之前配置的是1.0.2，这个版本较老了，所以升级成2.7.1了。

大致上两个版本的配置差异不会太大。

规划：

ubuntu1 172.19.43.178  master,namenode,jobtracker-master

ubuntu2 172.19.43.114  slave1,datanode,tasktracker-slave1

ubuntu3 172,19.43.98   slave2,datanode,tasktracker-slave2

1.配置jdk 1.7

下载64位 jdk1.7

复制jdk1.7到 /usr/java文件夹下，解压文件

root@vinking:/home/vinking/Downloads# cp jdk-7u71-linux-x64.tar.gz /usr/java

#sudo tar -zxvf jdk-7u71-linux-x64.tar.gz

编辑环境变量，增加如下

#vi /etc/profile

#set java environment

export JAVA_HOME=/usr/java/jdk1.7.0_71

export JRE_HOME=/usr/java/jdk1.7.0_71/jre

export CLASSPATH=.:$JAVA_HOME/lib:$JRE_HOME/lib:$CLASSPATH

export PATH=$JAVA_HOME/bin:$JRE_HOME/bin:$JAVA_HOME:$PATH

#source /etc/profile

查看是否安装成功：

#java -version

java version "1.7.0_71"

Java(TM) SE Runtime Environment (build 1.7.0_71-b14)

Java HotSpot(TM) 64-Bit Server VM (build 24.71-b01, mixed mode)

2.配置ssh免密码登录

root@vinking:/home/vinking# sudo apt-get install openssh-server

root@vinking:/home/vinking# sudo apt-get install openssh-client

root@vinking:/home/vinking# sudo /etc/init.d/ssh start

start: Job is already running: ssh

root@vinking:/home/vinking# ps -e|grep ssh

2298 ?        00:00:00 ssh-agent

99652 ?        00:00:00 sshd

root@vinking:/home/vinking# ssh-keygen -t dsa -P '' -f ~/.ssh/id_dsa

Generating public/private dsa key pair.

Your identification has been saved in /root/.ssh/id_dsa.

Your public key has been saved in /root/.ssh/id_dsa.pub.

The key fingerprint is:

e2:8d:00:e0:ba:8a:07:37:e9:d2:11:79:20:70:fa:1d root@vinking

The key's randomart image is:

+--[ DSA 1024]----+

|+ .              |

|o+.              |

|.o.oE            |

|..oo..           |

|. .+o . S        |

|..=  o +         |

|.= o  o .        |

|+ +              |

|oo               |

+-----------------+

# cat ~/.ssh/id_dsa.pub >> ~/.ssh/authorized_keys

# ssh -version

Bad escape character 'rsion'.

# ssh localhost

登录成功

3.安装2.7.1hadoop

官网安装说明：http://hadoop.apache.org/docs/r2.7.1/hadoop-project-dist/hadoop-common/ClusterSetup.html

参考网上一篇文章：http://wangzhijian.blog.51cto.com/6427016/1766619

a.下载安装

下载hadoop

#wget http://apache.fayea.com/hadoop/common/hadoop-2.7.1/hadoop-2.7.1.tar.gz

解压并安装

#tar-zxvf hadoop-2.7.1.tar.gz

#sudo mv hadoop-2.7.1 /usr/local/hadoop

b.配置环境变量

root@vinking:/usr/local/hadoop# vi ~/.bashrc

添加如下：

# Hadoop Start

export JAVA_HOME=/usr/java/jdk1.7.0_71

export HADOOP_HOME=/usr/local/hadoop

export CLASSPATH=.:$JAVA_HOME/lib/dt.jar:$JAVA_HOME/lib/tools.jar:

export PATH=$PATH:$JAVA_HOME/bin:$HADOOP_HOME/bin:$HADOOP_HOME/sbin:

# Hadoop End

root@vinking:/usr/local/hadoop# source  ~/.bashrc

c.添加hosts(每台机都要)

root@vinking:/usr/local/hadoop# vi /etc/hosts

root@vinking:/usr/local/hadoop# cat /etc/hosts

127.0.0.1          localhost

172.19.43.178   master

172.19.43.114   slave1

172.19.43.98    slave2

d.配置集群：
 复制多两份 变成3台机 分别配置成master slave1 slave2

配置master

#hostname master

#vi /etc/hostname

master

#cd /usr/local/hadoop/etc/hadoop

配置core-site.xml

#vi core-site.xml

<configuration>

<property>

<name>fs.default.name</name>

<value>hdfs://master:9000</value>

</property>

<property>

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

<value>4096</value>

</property>

</configuration>

配置hdfs-site.xml

vi hdfs-site.xml

<configuration>

<property>

<name>dfs.replication</name>

<value>2</value>

</property>

<property>

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

<value>/usr/local/hadoop/dfs/name</value>

</property>

<property>

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

<value>/usr/local/hadoop/dfs/data</value>

</property>

<property>

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

<value>master:50090</value>

</property>

</configuration>

配置mapred-site.xml

#sudo cp /usr/local/hadoop/etc/hadoop/mapred-site.xml.template /usr/local/hadoop/etc/hadoop/mapred-site.xml

#vi mapred-site.xml

<configuration>

<property>

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

<value>yarn</value>

<final>true</final>

</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>

配置yarn-site.xml

#vi yarn-site.xml

<configuration>

<property>

<name>yarn.acl.enable</name>

<value>false</value>

<final>true</final>

</property>

<property>

<name>yarn.admin.acl</name>

<value>*</value>

</property>

<property>

<name>yarn.log-aggregation-enable</name>

<value>false</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.resource-tracker.address</name>

<value>master:8035</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>

<property>

<name>yarn.resourcemanager.hostname</name>

<value>master</value>

</property>

<property>

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

<value>mapreduce_shuffle</value>

</property>

</configuration>

e.指定IAVA_HOME安装路径

#vi/usr/local/hadoop/etc/hadoop/hadoop-env.sh

添加如下：

export JAVA_HOME=/usr/java/jdk1.7.0_71

f.指定集群中的master节点(NameNode、ResourceManager)所拥有的slaver节点

#vi /usr/local/hadoop/etc/hadoop/slaves

Slave1

Slave2

master的配置向Slave复制Hadoop

#scp -r /usr/local/hadoop slave1:/usr/local/

#scp -r /usr/local/hadoop slave2:/usr/local/

g.master格式化节点 

root@master:/usr/local/hadoop/etc/hadoop# hdfs namenode -format

master启动服务：

root@master:/usr/local/hadoop/etc/hadoop# start-all.sh

This script is Deprecated. Instead use start-dfs.sh and start-yarn.sh

h.查看配置启动是否成功

查看DFS使用状况

root@master:/usr/local/hadoop/bin# hadoop dfsadmin -report

DEPRECATED: Use of this script to execute hdfs command is deprecated.

Instead use the hdfs command for it.

Configured Capacity: 39891361792 (37.15 GB)

Present Capacity: 24475799552 (22.79 GB)

DFS Remaining: 24475750400 (22.79 GB)

DFS Used: 49152 (48 KB)

DFS Used%: 0.00%

Under replicated blocks: 0

Blocks with corrupt replicas: 0

Missing blocks: 0

Missing blocks (with replication factor 1): 0

-------------------------------------------------

Live datanodes (2):

Name: 172.19.43.114:50010 (slave1)

Hostname: slave1

Decommission Status : Normal

Configured Capacity: 19945680896 (18.58 GB)

DFS Used: 24576 (24 KB)

Non DFS Used: 7552659456 (7.03 GB)

DFS Remaining: 12392996864 (11.54 GB)

DFS Used%: 0.00%

DFS Remaining%: 62.13%

Configured Cache Capacity: 0 (0 B)

Cache Used: 0 (0 B)

Cache Remaining: 0 (0 B)

Cache Used%: 100.00%

Cache Remaining%: 0.00%

Xceivers: 1

Last contact: Thu Jun 23 18:42:28 HKT 2016

Name: 172.19.43.98:50010 (slave2)

Hostname: slave2

Decommission Status : Normal

Configured Capacity: 19945680896 (18.58 GB)

DFS Used: 24576 (24 KB)

Non DFS Used: 7862902784 (7.32 GB)

DFS Remaining: 12082753536 (11.25 GB)

DFS Used%: 0.00%

DFS Remaining%: 60.58%

Configured Cache Capacity: 0 (0 B)

Cache Used: 0 (0 B)

Cache Remaining: 0 (0 B)

Cache Used%: 100.00%

Cache Remaining%: 0.00%

Xceivers: 1

Last contact: Thu Jun 23 18:42:27 HKT 2016

查看master后台java进程(前面是进程号,后面是进程)

root@slave1:~# jps

3204 DataNode

3461 Jps

3344 NodeManager

root@slave2:~# jps

32196 DataNode

32425 Jps

32324 NodeManager

root@master:/usr/local/hadoop# jps

4613 ResourceManager

4436 SecondaryNameNode

4250 NameNode

7436 Jps

http://localhost:50070 网页查看集群的运行情况

4.验证测试

root@master:/usr/local/hadoop# hadoop dfs -mkdir /input

DEPRECATED: Use of this script to execute hdfs command is deprecated.

Instead use the hdfs command for it.

这里要把hadoop换成hdfs

下面这样就不会出错了

root@master:/usr/local/hadoop# hdfs dfs -mkdir /user

root@master:/usr/local/hadoop# hdfs dfs -mkdir /user/hadoop

root@master:/usr/local/hadoop# hdfs dfs -mkdir /user/hadoop/input

建立input文件夹

root@master:/usr/local/hadoop# mkdir input

root@master:/usr/local/hadoop# cd input

root@master:/usr/local/hadoop/input# vi test.txt

root@master:/usr/local/hadoop/input# cat test.txt

Hello World

Hello Hadoop

将test.txt上传到hdfs上

root@master:/usr/local/hadoop/input# hdfs dfs -put test.txt /user/hadoop/input

执行Wordcount程序

root@master:/usr/local/hadoop# hadoop jar share/hadoop/mapreduce/sources/hadoop-mapreduce-examples-2.7.1-sources.jar org.apache.hadoop.examples.WordCount /user/hadoop/input /user/hadoop/output

16/06/24 11:27:30 INFO client.RMProxy: Connecting to ResourceManager at master/172.19.43.178:8032

16/06/24 11:27:31 INFO input.FileInputFormat: Total input paths to process : 1

16/06/24 11:27:31 INFO mapreduce.JobSubmitter: number of splits:1

16/06/24 11:27:31 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1466678312847_0002

16/06/24 11:27:32 INFO impl.YarnClientImpl: Submitted application application_1466678312847_0002

16/06/24 11:27:32 INFO mapreduce.Job: The url to track the job: http://master:8088/proxy/application_1466678312847_0002/

16/06/24 11:27:32 INFO mapreduce.Job: Running job: job_1466678312847_0002

16/06/24 11:28:40 INFO mapreduce.Job: Job job_1466678312847_0002 running in uber mode : false

16/06/24 11:28:40 INFO mapreduce.Job:  map 0% reduce 0%

16/06/24 11:30:08 INFO mapreduce.Job:  map 100% reduce 0%

16/06/24 11:31:22 INFO mapreduce.Job:  map 100% reduce 100%

16/06/24 11:31:23 INFO mapreduce.Job: Job job_1466678312847_0002 completed successfully

16/06/24 11:31:23 INFO mapreduce.Job: Counters: 49

File System Counters

FILE: Number of bytes read=43

FILE: Number of bytes written=230815

FILE: Number of read operations=0

FILE: Number of large read operations=0

FILE: Number of write operations=0

HDFS: Number of bytes read=135

HDFS: Number of bytes written=25

HDFS: Number of read operations=6

HDFS: Number of large read operations=0

HDFS: Number of write operations=2

Job Counters

Launched map tasks=1

Launched reduce tasks=1

Data-local map tasks=1

Total time spent by all maps in occupied slots (ms)=85589

Total time spent by all reduces in occupied slots (ms)=70001

Total time spent by all map tasks (ms)=85589

Total time spent by all reduce tasks (ms)=70001

Total vcore-seconds taken by all map tasks=85589

Total vcore-seconds taken by all reduce tasks=70001

Total megabyte-seconds taken by all map tasks=87643136

Total megabyte-seconds taken by all reduce tasks=71681024

Map-Reduce Framework

Map input records=2

Map output records=4

Map output bytes=41

Map output materialized bytes=43

Input split bytes=110

Combine input records=4

Combine output records=3

Reduce input groups=3

Reduce shuffle bytes=43

Reduce input records=3

Reduce output records=3

Spilled Records=6

Shuffled Maps =1

Failed Shuffles=0

Merged Map outputs=1

GC time elapsed (ms)=602

CPU time spent (ms)=9800

Physical memory (bytes) snapshot=301338624

Virtual memory (bytes) snapshot=1334976512

Total committed heap usage (bytes)=136122368

Shuffle Errors

BAD_ID=0

CONNECTION=0

IO_ERROR=0

WRONG_LENGTH=0

WRONG_MAP=0

WRONG_REDUCE=0

File Input Format Counters

Bytes Read=25

File Output Format Counters

Bytes Written=25

查看生产的单词统计数据

root@master:/usr/local/hadoop# hdfs dfs -ls /user/hadoop/input

Found 1 items

-rw-r--r--   2 root supergroup         25 2016-06-24 11:03 /user/hadoop/input/test.txt

root@master:/usr/local/hadoop# hdfs dfs -ls /user/hadoop/output

Found 2 items

-rw-r--r--   2 root supergroup          0 2016-06-24 11:31 /user/hadoop/output/_SUCCESS

-rw-r--r--   2 root supergroup         25 2016-06-24 11:31 /user/hadoop/output/part-r-00000

root@master:/usr/local/hadoop# hdfs dfs -cat /user/hadoop/output/part-r-00000

Hadoop 1

Hello 2

World 1