Hadoop2集群的安装与布署

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hadoop2
yarn

1. 环境

Centos X86_64 6.4

JDK 1.6.0_45

Hadoop 2.2.0

8G内存 500G硬盘

4台机器，每台机器用户名都是hadoop

hostname	角色	ip
lenovo10	NN + RM + SNN	218.193.154.XXX
lenovo9	NM + DN
lenovo11	NM + DN
lenovo12	NM + DN

角色缩写备注：NameNode, ResourceManager,Secondary NameNode,DataNode , NodeManager

2. 准备

配制SSH兔密码登录,lenovo10能登录其他所有机器

安装JDK

关闭防火墙

3. 配制

修改Linux的配制文件

/etc/hosts

218.193.154.XXX  lenovo9
218.193.154.XXX  lenovo10 admin
218.193.154.XXX  lenovo11
218.193.154.XXX  lenovo12

/etc/profile

#set JAVA_HOME
JAVA_HOME=/usr/java/jdk1.6.0_45/
PATH=$JAVA_HOME/bin:$JAVA_HOME/jre/bin:$PATH
CLASSPATH=.:$JAVA_HOME/lib:$JAVA_HOME/jre/lib:$CLASSPATH
export PATH JAVA_HOME CLASSPATH

# set hadoop path
HADOOP_HOME=/usr/local/hadoop
export PATH="$HADOOP_HOME/bin:$HADOOP_HOME/sbin:$PATH"

/etc/security/limits.conf

hadoop - nofile 32768
hadoop soft/hard nproc 32000

/etc/pam.d/login

session required pam_limits.so

在HADOOP_HOME下的etc/hadoop目录中修改如下文件

在hadoop-env.sh和yarn-env.sh文件尾加入 JAVA_HOME=/usr/java/jdk1.6.0_45

core-site.xml

<configuration>
	<property>
		<name>fs.defaultFS</name>
		<value>hdfs://admin:9000</value>
	</property>

	<property>
		<name>io.file.buffer.size</name>
		<value>131072</value>
	</property>

	<property>
		<name>hadoop.tmp.dir</name>
		<value>file:/home/hadoop/tmp2</value>
		<description>Abase for other temporary directories.</description>
	</property>

	<property>
		<name>hadoop.proxyuser.hadoop.hosts</name>
		<value>*</value>
	</property>

	<property>
		<name>hadoop.proxyuser.hadoop.groups</name>
		<value>*</value>
	</property>

</configuration>

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>admin:8032</value>
	</property>
	<property>
		<name>yarn.resourcemanager.scheduler.address</name>
		<value>admin:8030</value>
	</property>
	<property>
		<name>yarn.resourcemanager.resource-tracker.address</name>
		<value>admin:8031</value>
	</property>
	<property>
		<name>yarn.resourcemanager.admin.address</name>
		<value>admin:8033</value>
	</property>
	<property>
		<name>yarn.resourcemanager.webapp.address</name>
		<value>admin:8088</value>
	</property>
</configuration>

hdfs-site.xml

<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>

<configuration>
<property>
<name>dfs.namenode.secondary.http-address</name>
<value>admin:9001</value>
</property>

<property>
<name>dfs.namenode.name.dir</name>
<value>file:/home/hadoop/tmp2/dfs/name</value>
</property>

<property>
<name>dfs.namenode.data.dir</name>
<value>file:/home/hadoop/tmp2/dfs/data</value>
</property>

<property>
<name>dfs.replication</name>
<value>3</value>
</property>

<property>
<name>dfs.webhdfs.enabled</name>
<value>true</value>
</property>
</configuration>

mapred-site.xml

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

	<property>
		<name>mapreduce.jobhistory.address</name>
		<value>admin:10020</value>
	</property>

	<property>
		<name>mapreduce.jobhistory.webapp.address</name>
		<value>admin:19888</value>
	</property>

</configuration>

slaves

lenovo9
lenovo11
lenovo12

4. 运行

将配制好的hadoop文件夹分发到每一台机器

1.sh

#num=8
slave=slave
#for i in {1..10}; do
for i in {1,2}; do
#for((i=1;i<=num;i++)); do

  host=$slave${i}

  echo "开始安装${host}..."
  
  echo "root免密码登录到${host}"
  ssh-copy-id root@${host} 
  echo "hadoop帐号免密码登录到${host}.hadoop帐号没有密码"
  ssh-copy-id hadoop@${host}
  有多个密钥，可以指定
  ssh-copy-id -i id_rsa hadoop@${host}
 
  echo "拷贝hadoop目录"
  scp -r /usr/local/hadoop  root@${host}:/usr/local
  
  echo "拷贝几个配置文件"
  scp  /etc/hosts   /etc/sudoers  root@${host}:/etc
  scp  /etc/profile.d/hadoop.sh root@${host}:/etc/profile.d
  scp  /etc/pam.d/login  root@${host}:/etc/pam.d
  scp  /etc/security/limits.conf  root@${host}:/etc/security
  
  echo "拷贝JDK"
  scp /home/hadoop/Downloads/jdk-6u45-linux-x64.bin  root@${host}:/usr/java
 
  scp 2.sh root@${host}:/tmp/2.sh
  ssh root@${host} sh /tmp/2.sh
 

  echo "安装${host}完毕"

  
done

2.sh

chmod u+w /etc/sudoers  
echo "关闭防火墙" 
service iptables stop 
chkconfig iptables off

echo "开启ntpd" 
service ntpd start
chkconfig ntpd on

echo "设置sshd开机启动"
#yum install sshd
service sshd start
chkconfig sshd on

echo "add hadoop to root group"
usermod -a -G root hadoop

echo "创建HDFS的目录"
#mkdir  /home/hadoop
mkdir  /home/hadoop/tmp
mkdir  /home/hadoop/tmp/dfs
mkdir  /home/hadoop/tmp/dfs/name
mkdir  /home/hadoop/tmp/dfs/data

echo "将hadoop相关目录权限下放给用户hadoop"
chown -R hadoop:hadoop /home/hadoop/tmp
chown -R hadoop:hadoop /usr/local/hadoop
#chown -R hadoop:hadoop /usr/local/hbase

echo "修改回/etc/sudoers的权限"
chmod u-w /etc/sudoers

echo "使环境变量生效"
source /etc/profile

echo "安装JDK"
cd /usr/java
./jdk-6u45-linux-x64.bin
echo "测试JDK"
source /etc/profile
java -version
echo "删除JDK安装文件"
rm -rf jdk-6u45-linux-x64.bin

exit

在lenovo10上

第一次运行前要格式化

hdfs namenode -format

分别启动

start-dfs.sh

start-yarn.sh

或者全部启动

start-all.sh

查看启动的进程

JPS

在lenovo10在运行的进程有namenode, resourcemanager,secondary namenode

在lenovo9／11／12在运行的进程有datanode , nodemanager

查看HDFS状态：

http://lenovo10:8088

查看ResourceManager状态

http://lenovo10:50070

查看HDFS状态

hdfs dfsadmin -report

查看HDFS健康状态

hdfs fsck /

hdfs fsck / -files -blocks

新建HDFS文件夹

hdfs dfs -mkdir /input

显示HDFS文件列表

hdfs dfs -ls /

移动文件

hdfs dfs -mv /input /user/hadoop/

上传一个文本文件到HDFS

hdfs dfs -put ~/1.txt /input

用hadoop流的方式执行一个mapreduce

hadoop jar $HADOOP_HOME/share/hadoop/tools/lib/hadoop-streaming-2.2.0.jar -input /input -output woutput -mapper /bin/cat -reducer /usr/bin/wc

5. eclipse插件的制作

下载插件（非官方，因为官方并没有出插件）

进入hadoop2x-eclipse-plugin-master/src/contrib/eclipse-plugin 目录

安装ant

执行ant命令

ant jar -Dversion=2.2.0 -Declipse.home=/usr/local/eclipse -Dhadoop.home=//home/hadoop/Downloads/java/hadoop-2.2.0

6. 可能出现的错误及解决方案

1.hdfs-site.xml:10:36: Content is not allowed in prolog

是由于复制文件时导致的编码的错误，将xml文件中多余的空格去掉

7. 参考资料

1.Hadoop MapReduce Next Generation - Cluster Setup

2.Hadoop2.2.0安装配置手册！完全分布式Hadoop集群搭建过程~（心血之作啊~~）

3.Hadoop2.2.0的eclipse插件的编译

4.Hadoop学习笔记【12】-Hadoop2.1全分布式集群安装

5.Hadoop 新 MapReduce 框架 Yarn 详解

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在线logo制作 | win7自动安装设备驱动

2014-01-11 14:09
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