【Hadoop HA】搭建Hadoop HA的详细教程

搭建Hadoop HA的详细教程

前置工作

配置host文件

**在每个节点的

/etc/hosts

文件下加入**

192.168.3.73 master
192.168.3.66 slave1
192.168.3.61 slave2

**确保可以相互

ping

通**

[root@host-192-168-3-73 ~]# ping slave1
PING slave1 (192.168.3.66) 56(84) bytes of data.
64 bytes from slave1 (192.168.3.66): icmp_seq=1 ttl=64 time=0.589 ms
64 bytes from slave1 (192.168.3.66): icmp_seq=2 ttl=64 time=0.476 ms
64 bytes from slave1 (192.168.3.66): icmp_seq=3 ttl=64 time=0.490 ms
64 bytes from slave1 (192.168.3.66): icmp_seq=4 ttl=64 time=0.528 ms
^C
--- slave1 ping statistics ---
4 packets transmitted, 4 received, 0% packet loss, time 3001ms
rtt min/avg/max/mdev = 0.476/0.520/0.589/0.051 ms

ssh免密登录

**执行命令

ssh-keygen -t rsa -P ''

，然后回车即可**

[root@host-192-168-3-73 ~]# ssh-keygen -t rsa -P ''
Generating public/private rsa key pair.
Enter fileinwhich to save the key (/root/.ssh/id_rsa): 
Created directory '/root/.ssh'.
Your identification has been saved in /root/.ssh/id_rsa.
Your public key has been saved in /root/.ssh/id_rsa.pub.
The key fingerprint is:
SHA256:MtzaPUXxJdLDLcvwLxQqWH7HQkr20m7rUgL48IF9f/U root@host-192-168-3-73
The key's randomart image is:
+---[RSA 2048]----+
|            oo...||          + o+*o.||       + * =.*.=||     .+.= *.* B .||      ++S+ *.+ o.||=o...= o E||.. o+ o .||...    ||           o.    |
+----[SHA256]-----+

**查看

/root

下是否有"

.ssh

"文件夹，且"

.ssh

"文件下是否有两个刚生产的无密码密钥对。,因为我是使用

root

用户来配置的，所以在这目录下，若你使用的时其他用户，则需要在

/home/User

目录下寻找

.ssh

目录**

[root@master .ssh]# pwd
/root/.ssh
[root@master .ssh]# ll
total 8
-rw-------. 1 root root 1675 Mar 16 16:02 id_rsa
-rw-r--r--. 1 root root  393 Mar 16 16:02 id_rsa.pub

**将

id_rsa.pub 

追加到授权

key

文件中**

cat id_rsa.pub >> authorized_keys

修改文件权限，若使用的时管理员用户则不需要

chmod 600 authorized_keys 

**修改

SSH

配置文件"

/etc/ssh/sshd_config

"的下列内容，需要将该配置字段前面的

#

号删除，启用公钥私钥配对认证方式。**

PubkeyAuthentication yes

重启服务

systemctl restart sshd

尝试本机嵌套登录，如能不输入密码就表示本机通过密钥登陆验证成功

[root@master .ssh]# ssh localhost
The authenticity of host 'localhost (::1)' can't be established.
ECDSA key fingerprint is SHA256:Hr69gEn5JbaH3pZPvyJ9qhzyCzPYIyleYQyqA+vPz3U.
ECDSA key fingerprint is MD5:f6:f4:9e:7d:c5:b1:8f:68:db:a3:49:66:05:6e:e4:c4.
Are you sure you want to continue connecting (yes/no)? yes
Warning: Permanently added 'localhost' (ECDSA) to the list of known hosts.
Last login: Wed Mar 16 15:41:55 2022 from 192.168.0.1

**将

Master

节点的公钥

 id_rsa.pub

复制到每个

Slave 

点，注意不要复制到相同目录下，否则会直接覆盖，建议放到前一个目录**

scp id_rsa.pub root@slave1:/root/

[root@master .ssh]# scp id_rsa.pub root@slave1:/root/
The authenticity of host 'slave1 (192.168.0.163)' can't be established.
ECDSA key fingerprint is SHA256:HCyXDBNPToF3n/6WgB/Sj8M9z3IHaGy8CRVTJY6YqQs.
ECDSA key fingerprint is MD5:2e:16:4d:94:00:05:ff:c5:8e:13:08:6a:6a:a9:02:f8.
Are you sure you want to continue connecting (yes/no)? yes
Warning: Permanently added 'slave1,192.168.0.163' (ECDSA) to the list of known hosts.
root@slave1's password: 
id_rsa.pub                                                                                                                                                                     100%  393   314.0KB/s   00:00    

**在每个

Slave 

点把

Master

节点复制的公钥复制到

authorized_keys 

文件**

cat id_rsa.pub >> .ssh/authorized_keys

删除文件

rm -fr id_rsa.pub

**将

slave1

的公钥发送到

master

**

scp .ssh/id_rsa.pub root@master:/root/

The authenticity of host 'master (192.168.0.162)' can't be established.
ECDSA key fingerprint is SHA256:Hr69gEn5JbaH3pZPvyJ9qhzyCzPYIyleYQyqA+vPz3U.
ECDSA key fingerprint is MD5:f6:f4:9e:7d:c5:b1:8f:68:db:a3:49:66:05:6e:e4:c4.
Are you sure you want to continue connecting (yes/no)? yes
Warning: Permanently added 'master,192.168.0.162' (ECDSA) to the list of known hosts.
root@master's password: 
id_rsa.pub                                                                                                                                                                     100%  393   493.3KB/s   00:00    

**在

Master

节点把从

Slave

节点复制的公钥复制到

authorized_keys 

文件**

cat id_rsa.pub >> .ssh/authorized_keys

删除文件

rm -fr id_rsa.pub

**查看

master

节点的

authorized_keys

文件,可以发现有两个公钥**

[root@master ~]# cat .ssh/authorized_keys 
ssh-rsa AAAAB3NzaC1yc2EAAAADAQABAAABAQDIgiraYbUS+wal7gSzx/kpuZ+ZPnE1Tc+u1QVi25i3ZgoBTOFqjTv973xy3ueExn1udYGmhDDB+vXFxNs2AIgXZEoEpgZAz2kcAEJBjkXT0p8sYXgaliMMFNP8dwiJTCs/YIDol+KIIkIwa3WbQoVEc1zQH1+Xr1Rto1IgLXPRgXO3IMfmX7nqc2ZMdBt0OaPDf2NtBI3e/QDEa59f6J+ge4r8MPuc9C51MeU6NPr20A99Psy1Jbvrr7/Fb2pLxnfne50+4DYjsGPztOgHuQFWoAQ+LDUW6Xhbs5Ig8bUEHt1AILwyNwagJvcsGIvp3wOQt+HRHxJCoAjgPeFsFwJF root@master
ssh-rsa AAAAB3NzaC1yc2EAAAADAQABAAABAQCoPA9uCf/PmUgbpmbPF13VvIwJiSHqAVIpffylbk2g+mEJQMnLxmYv4AVsdc3Wjul2rUMoQh4RPeMFFFincrYFN88DA6SF0F9ZNQOy+6p7CWxLd24hrsn7J69Pab0HxIlMAng8zKjAxZKAOBWyih1nJzqf3UHNdAeZkoe8MbNf6jTXM67vGa0V0FUFU/GvX6st8fLDbROKB8kh1N2X/qLNFiDgxY3Vm1rgN4cDGhs/UqugOHgwnvUScUkjoDQyGn/vYfgHxThHoF+Dv57Xa+bjyUbMmIQYgH7xR/V25F3iU6no3P0LmWsVc4uTTZwdcsPpxMcAfDFL+u5cnivtKrdj root@slave1

**这时可以从

master

节点来登录

slave

**

[root@master ~]# ssh slave1
Last login: Tue Mar 15 12:18:56 2022 from ::1
[root@slave1 ~]# 

需要将每一个节点的公钥都交换

JDK的配置

**将文件解压到指定目录:

tar -zxvf jdk-8u162-linux-x64.tar.gz -C /home/

**

**重命名

mv jdk1.8.0_162/ jdk

**

**配置环境变量:

vi /etc/profile

**

export JAVA_HOME=/home/jdk
export PATH=$PATH:$JAVA_HOME/bin

使其立即生效

source /etc/profile

测试

[root@host-192-168-3-73 home]# java -version
java version "1.8.0_162"
Java(TM) SE Runtime Environment (build 1.8.0_162-b12)
Java HotSpot(TM) 64-Bit Server VM (build 25.162-b12, mixed mode)

将jdk转发

scp -r /home/jdk slave1:/home
scp -r /home/jdk slave2:/home

[root@host-192-168-3-73 home]# scp /etc/profile slave1:/etc/
profile                                                                                                                                                                        100% 1880     1.2MB/s   00:00    
[root@host-192-168-3-73 home]# scp /etc/profile slave2:/etc/
profile                                                                                                                                                                        100% 1880     1.2MB/s   00:00    

ZooKeeper配置

**解压缩:

tar -zxvf zookeeper-3.4.5.tar.gz -C /home/

**

**重命名:

mv zookeeper-3.4.5/ zookeeper

**

在根目录下创建两个文件夹

mkdir logs
mkdir data

**加入conf目录，生成文件:

cp zoo_sample.cfg zoo.cfg

**

并且修改文件

tickTime=2000
initLimit=10
syncLimit=5
dataDir=/home/zookeeper/data
dataLogDir=/home/zookeeper/logs
clientPort=2181
server.1=master:2888:3888
server.2=slave1:2889:3889
server.3=slave2:2890:3890

分发

scp -r /home/zookeeper/ slave1:/home/
scp -r /home/zookeeper/ slave2:/home/

**在每个节点的

zookeeper/data

目录下写入**

echo '1' > data/myid
echo '2' > data/myid
echo '3' > data/myid

**启动:

bin/zkServer.sh start

**

查看状态

[root@host-192-168-3-73 zookeeper]# bin/zkServer.sh status
JMX enabled by default
Using config: /home/zookeeper/bin/../conf/zoo.cfg
Mode: follower

Hadoop HA配置文件

**解压缩:

tar -zxvf hadoop-2.7.7.tar.gz -C /home/

**

创建目录

mkdir logs
mkdir tmp
mkdir -p dfs/name
mkdir -p dfs/data

修改slaves文件

slave1
slave2

修改hadoop-env.sh文件

export JAVA_HOME=/home/jdk

core-site.xml

<property><name>fs.defaultFS</name><value>hdfs://mycluster</value></property><property><name>hadoop.tmp.dir</name><value>/home/hadoop/tmp</value></property><property><name>ha.zookeeper.quorum</name><value>master,slave1,slave2</value></property><!-- hadoop 链接 zookeeper 的超时时长设置 --><property><name>ha.zookeeper.session-timeout.ms</name><value>30000</value></property><property><name>fs.trash.interval</name><value>1440</value></property>

hdfs-site.xml

<property><name>dfs.replication</name><value>1</value></property><property><name>dfs.namenode.name.dir</name><value>/home/hadoop/dfs/name</value></property><property><name>dfs.datanode.data.dir</name><value>/home/hadoop/dfs/data</value></property><property><name>dfs.nameservices</name><value>mycluster</value></property><property><name>dfs.ha.namenodes.mycluster</name><value>n1,n2</value></property><property><name>dfs.namenode.rpc-address.mycluster.n1</name><value>master:8020</value></property><property><name>dfs.namenode.rpc-address.mycluster.n2</name><value>slave1:8020</value></property><property><name>dfs.namenode.http-address.mycluster.n1</name><value>master:50070</value></property><property><name>dfs.namenode.http-address.mycluster.n2</name><value>slave1:50070</value></property><property><name>dfs.namenode.shared.edits.dir</name><value>qjournal://master:8485;slave1:8485;slave2:8485/mycluster</value></property><property><name>dfs.journalnode.edits.dir</name><value>/home/hadoop/jn</value></property><property><name>dfs.client.failover.proxy.provider.mycluster</name><value>org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider</value></property><property><name>dfs.ha.fencing.methods</name><value>
sshfence
shell(/bin/true)
  </value></property><property><name>dfs.ha.fencing.ssh.private-key-files</name><value>/root/.ssh/id_rsa</value></property><property><name>dfs.ha.automatic-failover.enabled.mycluster</name><value>true</value></property><!-- 配置 sshfence 隔离机制超时时间 --><property><name>dfs.ha.fencing.ssh.connect-timeout</name><value>30000</value></property><property><name>ha.failover-controller.cli-check.rpc-timeout.ms</name><value>60000</value></property><!-- journalnode 集群之间通信的超时时间 --><property><name>dfs.qjournal.start-segment.timeout.ms</name><value>60000</value></property>

mapred-site.xml

<!-- 指定 mr 框架为 yarn 方式 --><property><name>mapreduce.framework.name</name><value>yarn</value></property><!-- 指定 mapreduce jobhistory 地址 --><property><name>mapreduce.jobhistory.address</name><value>master:10020</value></property><!-- 任务历史服务器的 web 地址 --><property><name>mapreduce.jobhistory.webapp.address</name><value>master:19888</value></property>

yarn-site.xml

<property><name>yarn.nodemanager.aux-services</name><value>mapreduce_shuffle</value></property><property><name>yarn.resourcemanager.ha.enabled</name><value>true</value></property><property><name>yarn.resourcemanager.cluster-id</name><value>cluster1</value></property><property><name>yarn.resourcemanager.ha.rm-ids</name><value>r1,r2</value></property><property><name>yarn.resourcemanager.hostname.r1</name><value>master</value></property><property><name>yarn.resourcemanager.hostname.r2</name><value>slave1</value></property><property><name>yarn.resourcemanager.webapp.address.r1</name><value>master:8088</value></property><property><name>yarn.resourcemanager.webapp.address.r2</name><value>slave1:8088</value></property><property><name>yarn.resourcemanager.zk-address</name><value>master,slave1,slave2</value></property><property><name>yarn.resourcemanager.recovery.enabled</name><value>true</value></property><property><name>yarn.resourcemanager.store.class</name><value>org.apache.hadoop.yarn.server.resourcemanager.recovery.ZKRMStateStore</value></property><property><name>yarn.log-aggregation.retain-seconds</name><value>86400</value></property>

启动与测试

分发

scp -r /home/hadoop slave1:/home
scp -r /home/hadoop slave2:/home

**每个节点需要先启动

journalnode

**

sbin/hadoop-daemon.sh start journalnode

**格式化

namenode

**

bin/hadoop namenode -format

**将已格式化的

namenode

tmp目录传给另一个

namenode

**

[root@host-192-168-3-73 hadoop]# scp -r dfs/ slave1:/home/hadoop/
VERSION                                                                                                                                                                        100%  205   130.7KB/s   00:00    
seen_txid                                                                                                                                                                      100%    2     1.6KB/s   00:00    
fsimage_0000000000000000000.md5                                                                                                                                                100%   62    68.6KB/s   00:00    
fsimage_0000000000000000000                                                                                                                                                    100%  321   270.9KB/s   00:00    

**或者使用命令:

bin/namenode -bootstrapStandby

**

格式化zkfc

bin/hdfs zkfc -formatZK

**在每个

namenode

节点上启动

zkfc

**

sbin/hadoop-daemon.sh start zkfc

启动集群

sbin/start-all.sh

查看集群的进程

# namenode1
2752 NameNode
2326 JournalNode
2568 DFSZKFailoverController
1897 QuorumPeerMain
3035 ResourceManager
3182 Jps

# namenode2
2080 NodeManager
2194 Jps
1763 JournalNode
1861 DFSZKFailoverController
1656 QuorumPeerMain
1992 DataNode
1933 NameNode

# datanode
1953 NodeManager
1866 DataNode
1659 QuorumPeerMain
2107 Jps
1773 JournalNode

**查看

webui

**

杀死活跃的主节点

kill -9 2752

一些命令

# 强制切换成等待
bin/hdfs haadmin -transitionToStandby -forcemanual nn1
# 强制切换成活跃
bin/hdfs haadmin -transitionToActive -forcemanual nn1