手動安裝hadoop集羣

官網手冊：

http://hadoop.apache.org/docs/r1.0.4/cn/hdfs_design.html

主機信息

主機名                                 ip   

hadoop1                              10.0.70.242

hadoop2                              10.0.70.243

hadoop3                              10.0.70.230

hadoop4                              10.0.70.231

 

一．設置主機名映射

# vim /etc/hosts

127.0.0.1  localhost localhost.localdomain localhost4 localhost4.localdomain4

::1        localhost localhost.localdomain localhost6 localhost6.localdomain6

10.0.70.242     hadoop1

10.0.70.243     hadoop2

10.0.70.230     hadoop3

10.0.70.231     hadoop4

並拷貝到其餘3臺機器。

 

二．配置免密碼登陸

# cd /root/.ssh/

# ssh-keygen -t rsa

# cat id_rsa.pub >> authorized_keys

將其餘3臺機器的id_rsa.pub內容追加到authorized_keys文件中，並拷貝給其餘3臺機器。

#ssh hadoop1（hadoop2、hadoop3、hadoop4）進行驗證。

 

三．安裝jdk

# tar zxvf jdk-8u51-linux-x64.tar.gz -C/app/zpy/

配置環境變量

# vim /etc/profile

JAVA_HOME=/app/zpy/jdk1.8.0_51

JAVA_BIN=/app/zpy/jdk1.8.0_51/bin

PATH=$PATH:$JAVA_BIN

export JAVA_HOME JAVA_BIN PATH

# . /etc/profile

# java –version         進行驗證

其餘3臺機器相同操做。

 

四．安裝hadoop

# cd /app/zpy/3rd

# wget http://mirror.bit.edu.cn/apache/hadoop/common/hadoop-2.7.3/hadoop-2.7.3.tar.gz

# tar zxvf hadoop-2.7.3.tar.gz -C /app/zpy/

配置環境變量

# vim /etc/profile

HADOOP_HOME=/app/zpy/hadoop-2.7.3

HADOOP_BIN=/app/zpy/hadoop-2.7.3/bin

PATH=$PATH:$JAVA_BIN:$HADOOP_HOME:$HADOOP_BIN

export JAVA_HOME JAVA_BIN PATH HADOOP_HOMEHADOOP_BIN

# . /etc/profile

修改主要配置文件

# cd /app/zpy/hadoop-2.7.3/etc/hadoop

 

# vim hadoop-env.sh

添加

export JAVA_HOME=/app/zpy/jdk1.8.0_51

export HADOOP_HOME_WARN_SUPPRESS=1

# vim yarn-env.sh

更改

JAVA_HOME=/app/zpy/jdk1.8.0_51

 

# vim core-site.xml

內容以下

<configuration>

   <property>

       <name>fs.defaultFS</name>

       <value>hdfs://hadoop1:9000</value>

   </property>

 

   <property>

       <name>hadoop.tmp.dir</name>

       <value>/data/tmp</value>

   </property>

   <property>

       <name>io.file.buffer.size</name>

       <value>131702</value>

   </property>

</configuration>

 

# vim hdfs-site.xml

內容以下

<configuration>

   <property>

       <name>dfs.namenode.name.dir</name>

       <value>file:/data/hdfs/name/</value>

   </property>

 

   <property>

       <name>dfs.datanode.data.dir</name>

       <value>file:/data/hdfs/data</value>

   </property>

   <property>

       <name>dfs.replication</name>

       <value>2</value>

   </property>

 

   <property>

       <name>dfs.namenode.secondary.http-address</name>

       <value>hadoop1:9001</value>

   </property>

 

   <property>

       <name>dfs.webhdfs.enabled</name>

       <value>true</value>

   </property>

</configuration>

# cp mapred-site.xml.templatemapred-site.xml

 

# vim mapred-site.xml

內容以下

<configuration>

<property>

       <name>mapreduce.framework.name</name>

       <value>yarn</value>

   </property>

</configuration>

# vim yarn-site.xml

內容以下

<configuration>

<!-- Site specific YARN configurationproperties -->

   <property>

       <name>yarn.nodemanager.aux-services</name>

       <value>mapreduce_shuffle</value>

    </property>

   <property>

       <name>yarn.nodemanager.auxservices.mapreduce.shuffle.class</name>

       <value>org.apache.hadoop.mapred.ShuffleHandler</value>

   </property>

   <property>

       <name>yarn.resourcemanager.address</name>

       <value>hadoop1:8032</value>

   </property>

   <property>

       <name>yarn.resourcemanager.scheduler.address</name>

       <value>hadoop1:8030</value>

   </property>

   <property>

       <name>yarn.resourcemanager.resource-tracker.address</name>

       <value>hadoop1:8031</value>

   </property>

   <property>

       <name>yarn.resourcemanager.admin.address</name>

       <value>hadoop1:8033</value>

   </property>

   <property>

       <name>yarn.resourcemanager.webapp.address</name>

       <value>hadoop1:8088</value>

   </property>

   <property>

       <name>yarn.scheduler.maximum-allocation-mb</name>

       <value>3000</value>

   </property>

 

</configuration>

 

# vim slaves

內容以下

hadoop1

hadoop2

hadoop3

hadoop4

 

建立必須的文件夾

 

# mkdir -p /data/tmp/

 #mkdir /data/hdfs

# mkdir /data/hdfs/data

# mkdir /data/hdfs/name

 

五．將配置好的文件拷貝到其餘主機

# scp –r hadoop-2.7.3 hadoop2:/app/zpy

# scp –r hadoop-2.7.3 hadoop3:/app/zpy

# scp –r hadoop-2.7.3 hadoop4:/app/zpy

 

# scp /etc/profile hadoop2:/etc

# scp /etc/profile hadoop3:/etc

# scp /etc/profile hadoop4:/etc

 

刷新另外3臺服務器的環境變量。

 

六．啓動

首先格式化namenode節點，注意在master節點上！

# cd /app/zpy/hadoop-2.7.3/bin/

# hadoop namenode –format

 

而後啓動集羣

# start-dfs.sh

# start-yarn.sh

 

在master節點上運行

# jps

 

看到以下結果：

4083 Jps

30084 DataNode

30261 SecondaryNameNode

30550 NodeManager

29945 NameNode

30430 ResourceManager

 

切換到slave節點，運行

# jps

 

看到以下結果：

18561 NodeManager

4362 Jps

18443 DataNode

 

瀏覽器中打開http://10.0.70.242:50070/dfshealth.html#tab-overview可看見相應信息

 

七．運行測試用例

切換到hadoop根目錄

執行以下命令解除ｈａｄｏｏｐ安全模式：

# ./bin/hadoop dfsadmin -safemode leave

 

再執行：

# ./bin/hadoop jarshare/hadoop/mapreduce/hadoop-mapreduce-examples-2.7.3.jar pi 1 1

 

顯示以下結果：

Number of Maps  = 1

Samples per Map = 1

Wrote input for Map #0

Starting Job

．．．．．．

Job Finished in 15.972 seconds

Estimated value of Pi is 4.00000000000000000000

 

證實成功，至此完成！