hadoop-3.0.0-alpha4安装部署过程

关闭防火墙 
#systemctl stop firewalld.service #停止firewall 
#systemctl disable firewalld.service #禁止firewall开机启动

关闭selinux 
#vi /etc/selinux/config

SELINUX=disabled
SELINUXTYPE=targeted

安装jdk1.8:
#cd /usr
#tar zxvf jdk-8u131-linux-x64.tar.gz

解压出来的目录改名为java

vi /etc/profile
export JAVA_HOME=/usr/java
export JRE_HOME=${JAVA_HOME}/jre
export CLASSPATH=.:${JAVA_HOME}/lib:${JRE_HOME}/lib
export CLASSPATH=$CLASSPATH:$JAVA_HOME/lib/dt.jar:$HIVE_HOME/lib:$JAVA_HOME/lib/tools.jar
export PATH=${JAVA_HOME}/bin:$PATH

设置服务器主从无密码登录：
[study@master ~]$ ssh-keygen -t rsa #产生公钥私钥
Generating public/private rsa key pair.
Enter file in which to save the key (/home/study/.ssh/id_rsa): 
Created directory ‘/home/study/.ssh‘.
Enter passphrase (empty for no passphrase): 
Enter same passphrase again: 
Your identification has been saved in /home/study/.ssh/id_rsa.
Your public key has been saved in /home/study/.ssh/id_rsa.pub.
The key fingerprint is:
0e:66:68:14:31:d3:3b:92:d0:ce:c3:40:03:15:b7:87 study@master
The key‘s randomart image is:
+--[ RSA 2048]----+
|.+=o*o |
| oo.*. |
| *E... |
| .Boo |
| oo+.S |
| . o o |
| . |
| |
| |
+-----------------+
[study@master ~]$ cd .ssh
[study@master .ssh]$ pwd
/home/study/.ssh
[study@master .ssh]$ ls
id_rsa id_rsa.pub #前者私钥 ,后者公钥, 私钥存放本地.ssh目录, 公钥发送给申请无密码登录的机器并保存到.ssh/authorized_keys
[study@master .ssh]$ cp id_rsa.pub authorized_keys #这里发送给自己的目录相当于可以无密码登录自己，便于以后克隆时直接实现与其他机器的无密码登录

[root@master etc]# cat hostname #这里修改主机名
master
[root@master etc]# cat hosts
127.0.0.1 localhost localhost.localdomain localhost4 localhost4.localdomain4
::1 localhost localhost.localdomain localhost6 localhost6.localdomain6
192.168.144.241 master #为了便于克隆时不需要修改，不在127.0.0.1处进行设置
192.168.144.242 slave1
192.168.144.243 slave2

[study@master hadoop]$ pwd
/home/study/hadoop-3.0.0-alpha4/etc/hadoop
vi hadoop-env.sh
export JAVA_HOME=/usr/java
vi core-site.xml
<configuration>
<property>  
<name>fs.defaultFS</name>  
<value>hdfs://master:9000</value>  
</property>

<property>  
<name>hadoop.tmp.dir</name>  
<value>/home/study/hadoop-3.0.0-alpha4/hadoopdata</value>  
</property>
</configuration>
vi hdfs-site.xml
<configuration>
<property>
<name>dfs.replication</name>
<value>2</value>
</property>
<property>
<name>dfs.name.dir</name>
<value>/home/study/hadoop-3.0.0-alpha4/hdfs/name</value>
</property>
<property>
<name>dfs.data.dir</name>
<value>/home/study/hadoop-3.0.0-alpha4/hdfs/data</value>
</property>

</configuration>

vi mapred-site.xml
<property>
<name>mapred.job.tracker</name>
<value>http://master:9001</value>
</property>

<property>  
<name>mapreduce.framework.name</name>  
<value>yarn</value>  
</property>

<property>  
<name>mapreduce.application.classpath</name>  
<value>  
/home/study/hadoop-3.0.0-alpha4/etc/hadoop,  
/home/study/hadoop-3.0.0-alpha4/share/hadoop/common/*,  
/home/study/hadoop-3.0.0-alpha4/share/hadoop/common/lib/*,  
/home/study/hadoop-3.0.0-alpha4/share/hadoop/hdfs/*,  
/home/study/hadoop-3.0.0-alpha4/share/hadoop/hdfs/lib/*,  
/home/study/hadoop-3.0.0-alpha4/share/hadoop/mapreduce/*,  
/home/study/hadoop-3.0.0-alpha4/share/hadoop/mapreduce/lib/*,  
/home/study/hadoop-3.0.0-alpha4/share/hadoop/yarn/*,  
/home/study/hadoop-3.0.0-alpha4/share/hadoop/yarn/lib/*  
</value>  
</property>

vi yarn-site.xml
<configuration>

<!-- Site specific YARN configuration properties -->
<property>
<name>yarn.nodemanager.aux-services</name>
<value>mapreduce_shuffle</value>
</property>
<property>
<name>yarn.resourcemanager.address</name>
<value>master:8032</value>
</property>
<property>
<name>yarn.resourcemanager.scheduler.address</name>
<value>master:8030</value>
</property>
<property>
<name>yarn.resourcemanager.resource-tracker.address</name>
<value>master:8031</value>
</property>
<property>
<name>yarn.resourcemanager.admin.address</name>
<value>master:8033</value>
</property>
<property>
<name>yarn.resourcemanager.webapp.address</name>
<value>master:8088</value>
</property>
</configuration>  
vi workers #hadoop3以下版本在slaves文件里
slave1
slave2
vi .bash_profile
export HADOOP_HOME=/home/study/hadoop-3.0.0-alpha4
PATH=$PATH:$HOME/.local/bin:$HOME/bin:$HADOOP_HOME/bin:$HADOOP_HOME/sbin
关机 
调小虚拟机内存为1G或以下，链接克隆2个节点
修改2台克隆机器主机名分别为slave1 slave2
[root@master etc]# cat hostname
slave1
修改ip :
[root@master network-scripts]# pwd
/etc/sysconfig/network-scripts
[root@master network-scripts]# cat ifcfg-ens33 
TYPE=Ethernet
IPADDR="192.168.144.242" #修改ip
NETMASK="255.255.255.0"
GATEWAY="192.168.144.2"
BROADCAST="192.168.144.255"
#BOOTPROTO=dhcp
DEFROUTE=yes
PEERDNS=yes
PEERROUTES=yes
IPV4_FAILURE_FATAL=no
IPV6INIT=yes
IPV6_AUTOCONF=yes
IPV6_DEFROUTE=yes
IPV6_PEERDNS=yes
IPV6_PEERROUTES=yes
IPV6_FAILURE_FATAL=no
IPV6_ADDR_GEN_MODE=stable-privacy
NAME=ens33
UUID=6ab5ebe0-5379-4903-bd1c-dd820fab14d9
DEVICE=ens33
ONBOOT=yes

重启机器reboot
[study@master bin]$ pwd
/home/study/hadoop-3.0.0-alpha4/bin

./hdfs namenode -format #格式化 不然9000端口起不来

[study@master ~]$ start-all.sh
WARNING: Attempting to start all Apache Hadoop daemons as study in 10 seconds.
WARNING: This is not a recommended production deployment configuration.
WARNING: Use CTRL-C to abort.
Starting namenodes on [master]
Starting datanodes
Starting secondary namenodes [master]
Starting resourcemanager
Starting nodemanagers
[study@master ~]$ jps
8544 SecondaryNameNode
8326 NameNode
8758 ResourceManager
9071 Jps
[study@slave1 ~]$ jps
3432 DataNode
3673 Jps
3549 NodeManager
[study@slave2 ~]$ jps
3610 DataNode
3854 Jps
3727 NodeManager

打开web页面：

http://192.168.28.130:9870/