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hadoop集群搭建（docker）

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08/03
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背景

目前在一家快递公司工作，因项目需要，对大数据平台做个深入的了解。工欲利其器必先利其器，在网上找了许多教程，然后自己搭建一个本地的环境并记录下来，增加一些印象。

环境搭建

1）Ubuntu

docker pull ubuntu:16.04

docker images

docker run -ti ubuntu:16.04

系统运行后，安装一些小工具

# apt update

//weget

# apt-get install wget

//ifconfig

# apt-get install net-tools

//ping

# apt-get install iputils-ping

//vim

# apt-get install vim

# exit

# docker commit -m “wget net-tools iputils-ping vim install” 864c90fe3ebb ubutun:tools

2）Java

apt-get install software-properties-common python-software-properties

add-apt-repository ppa:webupd8team/java

apt-get install oracle-java8-installer

vim ~/.bashrc

export JAVA_HOME=/usr/lib/jvm/java-8-oracle

# source ~/.bashrc

# java -version

使用docker commit保存一个副本

3）Hadoop

# cd ~

# mkdir soft

# cd soft

# mkdir apache

# cd apache

# wget https://mirrors.tuna.tsinghua.edu.cn/apache/hadoop/common/hadoop-2.7.6/hadoop-2.7.6.tar.gz

# tar -zxvf hadoop-2.7.6.tar.gz

配置hadoop环境变量

# vim ~/.bashrc

export HADOOP_HOME=/root/soft/apache/hadoop/hadoop-2.7. export HADOOP_CONFIG_HOME=$HADOOP_HOME/etc/hadoop export PATH=$PATH:$HADOOP_HOME/bin export PATH=$PATH:$HADOOP_HOME/bin

创建tmp、NameNode、DataNode目录

tmp是hadoop的临时存储目录

NameNode是文件系统的管理节点

DataNode是提供真实文件数据的存储服务

# cd $HADOOP_HOME/

# mkdir tmp

# mkdir namenode

# mkdir datanode

# cd $HADOOP_CONFIG_HOME/

# cp mapred-site.xml.template mapred-site.xml

# vim mapred-site.xml

<configuration> <property> <name>mapred.job.tracker</name> <value>master:9001</value> <description>The host and port that the MapReduce job tracker runs at. If "local", then jobs are run in-process as a single map and reduce task. </description> </property></configuration>

# vim core-site.xml

<configuration> <property> <name>hadoop.tmp.dir</name> <value>/root/soft/apache/hadoop/hadoop-2.7.6/tmp</value> <description>A base for other temporary directories.</description> </property> <property> <name>fs.default.name</name> <value>hdfs://master:9000</value> <final>true</final> <description>The name of the default file system. A URI whose scheme and authority determine the FileSystem implementation. The uri's scheme determines the config property (fs.SCHEME.impl) naming the FileSystem implementation class. The uri's authority is used to determine the host, port, etc. for a filesystem.</description> </property></configuration>

# vim hdfs-site.xml

<configuration> <property> <name>dfs.replication</name> <value>2</value> <final>true</final> <description>Default block replication. The actual number of replications can be specified when the file is created. The default is used if replication is not specified in create time. </description> </property> <property> <name>dfs.namenode.name.dir</name> <value>/root/soft/apache/hadoop/hadoop-2.7.6/namenode</value> <final>true</final> </property> <property> <name>dfs.datanode.data.dir</name> <value>/root/soft/apache/hadoop/hadoop-2.7.6/datanode</value> <final>true</final> </property></configuration>

#vim hadoop-en.sh

export JAVA_HOME=/usr/lib/jvm/java-8-oracle

#exit

docker commit -m “hadoop install” xxxxx ubuntu:hadoop

4）ssh配置

# apt-get install ssh

# cd ~/

# ssh-keygen -t rsa -P ‘’ -f ‘~/.ssh/id-rsa’

# cd .ssh

# cat is-rsa.pub >> authorized_keys

# service ssh start

#ssh localhost

#exit

docker commit -m “hadoop install” xxxxx ubuntu:hadoop

5）启动配置

配置好环境，接下来开始启动

master

#docker run -ti -h master -p 50070:50070 -p 8088:8088 ubuntu:hadoop

配置slaves

# cd $HADOOP_CONFIG_HOME/

# vim slaves

slave1
slave2

slave

#docker run -ti -h slave1

#docker run -ti -h slave2

三个节点都启动好了，利用ifconfig查看master、slave1、slave2的ip

#vim/etc/hosts

ip(master) master

ip(slave1) slave1

ip(slave2) slave2

一切都准备好了的时候，就可以切换到hadoop/sbin，开启hadoop集群啦

#cd $HADOOP_HOME/sbin/

#./start-all.sh

稍等片刻之后，可以通过http://localhost:50070/，查看hadoop集群

下面是导出的docker系统文件，ubuntu：hadoop，https://pan.baidu.com/s/1GSfZbwJxlTk18YGPqNFwew  uhmh