hadoop2.7.3完全分布式集群搭建

系统及软件配置：
Centos 7
jdk-8u131-linux-x64.tar.gz
hadoop2.7.3
节点：
spark1(192.168.6.137)
spark2(192.168.6.138)
spark3(192.168.6.139)

1.首先设置每个节点的静态IP地址

分别对应 192.168.6.137， 192.168.6.138， 192.168.6.139
设置方法在之前的博客已经设置，这里不在阐述。详细请看Vmware虚拟机设置静态IP地址

2.配置host

编辑spark1/etc/hosts，添加如下代码

192.168.6.137     spark1
192.168.6.138     spark2
192.168.6.139     spark3

3.jdk安装

利用SecureCRT对spark1上传jdk，解压下载的jdk1.8.0_131

tar -zxvf jdk-8u131-linux-x64.tar.gz -C /usr/localhost

spark1节点配置环境变量,vi /etc/profile

# jdk environment
alias cdha='cd /usr/local/hadoop-2.7.3/etc/hadoop'
export JAVA_HOME=/usr/local/jdk1.8.0_131
export JRE_HOME=${JAVA_HOME}/jre
export CLASSPATH=.:${JAVA_HOME}/lib:${JRE_HOME}/lib
export PATH=${JAVA_HOME}/bin:${JRE_HOME}/bin:$PATH

4.spark1节点分布式集群配置

修改hadoop-env.sh(目录/usr/local/hadoop-2.7.3/etc/hadoop)

export JAVA_HOME=/usr/local/jdk1.8.0_131

修改core-site.xml(目录/usr/local/hadoop-2.7.3/etc/hadoop)

<configuration>
    <property>
        <name>fs.default.name</name>
        <value>hdfs://spark1:9000</value>
    </property>
</configuration>

修改hdfs-site.xml(目录/usr/local/hadoop-2.7.3/etc/hadoop)

<configuration>
    <property>
        <name>dfs.name.dir</name>
        <value>/usr/local/data/namenode</value>
    </property>
    <property>
        <name>dfs.data.dir</name>
        <value>/usr/local/data/datanode</value>
    </property>
    <property>
        <name>dfs.tmp.dir</name>
        <value>/usr/local/data/tmp</value>
    </property>
    <property>
        <name>dfs.replication</name>
        <value>3</value>
    </property>
</configuration>

修改mapred-site.xml(目录/usr/local/hadoop-2.7.3/etc/hadoop)

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

修改yarn-site.xml(目录/usr/local/hadoop-2.7.3/etc/hadoop)

<configuration>
<!-- Site specific YARN configuration properties -->
    <property>
        <name>yarn.resourcemanager.hostname</name>
        <value>spark1</value>
    </property>
    <property>
        <name>yarn.nodemanager.aux-services</name>
        <value>mapreduce_shuffle</value>
    </property>
</configuration>

修改slaves(目录/usr/local/hadoop-2.7.3/etc/hadoop)

spark1
spark2
spark3

5.通过vmware对spark1整个系统进行复制

点击spark1虚拟机，右键-》管理-》克隆
克隆源选择=》虚拟机中的当前状态

克隆类型=》创建完整克隆

把spark1克隆，生成spark2和spark3

6.配置免密码登录本机及集群之间的机器

spark1

ssh-****** -t rsa
cat ~/.ssh/id_rsa.pub > ~/.ssh/authorized_keys

spark2

ssh-****** -t rsa
cat ~/.ssh/id_rsa.pub > ~/.ssh/authorized_keys

spark3

ssh-****** -t rsa
cat ~/.ssh/id_rsa.pub > ~/.ssh/authorized_keys

然后
spark1

ssh-copy-id -i spark2
ssh-copy-id -i spark3

spark2

ssh-copy-id -i spark1
ssh-copy-id -i spark3

spark3

ssh-copy-id -i spark1
ssh-copy-id -i spark2

7.启动hadoop集群

在spark1上格式化namenode

hdfs namenode -format

启动
start-dfs.sh

[root@spark1 hadoop]# jps
3345 Jps
3236 SecondaryNameNode
3078 DataNode
2952 NameNode

[root@spark2 hadoop]# jps
2025 Jps
1951 DataNode

[root@spark3 hadoop]# jps
1970 DataNode
2035 Jps

启动

start-yarn.sh

[root@spark1 hadoop]# jps
1840 ResourceManager
1521 DataNode
2289 Jps
2005 NodeManager
1658 SecondaryNameNode
1389 NameNode

[root@spark2 ~]# jps
1173 NodeManager
1063 DataNode
1319 Jps

[root@spark3 ~]# jps
1312 Jps
1176 NodeManager
1066 DataNode

7.通过网页可以观看资源情况