centos下hadoop2.6.0集群搭建详细过程

一 、centos集群环境配置

1.创建一个namenode节点，5个datanode节点

主机名	IP
namenodezsw	192.168.129.158
datanode1zsw	192.168.129.159
datanode2zsw	192.168.129.160
datanode3zsw	192.168.129.161
datanode4zsw	192.168.129.162
datanode5zsw	192.168.129.163

2.关闭防火墙，设置selinux为disabled

#service iptables stop

#chkconfig iptables off

设置selinux为disabled,如下图所示

#vim /etc/selinux/config



重启后生效，建议全部配置完成后再全部重启。

3.配置hosts文件

将各节点对应的主机名与IP地址记录在hosts文件中

vi /etc/hosts



4.配置java环境

本文所用java安装包为jdk-7u25-linux-x64.tar.gz(百度上各种版本的都有)

解压到/opt目录下

修改环境变量：

#vi /etc/profile

在文件末尾添加以下内容

export JAVA_HOME=/opt/jdk1.7.0_25

export JAR_HOME=/opt/jdk1.7.0_25/jre

export ClASSPATH=$JAVA_HOME/lib/tools.jar:$JAVA_HOME/lib/dt.jar:$JAR_HOME/lib

export PATH=$JAVA_HOME/bin:$PATH

保存后退出，执行

#source \etc\profile

查看java版本:

#java -version



显示上图结果说明配置成功

注意：使用source \etc\profile命令尽在本终端有效，重启后才全部生效

提示：namenode节点和datanode节点上述配置都相同

二、设置各节点间SSH无密码通信

在一个节点namenodezsw上操作

1.生成密钥对

#ssh-keygen -t rsa

按三次回车，结果如下图



2.将各个节点生成的公有密钥添加到authorized_keys

#cat .ssh/id_rsa.pub > .ssh/authorized_keys

#ssh 192.168.129.159 ssh-keygen -t rsa

#ssh 192.168.129.159 cat ~/.ssh/id_rsa.pub >>.ssh/authorized_keys

#ssh 192.168.129.160 ssh-keygen -t rsa

#ssh 192.168.129.160 cat ~/.ssh/id_rsa.pub >>.ssh/authorized_keys

#ssh 192.168.129.161 ssh-keygen -t rsa

#ssh 192.168.129.161 cat ~/.ssh/id_rsa.pub >>.ssh/authorized_keys

#ssh 192.168.129.162 ssh-keygen -t rsa

#ssh 192.168.129.162 cat ~/.ssh/id_rsa.pub >>.ssh/authorized_keys

#ssh 192.168.129.163 ssh-keygen -t rsa

#ssh 192.168.129.163 cat ~/.ssh/id_rsa.pub >>.ssh/authorized_keys

3.将authorized_keys文件传到各个节点

#scp /root/.ssh/authorized_keys root@192.168.129.159:/root/.ssh/authorized_keys

#scp /root/.ssh/authorized_keys root@192.168.129.160:/root/.ssh/authorized_keys

#scp /root/.ssh/authorized_keys root@192.168.129.161:/root/.ssh/authorized_keys

#scp /root/.ssh/authorized_keys root@192.168.129.162:/root/.ssh/authorized_keys

#scp /root/.ssh/authorized_keys root@192.168.129.163:/root/.ssh/authorized_keys

4.测试

#ssh 192.168.129.159 date

#ssh datanode1zsw date

1个namenode节点，5个datanode节点以此类推

两次ssh命令：

第一遍都需要输入yes，然后显示时间

第二遍则直接显示时间，说明配置成功



说明：每个节点上都要ssh命令其他的节点主机名和IP一下，检测是否可以

三、hadoop集群搭建

1.去hadoop官网或者百度下载hadoop-2.6.0-tar.gz，然后解压到namenode的/opt目录下

2.修改配置文件

#cd /opt/hadoop-2.6.0/etc/hadoop



①修改 hadoop-env.sh和yarn-env.sh

export JAVA_HOME=/opt/jdk1.7.0_25

②修改core-site.xml

<configuration>

<property>

<name>hadoop.tmp.dir</name>

<value>/opt/hadoop-2.6.0/tmp</value>

<description>Abase for other temporarydirectories.</description>

</property>

<property>

<name>fs.defaultFS</name>

<value>hdfs://namenodezsw:9000</value>

</property>

<property>

<name>io.file.buffer.size</name>

<value>4096</value>

</property>

</configuration>

③修改hdfs-site.xml文件

configuration>

<property>

<name>dfs.namenode.name.dir</name>

<value>file:///opt/hadoop-2.6.0/dfs/name</value>

</property>

<property>

<name>dfs.datanode.data.dir</name>

<value>file:///opt/hadoop-2.6.0/dfs/data</value>

</property>

<property>

<name>dfs.replication</name>

<value>2</value>

</property>

<property>

<name>dfs.nameservices</name>

<value>h1</value>

</property>

<property>

<name>dfs.namenode.secondary.http-address</name>

<value>namenodezsw:50090</value>

</property>

<property>

<name>dfs.webhdfs.enabled</name>

<value>true</value>

</property>

</configuration>

④修改mapred-site.xml

cp mapred-site.xml.template mapred-site.xml

<configuration>

<property>

<name>mapreduce.framework.name</name>

<value>yarn</value>

<final>true</final>

</property>

<property>

<name>mapreduce.jobtracker.http.address</name>

<value>namenodezsw:50030</value>

</property>

<property>

<name>mapreduce.jobhistory.address</name>

<value>namenodezsw:10020</value>

</property>

<property>

<name>mapreduce.jobhistory.webapp.address</name>

<value>namenodezsw:19888</value>

</property>

<property>

<name>mapred.job.tracker</name>

<value>http://namenodezsw:9001</value>

</property>

</configuration>

⑤修改yarn-site.xml

<configuration>

<!-- Site specific YARN configuration properties-->

<property>

<name>yarn.resourcemanager.hostname</name>

<value>namenodezsw</value>

</property>

<property>

<name>yarn.nodemanager.aux-services</name>

<value>mapreduce_shuffle</value>

</property>

<property>

<name>yarn.resourcemanager.address</name>

<value>namenodezsw:8032</value>

</property>

<property>

<name>yarn.resourcemanager.scheduler.address</name>

<value>namenodezsw:8030</value>

</property>

<property>

<name>yarn.resourcemanager.resource-tracker.address</name>

<value>namenodezsw:8031</value>

</property>

<property>

<name>yarn.resourcemanager.admin.address</name>

<value>namenodezsw:8033</value>

</property>

<property>

<name>yarn.resourcemanager.webapp.address</name>

<value>namenodezsw:8088</value>

</property>

</configuration>

⑥修改slaves文件



⑦配置环境变量

# vi /etc/profile

export JAVA_HOME=/opt/jdk1.7.0_25

export HADOOP_HOME=/opt/hadoop-2.6.0

export JAR_HOME=/opt/jdk1.7.0_25/jre

export CLASSPATH=$JAVA_HOME/lib/tools.jar:$JAVA_HOME/lib/dt.jar:$JAR_HOME/lib

export PATH=$JAVA_HOME/bin:$HADOOP_HOME/bin:$HADOOP_HOME/sbin:$PATH

环境变量配置同样source /etc/profile命令本终端有效，重启后都有效

至此，修改完成

3.启动hadoop

使用scp -r /opt/hadoop-2.6.0/ hostname:/opt/命令将hadoop文件依次拷贝到5个datanode节点上。

在namenode上操作：

首先格式化

#hadoop namenode -format

启动所有服务

#start-all.sh



4.验证

namenode上：

#jps



datanode上：

#jps



网页管理端:



也可以使用 hadoop dfsadmin -report命令查看总体情况

至此集群搭建全部完成