Hadoop伪分布式安装

伪分布式只需要一台服务器就可以完成，搭建集群之前需要selinux和防火墙

1.安装java并配置环境变量

[ ~]# tar -xf jdk-8u144-linux-x64.gz -C /usr/
[ ~]# ln -sv /usr/jdk1.8.0_144/ /usr/java
"/usr/java" -> "/usr/jdk1.8.0_144/"

[ ~]# cat /etc/profile.d/java.sh
export JAVA_HOME=/usr/java
export PATH=$PATH:$JAVA_HOME/bin

[ ~]# source /etc/profile.d/java.sh
[ ~]# java -version                 
java version "1.8.0_144"
Java(TM) SE Runtime Environment (build 1.8.0_144-b01)
Java HotSpot(TM) 64-Bit Server VM (build 25.144-b01, mixed mode)

2.安装hadoop程序并配置环境变量

[ ~]# tar xf hadoop-2.9.2.tar.gz -C /usr
[ ~]# ln -sv /usr/hadoop-2.9.2/ /usr/hadoop
"/usr/hadoop" -> "/usr/hadoop-2.9.2/"

[ ~]# cat /etc/profile.d/hadoop.sh
export HADOOP_HOME=/usr/hadoop-2.9.2
export PATH=$PATH:$HADOOP_HOME/bin:$HADOOP_HOME/sbin

更改hadoop程序包内 hadoop-env.sh，mapred-env.sh，yarn-env.sh中的JAVA_HOME环境变量
[ ~]# grep ‘export JAVA_HOME‘ /usr/hadoop/etc/hadoop/{hadoop-env.sh,mapred-env.sh,yarn-env.sh}
/usr/hadoop/etc/hadoop/hadoop-env.sh:export JAVA_HOME=/usr/java
/usr/hadoop/etc/hadoop/mapred-env.sh:export JAVA_HOME=/usr/java
/usr/hadoop/etc/hadoop/yarn-env.sh:export JAVA_HOME=/usr/java

3.配置主机名和hosts文件

[ ~]# hostnamectl set-hostname node1

[ ~]# cat /etc/hosts
127.0.0.1   localhost localhost.localdomain localhost4 localhost4.localdomain4
::1         localhost localhost.localdomain localhost6 localhost6.localdomain6
192.168.159.129 node1　　

4.core-site.xml

<configuration>
    <property>  
        <name>fs.defaultFS</name>  
        <value>hdfs://node1:9000</value>
    </property>
    <property>
        <name>hadoop.tmp.dir</name>
        <value>/usr/data/hadoop-local</value>
    </property>
</configuration>

5.hdfs-site.xml

<configuration>
    <property>  
        <name>dfs.replication</name>  
        <value>3</value>  
    </property>  
    <property>
        <name>dfs.namenode.secondary.http-address</name>
        <value>node1:50090</value>
    </property>
</configuration>

6.slaves　

node1

7.mapred-site.xml

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

8.yarn-site.xml

<configuration>
    <property>  
        <name>yarn.nodemanager.aux-services</name>  
        <value>mapreduce_shuffle</value>  
    </property>
    <property>
        <name>yarn.resourcemanager.hostname</name>
        <value>node1</value>
    </property>
</configuration>

9.创建hadoop数据存储目录

mkdir /usr/data/hadoop-local

10.格式化hdfs集群

/usr/hadoop-w/bin/hdfs namenode -format

11.启动各个组建

[ hadoop-w]# /usr/hadoop-w/sbin/start-all.sh
This script is Deprecated. Instead use start-dfs.sh and start-yarn.sh
Starting namenodes on [node1]
node1: starting namenode, logging to /usr/hadoop-w/logs/hadoop-root-namenode-node1.out
node1: starting datanode, logging to /usr/hadoop-w/logs/hadoop-root-datanode-node1.out
Starting secondary namenodes [node1]
node1: starting secondarynamenode, logging to /usr/hadoop-w/logs/hadoop-root-secondarynamenode-node1.out
starting yarn daemons
starting resourcemanager, logging to /usr/hadoop-w/logs/yarn-root-resourcemanager-node1.out
node1: starting nodemanager, logging to /usr/hadoop-w/logs/yarn-root-nodemanager-node1.out

12.查看各个组件启动情况

[ hadoop-w]# jps
Jps
ResourceManager
JobHistoryServer
NameNode
DataNode
NodeManager
SecondaryNameNode

• hadoop所有存储路径，如果不指定，都会根据core-stite.xml中的hadoop.tmp.dir创建 

[ hadoop-w]# tree /usr/data/hadoop-local/
/usr/data/hadoop-local/
├── dfs
│   ├── data
│   │   ├── current
│   │   │   ├── BP-1191695345-192.168.159.129-1582271980457
│   │   │   │   ├── current
│   │   │   │   │   ├── dfsUsed
│   │   │   │   │   ├── finalized
│   │   │   │   │   ├── rbw
│   │   │   │   │   └── VERSION
│   │   │   │   ├── scanner.cursor
│   │   │   │   └── tmp
│   │   │   └── VERSION
│   │   └── in_use.lock
│   ├── name
│   │   ├── current
│   │   │   ├── edits_0000000000000000001-0000000000000000008
│   │   │   ├── edits_inprogress_0000000000000000009
│   │   │   ├── fsimage_0000000000000000000
│   │   │   ├── fsimage_0000000000000000000.md5
│   │   │   ├── seen_txid
│   │   │   └── VERSION
│   │   └── in_use.lock
│   └── namesecondary
│       └── in_use.lock
└── nm-local-dir
    ├── filecache
    ├── nmPrivate
    └── usercache