1.虚拟机
master 192.168.109.200
node1 192.168.109.201
node2 192.168.109.202
2.安装jdk1.8,下载jdk1.8(密码: 7sw5),多台虚拟机无密码登录
3.安装jdk
4.安装配置hadoop2.7.x
下载hadoop2.7.3 (密码:f8vf)
在虚拟机master的hadoop用户下创建:hadoop文件夹
mkdir hadoop;
创建tmp、hdfs、hdfs/data、hdfs/name
mkdir tmp
mkdir hdfs
mkdir hdfs/name
mkdir hdfs/data
把hadoop2.73上传到虚拟机的hadoop用户的hadoop文件夹下
tar -zxvf hadoop2.7.tar.gz
mv hadoop2.7.3xx hadoop
修改配置文件:
core-site.xml(hadoop/etc/hadoop/core-site.xml):
<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<configuration>
<property>
<name>fs.defaultFS</name>
<value>hdfs://192.168.109.200:9000</value>
</property>
<property>
<name>hadoop.tmp.dir</name>
<value>file:/home/hadoop/hadoop/tmp</value>
</property>
<property>
<name>io.file.buffer.size</name>
<value>131702</value>
</property>
</configuration>
hdfs-site.xml(hadoop/etc/hadoop/hdfs-site.xml):
<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<configuration>
<property>
<name>dfs.namenode.name.dir</name>
<value>file:/home/hadoop/hadoop/hdfs/name</value>
</property>
<property>
<name>dfs.datanode.data.dir</name>
<value>file:/home/hadoop/hadoop/hdfs/data</value>
</property>
<property>
<name>dfs.replication</name>
<value>2</value>
</property>
<property>
<name>dfs.namenode.secondary.http-address</name>
<value>192.168.109.200:9001</value>
</property>
<property>
<name>dfs.webhdfs.enabled</name>
<value>true</value>
</property>
<property>
<name>dfs.permissions</name>
<value>false</value>
</property>
</configuration>
mapred-site.xml(hadoop/etc/hadoop/mapred-site.xml):
<?xml version="1.0"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<configuration>
<property>
<name>mapreduce.framework.name</name>
<value>yarn</value>
</property>
<property>
<name>mapreduce.jobhistory.address</name>
<value>192.168.109.200:10020</value>
</property>
<property>
<name>mapreduce.jobhistory.webapp.address</name>
<value>192.168.109.200:19888</value>
</property>
</configuration>
yarn-site.xml(hadoop/etc/hadoop/yarn-site.xml):
<?xml version="1.0"?>
<configuration>
<property>
<name>yarn.nodemanager.aux-services</name>
<value>mapreduce_shuffle</value>
</property>
<property>
<name>yarn.nodemanager.auxservices.mapreduce.shuffle.class</name>
<value>org.apache.hadoop.mapred.ShuffleHandler</value>
</property>
<property>
<name>yarn.resourcemanager.address</name>
<value>192.168.109.200:8032</value>
</property>
<property>
<name>yarn.resourcemanager.scheduler.address</name>
<value>192.168.109.200:8030</value>
</property>
<property>
<name>yarn.resourcemanager.resource-tracker.address</name>
<value>192.168.109.200:8031</value>
</property>
<property>
<name>yarn.resourcemanager.admin.address</name>
<value>192.168.109.200:8033</value>
</property>
<property>
<name>yarn.resourcemanager.webapp.address</name>
<value>192.168.109.200:8088</value>
</property>
<property>
<name>yarn.nodemanager.resource.memory-mb</name>
<value>64</value>
</property>
</configuration>
export JAVA_HOME=/usr/local/jdk
yarn-env.sh(hadoop/etc/hadoop/yarn-env.sh):(放开25行,修改成你的jdk地址(#$JAVA_HOME可以查看))export JAVA_HOME=/usr/local/jdk
配置/home/hadoop/hadoop-2.7.0/etc/hadoop目录下的slaves,删除默认的localhost,增加2个从节点,
node1
scp -r /home/hadoop/hadoop hadoop@node1:/home/hadoop/hadoop
scp -r /home/hadoop/hadoop hadoop@node2:/home/hadoop/hadoop
在master服务器启动hadoop,从节点会自动启动,进入/home/hadoop/hadoop目录
(1)初始化,输入命令,bin/hdfs namenode -format
(2)全部启动sbin/start-all.sh,也可以分开sbin/start-dfs.sh、sbin/start-yarn.sh
(3)停止的话,输入命令,sbin/stop-all.sh
(4)输入命令,jps,可以看到相关信息