1 hadoop]# /hdp/bin/container-executor --checksetup [root@cluster2-host1 hadoop]#
6、拷贝hdp目录 到其他节点，需要设置相同的属组和权限
[root@cluster2-host1 sbin]# scp /hdp/etc/hadoop/container-executor.cfg root@cluster2-host2:/hdp/etc/hadoop/ container-executor.cfg
7、启动yarn
[root@cluster2-host1 sbin]# ./start-yarn.sh starting yarn daemons starting resourcemanager, logging to /usr/local/hadoop/logs/yarn-root-resourcemanager-cluster2-host1.out cluster2-host3: starting nodemanager, logging to /usr/local/hadoop/logs/yarn-root-nodemanager-cluster2-host3.out cluster2-host2: starting nodemanager, logging to /usr/local/hadoop/logs/yarn-root-nodemanager-cluster2-host2.out cluster2-host1: starting nodemanager, logging to /usr/local/hadoop/logs/yarn-root-nodemanager-cluster2-host1.out
8、验证yarn on kerberos配置完成，能正常执行即可
[root@cluster2-host1 hadoop]# ./bin/hadoop jar /usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-examples-2.7.1.jar wordcount /input /output
输出如下
[root@cluster2-host1 hadoop]# hdfs dfs -ls /output Found 2 items -rw-r--r-- 2 hdfs supergroup 0 2020-03-03 21:40 /output/_SUCCESS -rw-r--r-- 2 hdfs supergroup
