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 root@slave1:~/.ssh/id_rsa.pub slave1.pub
scp -r root@slave2:~/.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 root@master:~/.ssh/id_rsa.pub master.pub
scp -r root@slave2:~/.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 root@master:~/.ssh/id_rsa.pub master.pub
scp -r root@slave1:~/.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
[root@master /]# ssh slave1
Last login: Wed Aug 30 21:34:51 2017 from slave2
[root@slave1 ~]#
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
并设置hadoop环境变量
vi /etc/profile
export HADOOP_HOME=/home/hadoop-2.7.4
export PATH=$PATH:$HADOOP_HOME/bin:$HADOOP_HOME/sbin
export HADOOP_CONF_DIR=$HADOOP_HOME/etc/hadoop
export YARN_CONF_DIR=$HADOOP_HOME/etc/hadoop
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 root@slave1:/home/hadoop-2.7.4
scp -r /home/hadoop-2.7.4 root@slave2:/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
[root@master ~]# ssh master
Last login: Sat Sep 2 00:47:50 2017 from slave1
[root@master ~]# jps
9187 Jps
3221 ResourceManager
3062 SecondaryNameNode
2856 NameNode
[root@master ~]# ssh slave1
Last login: Sat Sep 2 00:25:55 2017 from master
[root@slave1 ~]# jps
6044 Jps
2685 NodeManager
2590 DataNode
[root@slave1 ~]# ssh slave2
Last login: Wed Aug 30 21:34:38 2017 from master
j[root@slave2 ~]# jps
2679 NodeManager
5994 Jps
2590 DataNode
[root@slave2 ~]#
如果启动异常,一定要仔细看log并修正配置