由于要近期使用hadoop等进行相关任务执行，操作linux时候就多了
以前只在linux上配置J2EE项目执行环境，无非配置下jdk，部署tomcat，再通过docker或者jenkins自动部署上去
看下进程，复制粘贴删除等基本操作，很多东西久了不用就忘了，所有写个demo巩固下曾经的linux知识
后续会有hadoop等主流的大数据相关环境的搭建及使用
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这次讲hadoop 2.7.4环境搭建
本次需要三个节点 操作用户均为root
192.168.0.80 master
192.168.0.81 slave1
192.168.0.82 slave2
1.按照 Linux巩固记录（1） J2EE开发环境搭建及网络配置 配置好三台虚拟机的网络和jdk 并能互通（都关掉防火墙）
2.更改80虚拟机hostname为master，81为slave1,82为slave2
vi /etc/sysconfig/network
以80为例：删除localhost 增加 HOSTNAME=master
3.修改三台虚拟机的hosts， 三台虚拟机一样
vi /etc/hosts
192.168.0.80 master 192.168.0.81 slave1 192.168.0.82 slave2
4.修改sshd配置
vi /etc/ssh/sshd_config
#放开注释
RSAAuthentication yes
PubkeyAuthentication yes
5.三台虚拟机全部重启 shutdown -r now
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6.ssh key配置，
cd ~/.ssh #（.ssh是目录，如果没有，执行$ ssh xxxxxx）
#master ssh master ssh-keygen –t rsa cat ~/.ssh/id_rsa.pub >> ~/.ssh/authorized_keys scp -r [email protected]:~/.ssh/id_rsa.pub slave1.pub scp -r [email protected]:~/.ssh/id_rsa.pub slave2.pub cat ~/.ssh/slave2.pub >> ~/.ssh/authorized_keys cat ~/.ssh/slave1.pub >> ~/.ssh/authorized_keys #slave1 ssh slave1 ssh-keygen –t rsa cat ~/.ssh/id_rsa.pub >> ~/.ssh/authorized_keys scp -r [email protected]:~/.ssh/id_rsa.pub master.pub scp -r [email protected]:~/.ssh/id_rsa.pub slave2.pub cat ~/.ssh/slave2.pub >> ~/.ssh/authorized_keys cat ~/.ssh/master.pub >> ~/.ssh/authorized_keys #slave2 ssh slave2 ssh-keygen –t rsa cat ~/.ssh/id_rsa.pub >> ~/.ssh/authorized_keys scp -r [email protected]:~/.ssh/id_rsa.pub master.pub scp -r [email protected]:~/.ssh/id_rsa.pub slave1.pub cat ~/.ssh/slave1.pub >> ~/.ssh/authorized_keys cat ~/.ssh/master.pub >> ~/.ssh/authorized_keys
配置完毕后可以无密码登录 如master中到salve1 ssh slave1
[[email protected] /]# ssh slave1 Last login: Wed Aug 30 21:34:51 2017 from slave2 [[email protected] ~]#
hadoop配置只需要在master上进行，配置完成后复制到slave上即可
7. 下载hadoop 2.7.4压缩包到master /home下并解压 重命名为 hadoop-2.7.4 tar -xzvf xxxxxx /home/hadoop-2.7.4
8.
vi /home/hadoop-2.7.4/etc/hadoop/hadoop-env.sh 设置JAVA_HOME
vi /home/hadoop-2.7.4/etc/hadoop/mapred-env.sh 设置JAVA_HOME
9 修改 /home/hadoop-2.7.4/etc/hadoop/core-site.xml
<configuration>
<property>
<name>fs.defaultFS</name>
<value>hdfs://master:9000</value>
<description>设定namenode的主机名及端口(建议不要更改端口号)</description>
</property>
<property>
<name>io.file.buffer.size</name>
<value>131072</value>
<description> 设置缓存大小 </description>
</property>
<property>
<name>hadoop.tmp.dir</name>
<value>file:/home/hadoop-2.7.4/tmp</value>
<description> 存放临时文件的目录 </description>
</property>
<property>
<name>hadoop.security.authorization</name>
<value>false</value>
</property>
</configuration>
10 修改 /home/hadoop-2.7.4/etc/hadoop/hdfs-site.xml
<configuration>
<property>
<name>dfs.namenode.name.dir</name>
<value>file:/home/hadoop-2.7.4/hdfs/name</value>
<description> namenode 用来持续存放命名空间和交换日志的本地文件系统路径 </description>
</property>
<property>
<name>dfs.datanode.data.dir</name>
<value>file:/home/hadoop-2.7.4/hdfs/data</value>
<description> DataNode 在本地存放块文件的目录列表，用逗号分隔 </description>
</property>
<property>
<name>dfs.replication</name>
<value>2</value>
<description> 设定 HDFS 存储文件的副本个数，默认为3 </description>
</property>
<property>
<name>dfs.webhdfs.enabled</name>
<value>true</value>
</property>
<property>
<name>dfs.permissions</name>
<value>false</value>
</property>
</configuration>
11 修改 /home/hadoop-2.7.4/etc/hadoop/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>master:50030</value>
</property>
<property>
<name>mapreduce.jobhistory.address</name>
<value>master:10020</value>
</property>
<property>
<name>mapreduce.jobhistory.webapp.address</name>
<value>master:19888</value>
</property>
<property>
<name>mapred.job.tracker</name>
<value>http://master:9001</value>
</property>
</configuration>
12 修改 /home/hadoop-2.7.4/etc/hadoop/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:8031</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>
13 创建对应的文件夹 mkdir -p logs （其实可以先创建好了文件夹再复制，文件夹多了不影响）
在每个节点上创建数据存储目录/home/hadoop-2.7.4/hdfs 用来存放集群数据。
在主节点node上创建目录/home/hadoop-2.7.4/hdfs/name 用来存放文件系统元数据。
在每个从节点上创建目录/home/hadoop-2.7.4/hdfs/data 用来存放真正的数据。
所有节点上的日志目录为/home/hadoop-2.7.4/logs
所有节点上的临时目录为/home/hadoop-2.7.4/tmp
14复制配置好的配置到slave节点
scp -r /home/hadoop-2.7.4 [email protected]:/home/hadoop-2.7.4 scp -r /home/hadoop-2.7.4 [email protected]:/home/hadoop-2.7.4
15 在master节点上配置hadoop salve配置文件 增加节点
vi /home/hadoop-2.7.4/etc/hadoop/slaves
增加
salve1
slave2
16格式化namenode和datanode并启动，（在master上执行就可以了 不需要在slave上执行）
/home/hadoop-2.7.4/bin/hadoop namenode -format /home/hadoop-2.7.4/bin/hadoop datanode -format /home/hadoop-2.7.4/sbin/start-all.sh
17 通过jps命令查看是否启动成功
[[email protected] ~]# ssh master Last login: Sat Sep 2 00:47:50 2017 from slave1 [[email protected] ~]# jps 9187 Jps 3221 ResourceManager 3062 SecondaryNameNode 2856 NameNode [[email protected] ~]# ssh slave1 Last login: Sat Sep 2 00:25:55 2017 from master [[email protected] ~]# jps 6044 Jps 2685 NodeManager 2590 DataNode [[email protected] ~]# ssh slave2 Last login: Wed Aug 30 21:34:38 2017 from master j[[email protected] ~]# jps 2679 NodeManager 5994 Jps 2590 DataNode [[email protected] ~]#
如果启动异常，一定要仔细看log并修正配置