一、环境
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系统 CentOS7.0 64位
namenode01 192.168.0.220
namenode02 192.168.0.221
datanode01 192.168.0.222
datanode02 192.168.0.223
datanode03 192.168.0.224
二、配置基础环境
在所有的机器上添加本地hosts文件解析
[root@namenode01 ~]# tail -5 /etc/hosts 192.168.0.220 namenode01 192.168.0.221 namenode02 192.168.0.222 datanode01 192.168.0.223 datanode02 192.168.0.224 datanode03
在5台机器上创建hadoop用户，并设置密码是hadoop，这里只以naemenode01为例子
[root@namenode01 ~]# useradd hadoop [root@namenode01 ~]# passwd hadoop Changing password for user hadoop. New password: BAD PASSWORD: The password is shorter than 8 characters Retype new password: passwd: all authentication tokens updated successfully.
配置5台机器hadoop用户之间互相免密码ssh登录
#namenode01的操作 [root@namenode01 ~]# su - hadoop [hadoop@namenode01 ~]$ ssh-keygen Generating public/private rsa key pair. Enter file in which to save the key (/home/hadoop/.ssh/id_rsa): Created directory '/home/hadoop/.ssh'. Enter passphrase (empty for no passphrase): Enter same passphrase again: Your identification has been saved in /home/hadoop/.ssh/id_rsa. Your public key has been saved in /home/hadoop/.ssh/id_rsa.pub. The key fingerprint is: 1c:7e:89:9d:14:9a:10:fc:69:1e:11:3d:6d:18:a5:01 hadoop@namenode01 The key's randomart p_w_picpath is: +--[ RSA 2048]----+ | .o.E++=. | | ...o++o | | .+ooo | | o== o | | oS.= | | .. | | | | | | | +-----------------+ [hadoop@namenode01 ~]$ ssh-copy-id -i ~/.ssh/id_rsa.pub namenode01 [hadoop@namenode01 ~]$ ssh-copy-id -i ~/.ssh/id_rsa.pub namenode02 [hadoop@namenode01 ~]$ ssh-copy-id -i ~/.ssh/id_rsa.pub datanode01 [hadoop@namenode01 ~]$ ssh-copy-id -i ~/.ssh/id_rsa.pub datanode02 [hadoop@namenode01 ~]$ ssh-copy-id -i ~/.ssh/id_rsa.pub datanode03 #验证结果 [hadoop@namenode01 ~]$ ssh namenode01 hostname namenode01 [hadoop@namenode01 ~]$ ssh namenode02 hostname namenode02 [hadoop@namenode01 ~]$ ssh datanode01 hostname datanode01 [hadoop@namenode01 ~]$ ssh datanode02 hostname datanode02 [hadoop@namenode01 ~]$ ssh datanode03 hostname datanode03 #在namenode02上操作 [root@namenode02 ~]# su - hadoop [hadoop@namenode02 ~]$ ssh-keygen Generating public/private rsa key pair. Enter file in which to save the key (/home/hadoop/.ssh/id_rsa): Enter passphrase (empty for no passphrase): Enter same passphrase again: Your identification has been saved in /home/hadoop/.ssh/id_rsa. Your public key has been saved in /home/hadoop/.ssh/id_rsa.pub. The key fingerprint is: a9:f5:0d:cb:c9:88:7b:71:f5:71:d8:a9:23:c6:85:6a hadoop@namenode02 The key's randomart p_w_picpath is: +--[ RSA 2048]----+ | | | | | . o.| | . ...o.o| | S +....o | | +.E.O o. | | o ooB o . | | .. | | .. | +-----------------+ [hadoop@namenode02 ~]$ ssh-copy-id -i ~/.ssh/id_rsa.pub namenode01 [hadoop@namenode02 ~]$ ssh-copy-id -i ~/.ssh/id_rsa.pub namenode02 [hadoop@namenode02 ~]$ ssh-copy-id -i ~/.ssh/id_rsa.pub datanode01 [hadoop@namenode02 ~]$ ssh-copy-id -i ~/.ssh/id_rsa.pub datanode02 [hadoop@namenode02 ~]$ ssh-copy-id -i ~/.ssh/id_rsa.pub datanode03 #验证结果 [hadoop@namenode02 ~]$ ssh namenode01 hostname namenode01 [hadoop@namenode02 ~]$ ssh namenode02 hostname namenode02 [hadoop@namenode02 ~]$ ssh datanode01 hostname datanode01 [hadoop@namenode02 ~]$ ssh datanode02 hostname datanode02 [hadoop@namenode02 ~]$ ssh datanode03 hostname datanode03 #在datanode01上操作 [root@datanode01 ~]# su - hadoop [hadoop@datanode01 ~]$ ssh-keygen Generating public/private rsa key pair. Enter file in which to save the key (/home/hadoop/.ssh/id_rsa): Enter passphrase (empty for no passphrase): Enter same passphrase again: Your identification has been saved in /home/hadoop/.ssh/id_rsa. Your public key has been saved in /home/hadoop/.ssh/id_rsa.pub. The key fingerprint is: 48:72:20:69:64:e7:81:b7:03:64:41:5e:fa:88:db:5e hadoop@datanode01 The key's randomart p_w_picpath is: +--[ RSA 2048]----+ | +O+= | | +=*.o | | .ooo.o | | . oo+ . | |. . ... S | | o | |. . E | | . . | | . | +-----------------+ [hadoop@datanode01 ~]$ ssh-copy-id -i ~/.ssh/id_rsa.pub namenode01 [hadoop@datanode01 ~]$ ssh-copy-id -i ~/.ssh/id_rsa.pub namenode02 [hadoop@datanode01 ~]$ ssh-copy-id -i ~/.ssh/id_rsa.pub datanode01 [hadoop@datanode01 ~]$ ssh-copy-id -i ~/.ssh/id_rsa.pub datanode02 [hadoop@datanode01 ~]$ ssh-copy-id -i ~/.ssh/id_rsa.pub datanode03 #验证结果 [hadoop@datanode01 ~]$ ssh namenode01 hostname namenode01 [hadoop@datanode01 ~]$ ssh namenode02 hostname namenode02 [hadoop@datanode01 ~]$ ssh datanode01 hostname datanode01 [hadoop@datanode01 ~]$ ssh datanode02 hostname datanode02 [hadoop@datanode01 ~]$ ssh datanode03 hostname datanode03 #datanode02上操作 [hadoop@datanode02 ~]$ ssh-keygen Generating public/private rsa key pair. Enter file in which to save the key (/home/hadoop/.ssh/id_rsa): Enter passphrase (empty for no passphrase): Enter same passphrase again: Your identification has been saved in /home/hadoop/.ssh/id_rsa. Your public key has been saved in /home/hadoop/.ssh/id_rsa.pub. The key fingerprint is: 32:aa:88:fa:ce:ec:51:6f:de:f4:06:c9:4e:9c:10:31 hadoop@datanode02 The key's randomart p_w_picpath is: +--[ RSA 2048]----+ | E. | | .. | | . | | . | | . o+So | | . o oB | | . . oo.. | |.+ o o o... | |=+B . ... | +-----------------+ [hadoop@datanode02 ~]$ ssh-copy-id -i ~/.ssh/id_rsa.pub namenode01 [hadoop@datanode02 ~]$ ssh-copy-id -i ~/.ssh/id_rsa.pub namenode02 [hadoop@datanode02 ~]$ ssh-copy-id -i ~/.ssh/id_rsa.pub datanode01 [hadoop@datanode02 ~]$ ssh-copy-id -i ~/.ssh/id_rsa.pub datanode02 [hadoop@datanode02 ~]$ ssh-copy-id -i ~/.ssh/id_rsa.pub datanode03 #验证结果 [hadoop@datanode02 ~]$ ssh namenode01 hostname namenode01 [hadoop@datanode02 ~]$ ssh namenode02 hostname namenode02 [hadoop@datanode02 ~]$ ssh datanode01 hostname datanode01 [hadoop@datanode02 ~]$ ssh datanode02 hostname datanode02 [hadoop@datanode02 ~]$ ssh datanode03 hostname datanode03 #datanode03上操作 [root@datanode03 ~]# su - hadoop [hadoop@datanode03 ~]$ ssh-keygen Generating public/private rsa key pair. Enter file in which to save the key (/home/hadoop/.ssh/id_rsa): Enter passphrase (empty for no passphrase): Enter same passphrase again: Your identification has been saved in /home/hadoop/.ssh/id_rsa. Your public key has been saved in /home/hadoop/.ssh/id_rsa.pub. The key fingerprint is: f3:f3:3c:85:61:c6:e4:82:58:10:1f:d8:bf:71:89:b4 hadoop@datanode03 The key's randomart p_w_picpath is: +--[ RSA 2048]----+ | o=. | | ..o.. . | | o.+ * . | | . . E O | | S B o | | o. . . | | o . | | +. | | o. | +-----------------+ [hadoop@datanode03 ~]$ ssh-copy-id -i ~/.ssh/id_rsa.pub namenode01 [hadoop@datanode03 ~]$ ssh-copy-id -i ~/.ssh/id_rsa.pub namenode02 [hadoop@datanode03 ~]$ ssh-copy-id -i ~/.ssh/id_rsa.pub datanode01 [hadoop@datanode03 ~]$ ssh-copy-id -i ~/.ssh/id_rsa.pub datanode02 [hadoop@datanode03 ~]$ ssh-copy-id -i ~/.ssh/id_rsa.pub datanode03 #验证结果 [hadoop@datanode03 ~]$ ssh namenode01 hostname namenode01 [hadoop@datanode03 ~]$ ssh namenode02 hostname namenode02 [hadoop@datanode03 ~]$ ssh datanode01 hostname datanode01 [hadoop@datanode03 ~]$ ssh datanode02 hostname datanode02 [hadoop@datanode03 ~]$ ssh datanode03 hostname datanode03
三、安装jdk环境
[root@namenode01 ~]# wget http://download.oracle.com/otn-pub/java/jdk/8u74-b02/jdk-8u74-linux-x64.tar.gz?AuthParam=1461828883_648d68bc6c7b0dfd253a6332a5871e06 [root@namenode01 ~]# tar xf jdk-8u74-linux-x64.tar.gz -C /usr/local/ #配置环境变量配置文件 [root@namenode01 ~]# cat /etc/profile.d/java.sh JAVA_HOME=/usr/local/jdk1.8.0_74 JAVA_BIN=/usr/local/jdk1.8.0_74/bin JRE_HOME=/usr/local/jdk1.8.0_74/jre PATH=$PATH:/usr/local/jdk1.8.0_74/bin:/usr/local/jdk1.8.0_74/jre/bin CLASSPATH=/usr/local/jdk1.8.0_74/jre/lib:/usr/local/jdk1.8.0_74/lib:/usr/local/jdk1.8.0_74/jre/lib/charsets.jar export JAVA_HOME PATH #加载环境变量 [root@namenode01 ~]# source /etc/profile.d/java.sh [root@namenode01 ~]# which java /usr/local/jdk1.8.0_74/bin/java #测试结果 [root@namenode01 ~]# java -version java version "1.8.0_74" Java(TM) SE Runtime Environment (build 1.8.0_74-b02) Java HotSpot(TM) 64-Bit Server VM (build 25.74-b02, mixed mode) #将环境变量配置文件和二进制包复制到其余的4台机器上 [root@namenode01 ~]# scp -r /usr/local/jdk1.8.0_74 namenode02:/usr/local/ [root@namenode01 ~]# scp -r /usr/local/jdk1.8.0_74 datanode01:/usr/local/ [root@namenode01 ~]# scp -r /usr/local/jdk1.8.0_74 datanode02:/usr/local/ [root@namenode01 ~]# scp -r /usr/local/jdk1.8.0_74 datanode03:/usr/local/ [root@namenode01 ~]# scp /etc/profile.d/java.sh namenode02:/etc/profile.d/ 100% 308 0.3KB/s 00:00 [root@namenode01 ~]# scp /etc/profile.d/java.sh datanode01:/etc/profile.d/ 100% 308 0.3KB/s 00:00 [root@namenode01 ~]# scp /etc/profile.d/java.sh datanode02:/etc/profile.d/ 100% 308 0.3KB/s 00:00 [root@namenode01 ~]# scp /etc/profile.d/java.sh datanode03:/etc/profile.d/ #测试结果，以namenode02为例子 [root@namenode02 ~]# source /etc/profile.d/java.sh [root@namenode02 ~]# java -version java version "1.8.0_74" Java(TM) SE Runtime Environment (build 1.8.0_74-b02) Java HotSpot(TM) 64-Bit Server VM (build 25.74-b02, mixed mode)
四、安装hadoop
#下载hadoop软件 [root@namenode01 ~]# wget http://apache.fayea.com/hadoop/common/hadoop-2.5.2/hadoop-2.5.2.tar.gz [root@namenode01 ~]# tar xf hadoop-2.5.2.tar.gz -C /usr/local/ [root@namenode01 ~]# chown -R hadoop.hadoop /usr/local/hadoop-2.5.2/ [root@namenode01 ~]# ln -sv /usr/local/hadoop-2.5.2/ /usr/local/hadoop ‘/usr/local/hadoop’ -> ‘/usr/local/hadoop-2.5.2/’ #添加hadoop的环境变量配置文件 [root@namenode01 ~]# cat /etc/profile.d/hadoop.sh HADOOP_HOME=/usr/local/hadoop PATH=$HADOOP_HOME/bin:$PATH export HADOOP_BASE PATH #切换到hadoop用户下，检查jdk环境是否正常 [root@namenode01 ~]# su - hadoop Last login: Thu Apr 28 15:17:16 CST 2016 from datanode01 on pts/1 [hadoop@namenode01 ~]$ java -version java version "1.8.0_74" Java(TM) SE Runtime Environment (build 1.8.0_74-b02) Java HotSpot(TM) 64-Bit Server VM (build 25.74-b02, mixed mode) #开始编辑hadoop的配置文件 #编辑hadoop的环境变量文件 [hadoop@namenode01 ~]$ vim /usr/local/hadoop/etc/hadoop/hadoop-env.sh export JAVA_HOME=/usr/local/jdk1.8.0_74 #修改JAVA_HOME变量的值 #编辑core-site.xml文件 [hadoop@namenode01 ~]$ vim /usr/local/hadoop/etc/hadoop/core-site.xml#编辑hdfs-site.xml文件 [hadoop@namenode01 ~]$ vim /usr/local/hadoop/etc/hadoop/hdfs-site.xml hadoop.tmp.dir /home/hadoop/temp fs.defaultFS hdfs://mycluster io.file.buffers.size 131072 #编辑yarn-site.xml文件 [hadoop@namenode01 ~]$ vim /usr/local/hadoop/etc/hadoop/yarn-site.xml dfs.namenode.name.dir /data/hdfs/dfs/name #namenode目录dfs.datanode.data.dir /data/hdfs/data #datanode目录dfs.permissions false dfs.nameservices mycluster #和core-site.xml文件中保持一致dfs.ha.namenodes.mycluster namenode01,namenode02 #namenode节点dfs.namenode.rpc-address.mycluster.namenode01 namenode01:8020 dfs.namenode.rpc-address.mycluster.namenode02 namenode02:8020 dfs.namenode.http-address.mycluster.namenode01 namenode01:50070 dfs.namenode.http-address.mycluster.namenode02 namenode02:50070 #namenode往journalnode写edits文件，填写所有的journalnode节点 dfs.namenode.shared.edits.dir qjournal://namenode01:8485;namenode02:8485;datanode01:8485;datanode02:8485;datanode03:8485/mycluster dfs.journalnode.edits.dir /data/hdfs/journal #journalnode目录dfs.client.faliover.proxy.provider.mycluster org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider dfs.ha.fening.methods sshfence #通过什么方法进行fence操作dfs.ha.fencing.ssh.private-key-files /home/hadoop/.ssh/id_rsa #主机之间的认证dfs.ha.fencing.ssh.connect-timeout 6000 dfs.ha.automatic-failover.enabled false #关闭主备自动切换，后面通过zookeeper来切换dfs.replication 3 #replicaion的数量，默认为3分，少于这个数量会报错dfs.webhdfs.enabled true dfs.permissions false #编辑mapred-site.xml文件 [hadoop@namenode01 ~]$ cp /usr/local/hadoop/etc/hadoop/mapred-site.xml.template /usr/local/hadoop/etc/hadoop/mapred-site.xml [hadoop@namenode01 ~]$ vim /usr/local/hadoop/etc/hadoop/mapred-site.xml yarn.nodemanager.aux-service mapreduce_shuffle yarn.resourcemanager.address namenode01:8032 yarn.resourcemanager.scheduler.address namenode01:8030 yarn.resourcemanager.resource-tracker.address namenode01:8031 yarn.resourcemanager.admin.address namenode01:8033 yarn.resourcemanager.webapp.address namenode01:8033 yarn.nodemanager.resource.memory-mb 15360 #编辑slaves配置文件 [hadoop@namenode01 ~]$ cat /usr/local/hadoop/etc/hadoop/slaves datanode01 datanode02 datanode03 #在namenodee01上切换到root用户下，创建相应的目录 [root@namenode01 ~]# mkdir /data/hdfs [root@namenode01 ~]# chown hadoop.hadoop /data/hdfs/ #将hadoop用户的环境变量配置文件复制到其余4台机器上 [root@namenode01 ~]# scp /etc/profile.d/hadoop.sh namenode02:/etc/profile.d/ [root@namenode01 ~]# scp /etc/profile.d/hadoop.sh datanode01:/etc/profile.d/ [root@namenode01 ~]# scp /etc/profile.d/hadoop.sh datanode02:/etc/profile.d/ [root@namenode01 ~]# scp /etc/profile.d/hadoop.sh datanode03:/etc/profile.d/ #复制hadoop安装文件到其余的4台机器上 [root@namenode01 ~]# scp -r /usr/local/hadoop-2.5.2/ namenode02:/usr/local/ [root@namenode01 ~]# scp -r /usr/local/hadoop-2.5.2/ datanode01:/usr/local/ [root@namenode01 ~]# scp -r /usr/local/hadoop-2.5.2/ datanode02:/usr/local/ [root@namenode01 ~]# scp -r /usr/local/hadoop-2.5.2/ datanode03:/usr/local/ #修改目录的权限，以namenode02为例 [root@namenode02 ~]# chown -R hadoop.hadoop /usr/local/hadoop-2.5.2/ [root@namenode02 ~]# ln -sv /usr/local/hadoop-2.5.2/ /usr/local/hadoop ‘/usr/local/hadoop’ -> ‘/usr/local/hadoop-2.5.2/’ [root@namenode02 ~]# ll /usr/local |grep hadoop lrwxrwxrwx 1 root root 24 Apr 28 17:19 hadoop -> /usr/local/hadoop-2.5.2/ drwxr-xr-x 9 hadoop hadoop 139 Apr 28 17:16 hadoop-2.5.2 #创建目录 [root@namenode02 ~]# mkdir /data/hdfs [root@namenode02 ~]# chown -R hadoop.hadoop /data/hdfs/ #检查jdk环境 [root@namenode02 ~]# su - hadoop Last login: Thu Apr 28 15:12:24 CST 2016 on pts/0 [hadoop@namenode02 ~]$ java -version java version "1.8.0_74" Java(TM) SE Runtime Environment (build 1.8.0_74-b02) Java HotSpot(TM) 64-Bit Server VM (build 25.74-b02, mixed mode) [hadoop@namenode02 ~]$ which hadoop /usr/local/hadoop/bin/hadoop mapreduce.framework.name yarn mapredue.jobtracker.http.address namenode01:50030 mapreduce.jobhistory.address namenode01:10020 mapreduce.jobhistory.webapp.address namenode01:19888
五、启动hadoop
#在所有服务器执行hadoop-daemon.sh start journalnode，要在hadoop用户下执行 #只贴出namenoe01的过程 [hadoop@namenode01 ~]$ /usr/local/hadoop/sbin/hadoop-daemon.sh start journalnode starting journalnode, logging to /usr/local/hadoop-2.5.2/logs/hadoop-hadoop-journalnode-namenode01.out #在namenode01上执行 [hadoop@namenode01 ~]$ hadoop namenode -format #说明：第一次启动的时候需要执行hadoop namenoe -format，非首次启动则运行hdfs namenode -initializeSharedEdits 这里需要解释一下。 首次启动是指安装的时候就配置了HA，hdfs还没有数据。这时需要用format命令把namenode1格式化。 非首次启动是指原来有一个没有配置HA的HDFS已经在运行了，HDFS上已经有数据了，现在需要配置HA而加入一台namenode。这时候namenode1通过initializeSharedEdits命令来初始化journalnode，把edits文件共享到journalnode上。 #开始启动namenode节点 #在namenode01上执行 [hadoop@namenode01 ~]$ /usr/local/hadoop/sbin/hadoop-daemon.sh start namenode #在namenode02上执行 [hadoop@namenode02 ~]$ /usr/local/hadoop/sbin/hadoop-daemon.sh start namenode-bootstrapStandby #启动datanode节点 [hadoop@datanode01 ~]$ /usr/local/hadoop/sbin/hadoop-daemon.sh start datanode [hadoop@datanode02 ~]$ /usr/local/hadoop/sbin/hadoop-daemon.sh start datanode [hadoop@datanode03 ~]$ /usr/local/hadoop/sbin/hadoop-daemon.sh start datanode #验证结果 #查看namenode01结果 [hadoop@namenode01 ~]$ jps 2467 NameNode #namenode角色 2270 JournalNode 2702 Jps #查看namenode02的结果 [hadoop@namenode01 ~]$ ssh namenode02 jps 2264 JournalNode 2680 Jps #查看datanode01的结果 [hadoop@namenode01 ~]$ ssh datanode01 jps 2466 Jps 2358 DataNode #datanode角色 2267 JournalNode #查看datannode02的结果 [hadoop@namenode01 ~]$ ssh datanode02 jps 2691 Jps 2612 DataNode #datanode角色 2265 JournalNode #查看datanode03的结果 [hadoop@namenode01 ~]$ ssh datanode03 jps 11987 DataNode #datanode角色 12067 Jps 11895 JournalNode
六、zookeeper高可用环境搭建
#下载软件，使用root用户的身份去安装
[root@namenode01 ~]# wget http://apache.fayea.com/zookeeper/zookeeper-3.4.6/zookeeper-3.4.6.tar.gz
#解压文件/usr/local下，并修改权限
[root@namenode01 ~]# tar xf zookeeper-3.4.6.tar.gz -C /usr/local/
[root@namenode01 ~]# chown -R hadoop.hadoop /usr/local/zookeeper-3.4.6/
#修改zookeeper配置文件
[root@namenode01 ~]# cp /usr/local/zookeeper-3.4.6/conf/zoo_sample.cfg /usr/local/zookeeper-3.4.6/conf/zoo.cfg
[root@namenode01 ~]# egrep -v "^#|^$" /usr/local/zookeeper-3.4.6/conf/zoo.cfg
tickTime=2000
initLimit=10
syncLimit=5
dataDir=/data/hdfs/zookeeper/data
dataLogDir=/data/hdfs/zookeeper/logs
clientPort=2181
server.1=namenode01:2888:3888
server.2=namenode02:2888:3888
server.3=datanode01:2888:3888
server.4=datanode02:2888:3888
server.5=datanode03:2888:3888
#配置zookeeper环境变量
[root@namenode01 ~]# cat /etc/profile.d/zookeeper.sh
export ZOOKEEPER_HOME=/usr/local/zookeeper-3.4.6
export PATH=$PATH:$ZOOKEEPER_HOME/bin
#在namenode01上创建相关的目录和myid文件
[root@namenode01 ~]# mkdir -p /data/hdfs/zookeeper/{data,logs}
[root@namenode01 ~]# tree /data/hdfs/zookeeper
/data/hdfs/zookeeper
├── data
└── logs
[root@namenode01 ~]# echo "1" >/data/hdfs/zookeeper/data/myid
[root@namenode01 ~]# cat /data/hdfs/zookeeper/data/myid
1
[root@namenode01 ~]# chown -R hadoop.hadoop /data/hdfs/zookeeper
[root@namenode01 ~]# ll /data/hdfs/
total 0
drwxrwxr-x 3 hadoop hadoop 17 Apr 29 10:05 dfs
drwxrwxr-x 3 hadoop hadoop 22 Apr 29 10:05 journal
drwxr-xr-x 4 hadoop hadoop 28 Apr 29 10:42 zookeeper
#将zookeeper安装目录和环境变量配置文件复制到其余的几台机器上，以复制到namenode02为例
[root@namenode01 ~]# scp -r /usr/local/zookeeper-3.4.6 namenode02:/usr/local/
[root@namenode01 ~]# scp /etc/profile.d/zookeeper.sh namenode02:/etc/profile.d/
#namenode02上创建相关的目录和文件，并修改相应目录的权限
[root@namenode02 ~]# chown -R hadoop.hadoop /usr/local/zookeeper-3.4.6/
[root@namenode02 ~]# ll /usr/local/ |grep zook
drwxr-xr-x 10 hadoop hadoop 4096 Apr 29 10:47 zookeeper-3.4.6
[root@namenode02 ~]# mkdir -p /data/hdfs/zookeeper/{data,logs}
[root@namenode02 ~]# echo "2" >/data/hdfs/zookeeper/data/myid
[root@namenode02 ~]# cat /data/hdfs/zookeeper/data/myid
2
[root@namenode02 ~]# chown -R hadoop.hadoop /data/hdfs/zookeeper
[root@namenode02 ~]# ll /data/hdfs/ |grep zook
drwxr-xr-x 4 hadoop hadoop 28 Apr 29 10:50 zookeeper
#在datanode01上创建相关的目录和文件，并修改相应目录的权限
[root@datanode01 ~]# chown -R hadoop.hadoop /usr/local/zookeeper-3.4.6/
[root@datanode01 ~]# ll /usr/local/ |grep zook
drwxr-xr-x 10 hadoop hadoop 4096 Apr 29 10:48 zookeeper-3.4.6
[root@datanode01 ~]# mkdir -p /data/hdfs/zookeeper/{data,logs}
[root@datanode01 ~]# echo "3" >/data/hdfs/zookeeper/data/myid
[root@datanode01 ~]# cat /data/hdfs/zookeeper/data/myid
3
[root@datanode01 ~]# chown -R hadoop.hadoop /data/hdfs/zookeeper
[root@datanode01 ~]# ll /data/hdfs/ |grep zook
drwxr-xr-x 4 hadoop hadoop 28 Apr 29 10:54 zookeeper
#在datanode02上创建相关的目录和文件，并修改相应目录的权限
[root@datanode02 ~]# chown -R hadoop.hadoop /usr/local/zookeeper-3.4.6/
[root@datanode02 ~]# ll /usr/local/ |grep zook
drwxr-xr-x 10 hadoop hadoop 4096 Apr 29 10:49 zookeeper-3.4.6
[root@datanode02 ~]# mkdir -p /data/hdfs/zookeeper/{data,logs}
[root@datanode02 ~]# echo "4" >/data/hdfs/zookeeper/data/myid
[root@datanode02 ~]# cat /data/hdfs/zookeeper/data/myid
4
[root@datanode02 ~]# chown -R hadoop.hadoop /data/hdfs/zookeeper
[root@datanode02 ~]# ll /data/hdfs/ |grep zook
drwxr-xr-x 4 hadoop hadoop 28 Apr 29 10:56 zookeeper
#在datanode03上创建相关的目录和文件，并修改相应目录的权限
[root@datanode03 ~]# chown -R hadoop.hadoop /usr/local/zookeeper-3.4.6/
[root@datanode03 ~]# ll /usr/local/ |grep zook
drwxr-xr-x 10 hadoop hadoop 4096 Apr 29 18:49 zookeeper-3.4.6
[root@datanode03 ~]# mkdir -p /data/hdfs/zookeeper/{data,logs}
[root@datanode03 ~]# echo "5" >/data/hdfs/zookeeper/data/myid
[root@datanode03 ~]# cat /data/hdfs/zookeeper/data/myid
5
[root@datanode03 ~]# chown -R hadoop.hadoop /data/hdfs/zookeeper
[root@datanode03 ~]# ll /data/hdfs/ |grep zook
drwxr-xr-x 4 hadoop hadoop 28 Apr 29 18:57 zookeeper
#在5台机器上已hadoop的身份穷zookeeper
#namenode01上启动
[hadoop@namenode01 ~]$ /usr/local/zookeeper-3.4.6/bin/zkServer.sh start
JMX enabled by default
Using config: /usr/local/zookeeper-3.4.6/bin/../conf/zoo.cfg
Starting zookeeper ... STARTED
#namenode02上启动
[hadoop@namenode02 ~]$ /usr/local/zookeeper-3.4.6/bin/zkServer.sh start
JMX enabled by default
Using config: /usr/local/zookeeper-3.4.6/bin/../conf/zoo.cfg
Starting zookeeper ... STARTED
#datanode01上启动
[hadoop@datanode01 ~]$ /usr/local/zookeeper-3.4.6/bin/zkServer.sh start
JMX enabled by default
Using config: /usr/local/zookeeper-3.4.6/bin/../conf/zoo.cfg
Starting zookeeper ... STARTED
#datanode02上启动
[hadoop@datanode02 ~]$ /usr/local/zookeeper-3.4.6/bin/zkServer.sh start
JMX enabled by default
Using config: /usr/local/zookeeper-3.4.6/bin/../conf/zoo.cfg
Starting zookeeper ... STARTED
#datanode03上启动
[hadoop@datanode03 ~]$ /usr/local/zookeeper-3.4.6/bin/zkServer.sh start
JMX enabled by default
Using config: /usr/local/zookeeper-3.4.6/bin/../conf/zoo.cfg
Starting zookeeper ... STARTED
#查看namenode01的结果
[hadoop@namenode01 ~]$ jps
2467 NameNode
3348 QuorumPeerMain #zookeeper进程
3483 Jps
2270 JournalNode
[hadoop@namenode01 ~]$ zkServer.sh status
JMX enabled by default
Using config: /usr/local/zookeeper-3.4.6/bin/../conf/zoo.cfg
Mode: follower
#查看namenode02的结果
[hadoop@namenode01 ~]$ ssh namenode02 jps
2264 JournalNode
2888 QuorumPeerMain
2936 Jps
[hadoop@namenode01 ~]$ ssh namenode02 'zkServer.sh status'
JMX enabled by default
Using config: /usr/local/zookeeper-3.4.6/bin/../conf/zoo.cfg
Mode: follower
#查看datanode01的结果
[hadoop@namenode01 ~]$ ssh datanode01 jps
2881 QuorumPeerMain
2358 DataNode
2267 JournalNode
2955 Jps
[hadoop@namenode01 ~]$ ssh datanode01 'zkServer.sh status'
JMX enabled by default
Using config: /usr/local/zookeeper-3.4.6/bin/../conf/zoo.cfg
Mode: follower
#查看datanode02的结果
[hadoop@namenode01 ~]$ ssh datanode02 jps
2849 QuorumPeerMain
2612 DataNode
2885 Jps
2265 JournalNode
[hadoop@namenode01 ~]$ ssh datanode02 'zkServer.sh status'
JMX enabled by default
Using config: /usr/local/zookeeper-3.4.6/bin/../conf/zoo.cfg
Mode: follower
#查看datanode03的结果
[hadoop@namenode01 ~]$ ssh datanode03 jps
11987 DataNode
12276 Jps
12213 QuorumPeerMain
11895 JournalNode
[hadoop@namenode01 ~]$ ssh datanode03 'zkServer.sh status'
JMX enabled by default
Using config: /usr/local/zookeeper-3.4.6/bin/../conf/zoo.cfg
Mode: leader