超详细的Hadoop2配置详解

1. 集群环境
Master 192.168.2.100
Slave1 192.168.2.101
Slave2 192.168.2.102

2. 下载安装包

Master

wget http://mirrors.shu.edu.cn/apache/hadoop/common/hadoop-2.8.4/hadoop-2.8.4.tar.gz
tar zxvf hadoop-2.8.4.tar.gz

3. 修改Hadoop配置文件

Master

cd hadoop-2.8.4/etc/hadoop
vim hadoop-env.sh
export JAVA_HOME=/usr/local/src/jdk1.8.0_152

vim yarn-env.sh
export JAVA_HOME=/usr/local/src/jdk1.8.0_152

vim slaves
slave1
slave2

vim core-site.xml

<configuration>
        <property>
                <name>fs.defaultFS</name>
                <value>hdfs://master:9000</value>
        </property>
        <property>
                <name>hadoop.tmp.dir</name>
                <value>file:/usr/local/hadoop-2.8.4/tmp</value>
        </property>
</configuration>

vim hdfs-site.xml

<configuration>
        <property>
                <name>dfs.namenode.secondary.http-address</name>
                <value>master:9001</value>
        </property>
        <property>
                <name>dfs.namenode.name.dir</name>
                <value>file:/usr/local/hadoop-2.8.4/dfs/name</value>
        </property>
        <property>
                <name>dfs.datanode.data.dir</name>
                <value>file:/usr/local/hadoop-2.8.4/dfs/data</value>
        </property>
        <property>
                <name>dfs.repliction</name>
                <value>3</value>
        </property>
</configuration>

vim mapred-site.xml

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

vim yarn-site.xml

<configuration>
		<property>
				<name>yarn.nodemanager.aux-services</name>
				<value>mapreduce_shuffle</value>
		</property>
		<property>
				<name>yarn.nodemanager.aux-services.mapreduce.shuffle.class</name>
				<value>org.apache.hadoop.mapred.ShuffleHandler</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:8035</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>

#创建临时目录和文件目录
mkdir /usr/local/hadoop-2.8.4/tmp
mkdir -p /usr/local/hadoop-2.8.4/dfs/name
mkdir -p /usr/local/hadoop-2.8.4/dfs/data

4. 配置环境变量

Master、Slave1、Slave2

vim ~/.bashrc
HADOOP_HOME=/usr/local/src/hadoop-2.8.2
export PATH=$PATH:$HADOOP_HOME/bin

刷新环境变量

source ~/.bashrc

5. 拷贝安装包

Master

scp -r /usr/local/src/hadoop-2.8.4 root@slave1:/usr/local/src/hadoop-2.8.4
scp -r /usr/local/src/hadoop-2.8.4 root@slave2:/usr/local/src/hadoop-2.8.4

6. 启动集群

Master

初始化Namenode

hadoop namenode -format
![]( http://i2.51cto.com/images/blog/201806/23/3116f465c88a5dccbae7822dca38147b.jpg?x-oss-process=image/watermark ,size_16,text_QDUxQ1RP5Y2a5a6i,color_FFFFFF,t_100,g_se,x_10,y_10,shadow_90,type_ZmFuZ3poZW5naGVpdGk=)

启动集群

./sbin/start-all.sh
![]( http://i2.51cto.com/images/blog/201806/23/a494144143ac46d50a46fe91a2add8f3.png?x-oss-process=image/watermark ,size_16,text_QDUxQ1RP5Y2a5a6i,color_FFFFFF,t_100,g_se,x_10,y_10,shadow_90,type_ZmFuZ3poZW5naGVpdGk=)

6. 集群状态
jps

Master

![]( http://i2.51cto.com/images/blog/201806/23/f68e924f7f1c03a460e55d2e9aa710f4.jpg?x-oss-process=image/watermark ,size_16,text_QDUxQ1RP5Y2a5a6i,color_FFFFFF,t_100,g_se,x_10,y_10,shadow_90,type_ZmFuZ3poZW5naGVpdGk=)

Slave1

![]( http://i2.51cto.com/images/blog/201806/23/13f8dbc3d8e4764ad1a1e62d70fdab30.jpg?x-oss-process=image/watermark ,size_16,text_QDUxQ1RP5Y2a5a6i,color_FFFFFF,t_100,g_se,x_10,y_10,shadow_90,type_ZmFuZ3poZW5naGVpdGk=)

Slave2

![]( http://i2.51cto.com/images/blog/201806/23/5e30d0372d6d33ae2748166abb0575c5.jpg?x-oss-process=image/watermark ,size_16,text_QDUxQ1RP5Y2a5a6i,color_FFFFFF,t_100,g_se,x_10,y_10,shadow_90,type_ZmFuZ3poZW5naGVpdGk=)

7.监控网页
http://master:8088
![]( http://i2.51cto.com/images/blog/201806/23/d64519c0029e8f78682bc2c04a83d18f.jpg?x-oss-process=image/watermark ,size_16,text_QDUxQ1RP5Y2a5a6i,color_FFFFFF,t_100,g_se,x_10,y_10,shadow_90,type_ZmFuZ3poZW5naGVpdGk=)

  1. 测试
    ![]( http://i2.51cto.com/images/blog/201806/23/3566042dad31e7606577ca0d8ccec779.jpg?x-oss-process=image/watermark ,size_16,text_QDUxQ1RP5Y2a5a6i,color_FFFFFF,t_100,g_se,x_10,y_10,shadow_90,type_ZmFuZ3poZW5naGVpdGk=)

  2. 关闭集群
    ./sbin/hadoop stop-all.sh

posted @ 2018-09-08 17:13  linux运维开发  阅读(3868)  评论(0)    收藏  举报