部署Hadoop高性能集群：
拓扑图：
一、实验前期环境准备：
1、三台主机配置hosts文件：（复制到另外两台主机上）
[root@tiandong63 ~]# more /etc/hosts
192.168.199.3 tiandong63
192.168.199.4 tiandong64
192.168.199.5 tiandong65
2、创建Hadoop账号（另外两台主机上都的创建）
[root@tiandong63 ~]#useradd -u 8000 hadoop
[root@tiandong63 ~]#echo '123456' | passwd --stdin hadoop
3、给hadoop用户增加sudo权限，增加内容（另外两台主机上都得配置）
[root@tiandong63 ~]# vim /etc/sudoers
hadoop ALL=(ALL) ALL
4、主机互信（在tiandong63主机上）
可以ssh无密码登录机器tiandong63，tiandong64，tiandong65 ，方便后期复制文件和启动服务。因为namenode启动时，会连接到datanode上启动对应的服务。
[root@tiandong63 ~]# su - hadoop
[hadoop@tiandong63 ~]$ ssh-keygen
[hadoop@tiandong63 ~]$ ssh-copy-id root@192.168.199.4
[hadoop@tiandong63 ~]$ ssh-copy-id root@192.168.199.5
二、配置hadoop环境
1、配置jdk环境：（三台都的配置）
[root@tiandong63 ~]# ll jdk-8u191-linux-x64.tar.gz
-rw-r--r-- 1 root root 191753373 Dec 30 00:58 jdk-8u191-linux-x64.tar.gz
[root@tiandong63 ~]# tar zxvf jdk-8u191-linux-x64.tar.gz -C /usr/local/src/
[root@tiandong63 ~]# vim /etc/profile
export Java_HOME=/usr/local/src/jdk1.8.0_191
export JAVA_BIN=/usr/local/src/jdk1.8.0_191/bin
export PATH=${JAVA_HOME}/bin:$PATH
export CLASSPATH=.:${JAVA_HOME}/lib/dt.jar:${JAVA_HOME}/lib/tools.jar
export hadoop_root_logger=DEBUG,console
[root@tiandong63 ~]# source /etc/profile
2、关闭防火墙（三台都的关闭）
[root@tiandong63 ~]# /etc/init.d/iptables stop
3、在tiandong63安装Hadoop 并配置成namenode主节点
[root@tiandong63 ~]# cd /home/hadoop/
[root@tiandong63 hadoop]# ll hadoop-2.7.7.tar.gz
-rw-r--r-- 1 hadoop hadoop 218720521 Dec 29 21:11 hadoop-2.7.7.tar.gz
[root@tiandong63 ~]# su - hadoop
[hadoop@tiandong63 ~]$ tar -zxvf hadoop-2.7.7.tar.gz
创建hadoop相关的工作目录：
[hadoop@tiandong63 ~]$ mkdir -p /home/hadoop/dfs/name/ /home/hadoop/dfs/data/^Chome/hadoop/tmp/
4、配置hadoop（修改7个配置文件）
文件名称：hadoop-env.sh、yarn-evn.sh、slaves、core-site.xml、hdfs-site.xml、mapred-site.xml、yarn-site.xml
[hadoop@tiandong63 ~]$ cd /home/hadoop/hadoop-2.7.7/etc/hadoop/
[hadoop@tiandong63 hadoop]$ vim hadoop-env.sh 指定hadoop的Java运行环境
25 export JAVA_HOME=/usr/local/src/jdk1.8.0_191
[hadoop@tiandong63 hadoop]$ vim yarn-env.sh 指定yarn框架的java运行环境
26 JAVA_HOME=/usr/local/src/jdk1.8.0_191
[hadoop@tiandong63 hadoop]$ vim slaves 指定datanode 数据存储服务器
tiandong64
tiandong65
[hadoop@tiandong63 hadoop]$ vim core-site.xml 指定访问hadoop web界面访问路径
19 <configuration>
20 <property>
21 <name>fs.defaultFS</name>
22 <value>hdfs://tiandong63:9000</value>
23 </property>
24
25 <property>
26 <name>io.file.buffer.size</name>
27 <value>131072</value>
28 </property>
29
30 <property>
31 <name>hadoop.tmp.dir</name>
32 <value>file:/home/hadoop/tmp</value>
33 <description>Abase for other temporary directories.</description>
34 </property>
35 </configuration>
[hadoop@tiandong63 hadoop]$ mkdir -p /home/hadoop/tmp
[hadoop@tiandong63 hadoop]$ vim hdfs-site.xml
hdfs的配置文件，dfs.http.address配置了hdfs的http的访问位置，dfs.replication配置了文件块的副本数，一般不大于从机的个数。
19 <configuration>
20 <property>
21 <name>dfs.namenode.secondary.http-address</name>
22 <value>tiandong63:9001</value>
23 </property>
24
25 <property>
26 <name>dfs.namenode.name.dir</name>
27 <value>file:/home/hadoop/dfs/name</value>
28 </property>
29 <property>
30 <name>dfs.datanode.data.dir</name>
31 <value>file:/home/hadoop/dfs/data</value>
32 </property>
33
34 <property>
35 <name>dfs.replication</name>
36 <value>2</value>
37 </property>
38
39 <property>
40 <name>dfs.webhdfs.enabled</name>
41 <value>true</value>
42 </property>
43 </configuration>
[hadoop@tiandong63 hadoop]$ vim mapred-site.xml
19 <configuration>
20 <property>
21 <name>mapreduce.framework.name</name>
22 <value>yarn</value>
23 </property>
24
25 <property>
26 <name>mapreduce.jobhistory.address</name>
27 <value>tiandong63:10020</value>
28 </property>
29
30 <property>
31 <name>mapreduce.jobhistory.webapp.address</name>
32 <value>tiandong:19888</value>
33 </property>
34 </configuration>
[hadoop@tiandong63 hadoop]$ vim yarn-site.xml 该文件为yarn框架的配置,主要是一些任务的启动位置
15 <configuration>
16
17 <!-- Site specific YARN configuration properties -->
18 <property>
19 <name>yarn.nodemanager.aux-services</name>
20 <value>mapreduce_shuffle</value>
21 </property>
22
23 <property>
24 <name>yarn.nodemanager.aux-services.mapreduce.shuffle.class</name>
25 <value>org.apache.hadoop.mapred.ShuffleHandler</value>
26 </property>
27
28 <property>
29 <name>yarn.resourcemanager.address</name>
30 <value>tiandong63:8032</value>
31 </property>
32
33 <property>
34 <name>yarn.resourcemanager.scheduler.address</name>
35 <value>tiandong63:8030</value>
36 </property>
37
38 <property>
39 <name>yarn.resourcemanager.resource-tracker.address</name>
40 <value>tiandong63:8031</value>
41 </property>
42
43 <property>
44 <name>yarn.resourcemanager.admin.address</name>
45 <value>tiandong63:8033</value>
46 </property>
47
48 <property>
49 <name>yarn.resourcemanager.webapp.address</name>
50 <value>tiandong63:8088</value>
51 </property>
52 </configuration>