Hadoop +Zookeeper 实现高可用

电玩女神 2022-01-28 01:49 266阅读 0赞

# 实验环境 #

IP			主机名			
    172.25.38.1		server1			Namenode
    172.25.38.2		server2			Journalnode
    172.25.38.3		server3		    Journalnode
    172.25.38.4		server4         Journalnode
    172.25.38.5		server5			Namenode

## 1、搭建zookeeper集群 ##

[root@server1 ~]# /etc/init.d/nfs start  开启服务
    [root@server1 ~]# showmount -e
    Export list for server1:
    /home/hadoop *
    [root@server1 ~]# su - hadoop
    [hadoop@server1 ~]$ 
    [hadoop@server1 ~]$ ls
    hadoop        hadoop-2.7.3.tar.gz  jdk1.7.0_79
    hadoop-2.7.3  java                 jdk-7u79-linux-x64.tar.gz
    [hadoop@server1 ~]$ rm -fr /tmp/*
    [hadoop@server1 ~]$ ls
    hadoop               java                       zookeeper-3.4.9.tar.gz
    hadoop-2.7.3         jdk1.7.0_79
    hadoop-2.7.3.tar.gz  jdk-7u79-linux-x64.tar.gz
    [hadoop@server1 ~]$ tar zxf zookeeper-3.4.9.tar.gz   解压zookeeper包

## 2、配置server5作为高可用节点 ##

[root@server5 ~]# yum install nfs-utils -y  安装服务
    [root@server5 ~]# /etc/init.d/rpcbind start  开启服务                                       [  OK  ]
    [root@server5 ~]# /etc/init.d/nfs start 开启nfs服务
    [root@server5 ~]# useradd -u 800 hadoop
    [root@server5 ~]# mount 172.25.38.1:/home/hadoop/ /home/hadoop/   挂载
    [root@server5 ~]# df  查看挂载
    Filesystem                   1K-blocks    Used Available Use% Mounted on
    /dev/mapper/VolGroup-lv_root  19134332  929548  17232804   6% /
    tmpfs                           380140       0    380140   0% /dev/shm
    /dev/vda1                       495844   33478    436766   8% /boot
    172.25.38.1:/home/hadoop/     19134336 3289728  14872704  19% /home/hadoop
    [root@server5 ~]# su - hadoop
    [hadoop@server5 ~]$ ls
    hadoop        hadoop-2.7.3.tar.gz  jdk1.7.0_79    主机均已经同步
    hadoop-2.7.3  java                 jdk-7u79-linux-x64.tar.gz
    [hadoop@server5 ~]$ rm -fr /tmp/*

## 3、配置从节点 ##

[root@server2 ~]# mount 172.25.38.1:/home/hadoop/ /home/hadoop/  挂载
    [root@server2 ~]# df  查看挂载
    Filesystem                   1K-blocks    Used Available Use% Mounted on
    /dev/mapper/VolGroup-lv_root  19134332 1860136  16302216  11% /
    tmpfs                           251120       0    251120   0% /dev/shm
    /dev/vda1                       495844   33478    436766   8% /boot
    172.25.38.1:/home/hadoop/     19134336 3289728  14872704  19% /home/hadoop
    [root@server2 ~]# rm -fr /tmp/*
    [root@server2 ~]# su - hadoop
    [hadoop@server2 ~]$ ls
    hadoop               java                       zookeeper-3.4.9
    hadoop-2.7.3         jdk1.7.0_79                zookeeper-3.4.9.tar.gz
    hadoop-2.7.3.tar.gz  jdk-7u79-linux-x64.tar.gz
    [hadoop@server2 ~]$ cd zookeeper-3.4.9
    [hadoop@server2 zookeeper-3.4.9]$ ls
    bin          dist-maven       LICENSE.txt           src
    build.xml    docs             NOTICE.txt            zookeeper-3.4.9.jar
    CHANGES.txt  ivysettings.xml  README_packaging.txt  zookeeper-3.4.9.jar.asc
    conf         ivy.xml          README.txt            zookeeper-3.4.9.jar.md5
    contrib      lib              recipes               zookeeper-3.4.9.jar.sha1
    [hadoop@server2 zookeeper-3.4.9]$ cd conf/
    [hadoop@server2 conf]$ ls
    configuration.xsl  log4j.properties  zoo_sample.cfg

## 4、添加从节点信息 ##

[hadoop@server2 conf]$ cp zoo_sample.cfg zoo.cfg 
    [hadoop@server2 conf]$ vim zoo.cfg 
    [hadoop@server2 conf]$ cat zoo.cfg | tail -n 3
    server.1=172.25.38.2:2888:3888
    server.2=172.25.38.3:2888:3888
    server.3=172.25.38.4:2888:3888
    [hadoop@server2 conf]$ mkdir /tmp/zookeeper
    [hadoop@server2 conf]$ cd /tmp/zookeeper/
    [hadoop@server2 zookeeper]$ ls
    [hadoop@server2 zookeeper]$ echo 1 > myid
    [hadoop@server2 zookeeper]$ ls
    myid
    [hadoop@server2 zookeeper]$ cd 
    [hadoop@server2 ~]$ cd zookeeper-3.4.9/conf/
    [hadoop@server2 conf]$ ls
    configuration.xsl  log4j.properties  zoo.cfg  zoo_sample.cfg
    [hadoop@server2 conf]$ cd ..
    [hadoop@server2 zookeeper-3.4.9]$ cd bin/

*  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 zookeeper-3.4.9]$ cd bin/
    [hadoop@server2 bin]$ ls
    README.txt    zkCli.cmd  zkEnv.cmd  zkServer.cmd
    zkCleanup.sh  zkCli.sh   zkEnv.sh   zkServer.sh
    [hadoop@server2 bin]$ ./zkServer.sh start  开启服务

*  依次按照同样的方法配置其他节点

server3

[root@server3 ~]# mount 172.25.38.1:/home/hadoop/ /home/hadoop/
    [root@server3 ~]# df
    Filesystem                   1K-blocks    Used Available Use% Mounted on
    /dev/mapper/VolGroup-lv_root  19134332 1537052  16625300   9% /
    tmpfs                           251124       0    251124   0% /dev/shm
    /dev/vda1                       495844   33478    436766   8% /boot
    172.25.38.1:/home/hadoop/     19134336 3289728  14872704  19% /home/hadoop
    [root@server3 ~]# rm -fr /tmp/*
    [root@server3 ~]# su - hadoop
    [hadoop@server3 ~]$ ls
    hadoop               java                       zookeeper-3.4.9
    hadoop-2.7.3         jdk1.7.0_79                zookeeper-3.4.9.tar.gz
    hadoop-2.7.3.tar.gz  jdk-7u79-linux-x64.tar.gz
    [hadoop@server3 ~]$ mkdir /tmp/zookeeper
    [hadoop@server3 ~]$ cd /tmp/zookeeper/
    [hadoop@server3 zookeeper]$ ls
    [hadoop@server3 zookeeper]$ echo 2 > myid
    [hadoop@server3 zookeeper]$ cd
    [hadoop@server3 ~]$ cd zookeeper-3.4.9/bin/
    [hadoop@server3 bin]$ ls
    README.txt    zkCli.cmd  zkEnv.cmd  zkServer.cmd  zookeeper.out
    zkCleanup.sh  zkCli.sh   zkEnv.sh   zkServer.sh
    [hadoop@server3 bin]$ ./zkServer.sh start

server4

[root@server4 ~]# mount 172.25.38.1:/home/hadoop/ /home/hadoop/
    [root@server4 ~]# df
    Filesystem                   1K-blocks    Used Available Use% Mounted on
    /dev/mapper/VolGroup-lv_root  19134332 1350656  16811696   8% /
    tmpfs                           251124       0    251124   0% /dev/shm
    /dev/vda1                       495844   33478    436766   8% /boot
    172.25.38.1:/home/hadoop/     19134336 3289728  14872704  19% /home/hadoop
    [root@server4 ~]# rm -fr /tmp/*
    [root@server4 ~]# su - hadoop
    [hadoop@server4 ~]$ mkdir /tmp/zookeeper
    [hadoop@server4 ~]$ cd /tmp/zookeeper/
    [hadoop@server4 zookeeper]$ ls
    [hadoop@server4 zookeeper]$ echo 3 >myid
    [hadoop@server4 zookeeper]$ ls
    myid
    [hadoop@server4 zookeeper]$ cd 
    [hadoop@server4 ~]$ cd zookeeper-3.4.9/bin/
    [hadoop@server4 bin]$ ./zkServer.sh start
    ZooKeeper JMX enabled by default

server2

[hadoop@server2 bin]$ ls
    README.txt    zkCli.cmd  zkEnv.cmd  zkServer.cmd  zookeeper.out
    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
    [zk: localhost:2181(CONNECTED) 0] ls /
    [zookeeper]
    [zk: localhost:2181(CONNECTED) 1] ls /zookeeper
    [quota]
    [zk: localhost:2181(CONNECTED) 2] ls /zookeeper/quota 
    []
    [zk: localhost:2181(CONNECTED) 3] get /zookeeper/quota  
    
    cZxid = 0x0
    ctime = Thu Jan 01 08:00:00 CST 1970
    mZxid = 0x0
    mtime = Thu Jan 01 08:00:00 CST 1970
    pZxid = 0x0
    cversion = 0
    dataVersion = 0
    aclVersion = 0
    ephemeralOwner = 0x0
    dataLength = 0
    numChildren = 0

## 5、hadoop的配置详解 ##

core-site.xml

[hadoop@server1 ~]$ ls
    hadoop               java                       zookeeper-3.4.9
    hadoop-2.7.3         jdk1.7.0_79                zookeeper-3.4.9.tar.gz
    hadoop-2.7.3.tar.gz  jdk-7u79-linux-x64.tar.gz
    [hadoop@server1 ~]$ cd hadoop/etc/hadoop/
    [hadoop@server1 hadoop]$ vim core-site.xml 
    <configuration>
    指定 hdfs 的 namenode 为 masters (名称可自定义)
    <property>
        <name>fs.defaultFS</name>
            <value>hdfs://masters</value>
                </property>
    <property>
    指定 zookeeper 集群主机地址
    <name>ha.zookeeper.quorum</name>
    <value>172.25.38.2:2181,172.25.38.3:2181,172.25.38.4:2181</value>
    </property>
    </configuration>

hdfs-site.xml

[hadoop@server1 hadoop]$ vim hdfs-site.xml 
    [hadoop@server1 hadoop]$ cat hdfs-site.xml | tail -n 74
    <configuration>
    <property>
        <name>dfs.replication</name>
            <value>3</value>
                </property>
    <property>
    
    指定 hdfs 的 nameservices 为 masters,和 core-site.xml 文件中的设置保持一致
    
    <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>172.25.38.1:9000</value>
    </property>
    
    指定 h1 节点的 http 通信地址
    
    <property>
    <name>dfs.namenode.http-address.masters.h1</name>
    <value>172.25.38.1:50070</value>
    </property>
    
    指定 h2 节点的 rpc 通信地址
    
    <property>
    <name>dfs.namenode.rpc-address.masters.h2</name>
    <value>172.25.38.5:9000</value>
    </property>
    
    指定 h2 节点的 http 通信地址
    
    <property>
    <name>dfs.namenode.http-address.masters.h2</name>
    <value>172.25.38.5:50070</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://172.25.38.2:8485;172.25.38.3:8485;172.25.38.4:8485/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>
    
    </configuration>

[hadoop@server1 hadoop]$ pwd
    /home/hadoop/hadoop/etc/hadoop
    [hadoop@server1 hadoop]$ vim slaves 
    [hadoop@server1 hadoop]$ cat slaves 
    172.25.38.2
    172.25.38.3
    172.25.38.4

*  在三个 DN 上依次启动 journalnode(第一次启动 hdfs 必须先启动 journalnode)

[hadoop@server2 hadoop]$ pwd
    /home/hadoop/hadoop
    [hadoop@server2 hadoop]$ ls
    bigfile  etc      input  libexec      logs        output      sbin
    bin      include  lib    LICENSE.txt  NOTICE.txt  README.txt  share
    [hadoop@server2 hadoop]$ sbin/hadoop-daemon.sh start journalnode
    starting journalnode, logging to /home/hadoop/hadoop-2.7.3/logs/hadoop-hadoop-journalnode-server2.out
    [hadoop@server2 hadoop]$ jps
    1459 JournalNode
    1508 Jps
    1274 QuorumPeerMain

*  server3和server4重复以上操作

## 6、测试与server5的免密连接，传递配置文件搭建高可用 ##

[hadoop@server1 hadoop]$ pwd
    /home/hadoop/hadoop
    [hadoop@server1 hadoop]$ ls
    bigfile  etc      input  libexec      logs        output      sbin
    bin      include  lib    LICENSE.txt  NOTICE.txt  README.txt  share
    [hadoop@server1 hadoop]$ bin/hdfs namenode -format
    [hadoop@server1 hadoop]$ ssh server5
    [hadoop@server5 ~]$ exit
    logout
    Connection to server5 closed.
    [hadoop@server1 hadoop]$ ssh 172.25.38.5
    Last login: Tue Aug 28 10:40:53 2018 from server1
    [hadoop@server5 ~]$ exit
    logout
    Connection to 172.25.38.5 closed.
    [hadoop@server1 hadoop]$ scp -r /tmp/hadoop-hadoop/ 172.25.38.5:/tmp/
    fsimage_0000000000000000000                        100%  353     0.3KB/s   00:00    
    VERSION                                            100%  202     0.2KB/s   00:00    
    seen_txid                                          100%    2     0.0KB/s   00:00    
    fsimage_0000000000000000000.md5                    100%   62     0.1KB/s   00:00

格式化 zookeeper (只需在 h1 上执行即可)

[hadoop@server1 hadoop]$ ls
    bigfile  etc      input  libexec      logs        output      sbin
    bin      include  lib    LICENSE.txt  NOTICE.txt  README.txt  share
    [hadoop@server1 hadoop]$ bin/hdfs zkfc -formatZK

启动 hdfs 集群(只需在 h1 上执行即可)

[hadoop@server1 hadoop]$ sbin/start-dfs.sh  免密没有做好的话需要卡住的时候输入yes

server2

[hadoop@server2 ~]$ ls
    hadoop        hadoop-2.7.3.tar.gz  jdk1.7.0_79                zookeeper-3.4.9
    hadoop-2.7.3  java                 jdk-7u79-linux-x64.tar.gz  zookeeper-3.4.9.tar.gz
    [hadoop@server2 ~]$ cd zookeeper-3.4.9
    [hadoop@server2 zookeeper-3.4.9]$ ls
    bin          dist-maven       LICENSE.txt           src
    build.xml    docs             NOTICE.txt            zookeeper-3.4.9.jar
    CHANGES.txt  ivysettings.xml  README_packaging.txt  zookeeper-3.4.9.jar.asc
    conf         ivy.xml          README.txt            zookeeper-3.4.9.jar.md5
    contrib      lib              recipes               zookeeper-3.4.9.jar.sha1
    [hadoop@server2 zookeeper-3.4.9]$ bin/zkCli.sh 
    [zk: localhost:2181(CONNECTED) 0] ls /
    [zookeeper, hadoop-ha]
    [zk: localhost:2181(CONNECTED) 1] ls /hadoop-ha
    [masters]
    [zk: localhost:2181(CONNECTED) 2] ls
    [zk: localhost:2181(CONNECTED) 3] ls /hadoop-ha/masters
    [ActiveBreadCrumb, ActiveStandbyElectorLock]
    [zk: localhost:2181(CONNECTED) 4] ls /hadoop-ha/masters/Active
    
    ActiveBreadCrumb           ActiveStandbyElectorLock
    [zk: localhost:2181(CONNECTED) 4] ls /hadoop-ha/masters/ActiveBreadCrumb
    []
    [zk: localhost:2181(CONNECTED) 5] get /hadoop-ha/masters/ActiveBreadCrumb
    
    mastersh2server5 �F(�>    当前master为server5
    cZxid = 0x10000000a
    ctime = Tue Aug 28 10:46:47 CST 2018
    mZxid = 0x10000000a
    mtime = Tue Aug 28 10:46:47 CST 2018
    pZxid = 0x10000000a
    cversion = 0
    dataVersion = 0
    aclVersion = 0
    ephemeralOwner = 0x0
    dataLength = 28
    numChildren = 0

## 7、在网页查看server1和server5的状态，一个为active，一个为standby ##

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## 8、测试故障自动切换 ##

[hadoop@server5 ~]$ ls
    hadoop        hadoop-2.7.3.tar.gz  jdk1.7.0_79                zookeeper-3.4.9
    hadoop-2.7.3  java                 jdk-7u79-linux-x64.tar.gz  zookeeper-3.4.9.tar.gz
    [hadoop@server5 ~]$ cd hadoop
    [hadoop@server5 hadoop]$ ls
    bigfile  etc      input  libexec      logs        output      sbin
    bin      include  lib    LICENSE.txt  NOTICE.txt  README.txt  share
    [hadoop@server5 hadoop]$ bin/hdfs dfs -mkdir /user
    [hadoop@server5 hadoop]$ bin/hdfs dfs -mkdir /user/hadoop
    [hadoop@server5 hadoop]$ bin/hdfs dfs -ls
    [hadoop@server5 hadoop]$ bin/hdfs dfs -put etc/hadoop/ input
    [hadoop@server5 hadoop]$ bin/hdfs dfs -ls
    Found 1 items
    drwxr-xr-x   - hadoop supergroup          0 2018-08-28 10:59 input
    [hadoop@server5 hadoop]$ jps
    1479 DFSZKFailoverController
    1382 NameNode
    1945 Jps
    [hadoop@server5 hadoop]$ kill -9 1382   直接结束进程

server2

[zk: localhost:2181(CONNECTED) 6] get /hadoop-ha/masters/ActiveBreadCrumb
    
    mastersh1server1 �F(�>   master已经变成了server1
    cZxid = 0x10000000a
    ctime = Tue Aug 28 10:46:47 CST 2018
    mZxid = 0x10000000f
    mtime = Tue Aug 28 11:00:22 CST 2018
    pZxid = 0x10000000a
    cversion = 0
    dataVersion = 1
    aclVersion = 0
    ephemeralOwner = 0x0
    dataLength = 28
    numChildren = 0

server5

[hadoop@server5 hadoop]$ pwd
    /home/hadoop/hadoop
    [hadoop@server5 hadoop]$ jps
    1479 DFSZKFailoverController
    1991 Jps
    [hadoop@server5 hadoop]$ sbin/hadoop-daemon.sh start namenode  恢复节点
    starting namenode, logging to /home/hadoop/hadoop-2.7.3/logs/hadoop-hadoop-namenode-server5.out
    [hadoop@server5 hadoop]$ jps  查看进程已经恢复
    1479 DFSZKFailoverController
    2020 NameNode
    2100 Jps

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