虚拟机环境准备
准备三台虚拟机
关闭防火墙
[root@master ~]# systemctl stop firewalld [root@master ~]# systemctl disable firewalld
添加主机映射
[root@master ~]# vim /etc/hosts

分发映射
[root@master ~]# scp /etc/hosts slave1:/etc/hosts [root@master ~]# scp /etc/hosts slave2:/etc/hosts

配置免密登录
[root@master ~]# ssh-keygen [root@slave1 ~]# ssh-keygen [root@slave2 ~]# ssh-keygen
拷贝公钥
[root@master ~]# ssh-copy-id slave1 [root@master ~]# ssh-copy-id slave2 [root@master ~]# ssh-copy-id master
[root@slave1 ~]# ssh-copy-id master [root@slave1 ~]# ssh-copy-id slave1 [root@slave1 ~]# ssh-copy-id slave2
[root@slave2 ~]# ssh-copy-id master [root@slave2 ~]# ssh-copy-id slave1 [root@slave2 ~]# ssh-copy-id slave2
测试免密登录是否配置成功(登录成功后记得退出)
[root@master ~]# ssh slave1

解压安装包
[root@master software]# tar -zxvf jdk-8u144-linux-x64.tar.gz -C /usr/local/src/ [root@master software]# tar -zxvf hadoop-2.6.0.tar.gz -C /usr/local/src/
安装包改名
[root@master src]# mv hadoop-2.6.0/ hadoop [root@master src]# mv jdk1.8.0_144/ java
配置环境变量
[root@master src]# vim /etc/profile
###java export JAVA_HOME=/usr/local/src/java export PATH=$PATH:$JAVA_HOME/bin ###hadoop export HADOOP_HOME=/usr/local/src/hadoop export PATH=$PATH:$HADOOP_HOME/bin export PATH=$PATH:$HADOOP_HOME/sbin

分发环境变量
[root@master src]# scp /etc/profile slave1:/etc/profile [root@master src]# scp /etc/profile slave2:/etc/profile
使环境变量生效
[root@master src]# souce /etc/profile [root@slave1 ~]# source /etc/profile [root@slave2 ~]# source /etc/profile
修改配置文件
进入目录
[root@master ~]# cd /usr/local/src/hadoop/etc/hadoop/
core-site.xml
[root@master hadoop]# vim core-site.xml
<configuration>
<property>
<name>fs.defaultFS</name>
<value>hdfs://master:9000</value>
</property>
<property>
<name>hadoop.tmp.dir</name>
<value>/usr/local/src/hadoop/tmp</value>
</property>
</configuration>

hdfs-site.xml
[root@master hadoop]# vim hdfs-site.xml
<configuration>
<property>
<name>dfs.namenode.secondary.http-address</name>
<value>master:50090</value>
</property>
<property>
<name>dfs.namenode.name.dir</name>
<value>/usr/local/src/hadoop/name</value>
</property>
<property>
<name>dfs.datanode.data.dir</name>
<value>/usr/local/src/hadoop/data</value>
</property>
</configuration>

yarn-site.xml
[root@master hadoop]# vim yarn-site.xml
<configuration>
<property>
<name>yarn.nodemanager.aux-services</name>
<value>mapreduce_shuffle</value>
</property>
<property>
<name>yarn.resourcemanager.hostname</name>
<value>master</value>
</property>
<property>
<name>yarn.log-aggregation-enable</name>
<value>true</value>
</property>
<property>
<name>yarn.log-aggregation.retain-seconds</name>
<value>604800</value>
</property>
</configuration>

mapred-site.xml
[root@master hadoop]# mv mapred-site.xml.template mapred-site.xml [root@master hadoop]# vim mapred-site.xml
<configuration>
<property>
<name>mapreduce.framework.name</name>
<value>yarn</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>
</configuration>
修改JAVA_HOME
[root@master hadoop]# vim hadoop-env.sh [root@master hadoop]# vim yarn-env.sh [root@master hadoop]# vim mapred-env.sh



声明集群
[root@master hadoop]# vim slaves

分发集群
将配置好的hadoop和java分发到其他两台机器上
[root@master src]# scp -r /usr/local/src/hadoop slave1:/usr/local/src [root@master src]# scp -r /usr/local/src/hadoop slave2:/usr/local/src [root@master src]# scp -r /usr/local/src/java slave1:/usr/local/src [root@master src]# scp -r /usr/local/src/java slave2:/usr/local/src
集群启动
格式化namenode
[root@master ~]# hdfs namenode -format

格式化成功
群起集群
[root@master ~]# start-all.sh

[root@master ~]# jps

[root@slave1 ~]# jps

[root@slave2 ~]# jps

集群启动成功
本文档详述了在虚拟机环境下配置Hadoop全分布式的过程,包括准备三台虚拟机,配置免密登录,解压安装包,修改配置文件如core-site.xml, hdfs-site.xml, yarn-site.xml, mapred-site.xml,设置JAVA_HOME,分发集群并启动。集群启动包括格式化namenode和启动所有节点。"
104029608,5654815,深度学习中的激活函数解析,"['深度学习', '神经网络', '激活函数', 'ReLU', '非线性']
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