Linux企业运维篇——Hadoop+zookeeper高可用

清除之前环境(接上一篇)

[hadoop@server1 hadoop]$ sbin/stop-yarn.sh
[hadoop@server1 hadoop]$ sbin/stop-dfs.sh 

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server1,2,3,4都要清除

[hadoop@server1 hadoop]$ cd /tmp/
[hadoop@server1 tmp]$ rf -rm *
[hadoop@server2 ~]$ rm -rf /tmp/*
[hadoop@server3 ~]$ rm -rf /tmp/*
[hadoop@server4 ~]$ rm -rf /tmp/*

搭建zookepper(任意一个节点,这里在server2上)

[hadoop@server2 ~]$ ls
hadoop               java                        zookeeper-3.4.9.tar.gz
hadoop-3.0.3         jdk1.8.0_181
hadoop-3.0.3.tar.gz  jdk-8u181-linux-x64.tar.gz
[hadoop@server2 ~]$ tar zxf zookeeper-3.4.9.tar.gz
[hadoop@server2 ~]$ cd zookeeper-3.4.9
[hadoop@server2 zookeeper-3.4.9]$ cd conf/
[hadoop@server2 conf]$ ls
configuration.xsl  log4j.properties  zoo_sample.cfg\

添加从节点信息

[hadoop@server2 conf]$  cp zoo_sample.cfg zoo.cfg
[hadoop@server2 conf]$ vim zoo.cfg #添加以下代码到文件末尾
server.1=172.25.70.2:2888:3888 
server.2=172.25.70.3:2888:3888 
server.3=172.25.70.4:2888:3888

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各节点配置文件相同,并且需要在/tmp/zookeeper 目录中创建 myid 文件,写入一个唯一的数字,取值范围在 1-255

[hadoop@server2 ~]$ mkdir /tmp/zookeeper
[hadoop@server3 ~]$ mkdir /tmp/zookeeper
[hadoop@server4 ~]$ mkdir /tmp/zookeeper
[hadoop@server2 ~]$ echo 1 > /tmp/zookeeper/myid
[hadoop@server3 ~]$ echo 2 > /tmp/zookeeper/myid
[hadoop@server4 ~]$ echo 3 > /tmp/zookeeper/myid

server2,3,4都开启服务

[hadoop@server2 zookeeper-3.4.9]$ pwd
/home/hadoop/zookeeper-3.4.9
[hadoop@server2 zookeeper-3.4.9]$ bin/zkServer.sh start

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[hadoop@server3 zookeeper-3.4.9]$ bin/zkServer.sh start
ZooKeeper JMX enabled by default
Using config: /home/hadoop/zookeeper-3.4.9/bin/../conf/zoo.cfg
Starting zookeeper ... STARTED

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[hadoop@server4 hadoop]$ cd /home/hadoop/zookeeper-3.4.9
[hadoop@server4 zookeeper-3.4.9]$  bin/zkServer.sh start
ZooKeeper JMX enabled by default
Using config: /home/hadoop/zookeeper-3.4.9/bin/../conf/zoo.cfg
Starting zookeeper ... STARTED

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并查看各节点状态
server3是主节点,server2,4是从节点

[hadoop@server2 zookeeper-3.4.9]$ bin/zkServer.sh status
ZooKeeper JMX enabled by default
Using config: /home/hadoop/zookeeper-3.4.9/bin/../conf/zoo.cfg
Mode: follower

[hadoop@server3 zookeeper-3.4.9]$ bin/zkServer.sh status
ZooKeeper JMX enabled by default
Using config: /home/hadoop/zookeeper-3.4.9/bin/../conf/zoo.cfg
Mode: leader

[hadoop@server4 zookeeper-3.4.9]$ bin/zkServer.sh status 
#确保java环境,用java -version查看,如果环境有问题可以重新加载一下,使用[hadoop@server4 ~]$ source .bash_profile 

ZooKeeper JMX enabled by default
Using config: /home/hadoop/zookeeper-3.4.9/bin/../conf/zoo.cfg
Mode: follower

在server2进入命令行

[hadoop@server2 bin]$ ls
README.txt    zkCli.cmd  zkEnv.cmd  zkServer.cmd
zkCleanup.sh  zkCli.sh   zkEnv.sh   zkServer.sh
[hadoop@server2 bin]$ pwd
/home/hadoop/zookeeper-3.4.9/bin
[hadoop@server2 bin]$ ./zkCli.sh #连接zookeeper

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回车进入命令行
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server1进行hadoop的配置详解

/home/hadoop/hadoop/etc/hadoop
[hadoop@server1 hadoop]$ vim core-site.xml 
 19 <configuration>
 20      <property>
 21           <name>fs.defaultFS</name>
 22           <value>hdfs://masters</value> #指定 hdfs 的 namenode 为 masters (名称可自定义)
 23      </property>
 24 
 25      <property>
 26           <name>ha.zookeeper.quorum</name>
 27           <value>172.25.70.2:2181,172.25.70.3:2181,172.25.70.4:2181</value> #指定 zookeeper 集群主机地址
 28       </property>
 29 </configuration>


[hadoop@server1 hadoop]$ vim hdfs-site.xml
<configuration>
 <property>
      <name>dfs.replication</name>
      <value>3</value>
 </property>
 
#指定 hdfs 的 nameservices 为 masters,和 core-site.xml 文件中的设置保持一致
 <property>
      <name>dfs.nameservices</name>
      <value>masters</value>
 </property>
 
#masters 下面有两个 namenode 节点,分别是 h1 和 h2
 <property>
      <name>dfs.ha.namenodes.masters</name>
      <value>h1,h2</value>
 </property>

#指定 h1 节点的 rpc 通信地址
 <property>
      <name>dfs.namenode.rpc-address.masters.h1</name>
      <value>172.25.70.1:9000</value>
 </property>

#指定 h1 节点的 http 通信地址
 <property>
      <name>dfs.namenode.http-address.masters.h1</name>
      <value>172.25.70.1:9870</value>
 </property>

#指定 h2 节点的 rpc 通信地址
 <property>
      <name>dfs.namenode.rpc-address.masters.h1</name>
      <value>172.25.70.5:9000</value>
 </property>

#指定 h2 节点的 http 通信地址
  <property>
      <name>dfs.namenode.http-address.masters.h1</name>
      <value>172.25.70.5:9870</value>
 </property>

#指定 NameNode 元数据在 JournalNode 上的存放位置
 <property>
      <name>dfs.namenode.shared.edits.dir</name>
      <value>qjournal://172.25.70.2:8485;172.25.70.3:8485;172.25.70.4:8485/masters</value>
 </property>

#指定 JournalNode 在本地磁盘存放数据的位置
 <property>
      <name>dfs.journalnode.edits.dir</name>
      <value>/tmp/journaldata</value>
 </property>

#开启 NameNode 失败自动切换
 <property>
      <name>dfs.ha.automatic-failover.enabled</name>
      <value>true</value>
 </property>

#配置失败自动切换实现方式
 <property>
      <name>dfs.client.failover.proxy.provider.masters</name>
      <value>org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider</value>
 </property>

#配置隔离机制方法,每个机制占用一行
<property>
       <name>dfs.ha.fencing.methods</name>
       <value>     
       sshfence
       shell(/bin/true)
       </value>
 </property>

#使用 sshfence 隔离机制时需要 ssh 免密码
 <property>
      <name>dfs.ha.fencing.ssh.private-key-files</name>
      <value>/home/hadoop/.ssh/id_rsa</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>

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启动 hdfs 集群(按顺序启动)在三个 DN 上依次启动 zookeeper 集群
server2:

[hadoop@server2 bin]$ cd /home/hadoop/hadoop
[hadoop@server2 hadoop]$ bin/hdfs --daemon start journalnode
[hadoop@server2 hadoop]$ jps
11652 Jps
11301 QuorumPeerMain
11612 JournalNode

[hadoop@server3 bin]$ cd /home/hadoop/hadoop
[hadoop@server3 hadoop]$ bin/hdfs --daemon start journalnode
[hadoop@server3 hadoop]$ jps
11107 QuorumPeerMain
11399 JournalNode
11448 Jps

[hadoop@server4 zookeeper-3.4.9]$ cd /home/hadoop/hadoop
[hadoop@server4 hadoop]$  bin/hdfs --daemon start journalnode
[hadoop@server4 hadoop]$ jps
12018 Jps
11797 QuorumPeerMain
11977 JournalNode

传递配置文件搭建高可用

[hadoop@server1 hadoop]$ cd /home/hadoop/hadoop
[hadoop@server1 hadoop]$ bin/hdfs namenode -format

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[hadoop@server1 hadoop]$ scp -r /tmp/hadoop-hadoop 172.25.70.5:/tmp

格式化 zookeeper (只需在 h1 上执行即可)

[hadoop@server1 hadoop]$ pwd
/home/hadoop/hadoop
[hadoop@server1 hadoop]$ bin/hdfs zkfc -formatZK
[zk: localhost:2181(CONNECTED) 1] get /hadoop-ha/masters/ActiveBreadCrumb

启动 hdfs 集群(只需在 h1 上执行即可)

[hadoop@server1 hadoop]$ sbin/start-dfs.sh 
Starting namenodes on [server1 server5]
server5: Warning: Permanently added 'server5' (ECDSA) to the list of known hosts.
Starting datanodes
Starting journal nodes [172.25.70.2 172.25.70.3 172.25.70.4]
172.25.70.2: journalnode is running as process 11612.  Stop it first.
172.25.70.3: journalnode is running as process 11399.  Stop it first.
172.25.70.4: journalnode is running as process 11977.  Stop it first.
Starting ZK Failover Controllers on NN hosts [server1 server5]
[hadoop@server1 hadoop]$ jps
17074 DFSZKFailoverController
16725 NameNode
17125 Jps

浏览器测试显示server1上是active,server5是standby
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关闭server1,server5的状态就变成了active
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此时上传文件是通过server5

[hadoop@server1 hadoop]$ bin/hdfs dfs -mkdir -p /user/hadoop
[hadoop@server1 hadoop]$ bin/hdfs dfs -mkdir input
[hadoop@server1 hadoop]$ bin/hdfs dfs -put etc/hadoop/* input

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重新打开server1

   [hadoop@server1 hadoop]$ bin/hdfs --daemon start namenode
   [hadoop@server1 hadoop]$ jps

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转载自blog.csdn.net/weixin_44321116/article/details/90450918