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linux运维、架构之路-Hadoop完全分布式集群搭建

一、介绍

Hadoop实现了一个分布式文件系统（Hadoop Distributed File System），简称HDFS。
HDFS有高容错性的特点，并且设计用来部署在低廉的（low-cost）硬件上；而且它提供高吞吐量（high throughput）来访问应用程序的数据，适合那些有着超大数据集（large data set）的应用程序。HDFS放宽了（relax）POSIX的要求，可以以流的形式访问（streaming access）文件系统中的数据。
Hadoop的框架最核心的设计就是：HDFS和MapReduce。HDFS为海量的数据提供了存储，则MapReduce为海量的数据提供了计算。

二、部署环境规划

1、服务器地址规划

序号	IP地址	机器名	类型	用户名
1	10.0.0.67	Master.Hadoop	Namenode	Hadoop/root
2	10.0.0.68	Slave1.Hadoop	Datanode	Hadoop/root
3	10.0.0.69	Slave2.Hadoop	Datanode	Hadoop/root

2、部署环境

[root@Master ~]# cat /etc/redhat-release 
CentOS release 6.9 (Final)
[root@Master ~]# uname -r
2.6.32-696.el6.x86_64
[root@Master ~]# /etc/init.d/iptables status
iptables: Firewall is not running.
[root@Master ~]# getenforce 
Disabled

3、统一/etc/hosts解析

10.0.0.67  Master.Hadoop 
10.0.0.68  Slave1.Hadoop 
10.0.0.69  Slave2.Hadoop

三、SSH无密码验证配置

1、Master操作

[root@Master ~]# ssh-keygen -t dsa -P '' -f ~/.ssh/id_dsa
Generating public/private dsa key pair.
Created directory '/root/.ssh'.
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:
d9:50:b7:b1:f9:aa:83:6e:34:b9:0a:10:61:b9:83:e8 root@Master.Hadoop
The key's randomart image is:
+--[ DSA 1024]----+
|  o.      . o    |
| ...     . . =   |
|....    .   +    |
|o o.     +   .   |
|. ..    S..   .  |
| E .    +    .   |
|    .  . +  .    |
|     .  + ..     |
|      .+. ..     |
+-----------------+
[root@Master ~]# cat ~/.ssh/id_dsa.pub >> ~/.ssh/authorized_keys

2、分发公钥到两个Slave上面

①Slave1

[root@Slave1 ~]# scp root@Master.Hadoop:~/.ssh/id_dsa.pub ~/.ssh/master_dsa.pub
The authenticity of host 'master.hadoop (10.0.0.67)' can't be established.
RSA key fingerprint is b4:24:ea:5f:aa:06:3b:7c:76:93:b9:11:4c:65:70:95.
Are you sure you want to continue connecting (yes/no)? yes
Warning: Permanently added 'master.hadoop,10.0.0.67' (RSA) to the list of known hosts.
root@master.hadoop's password: 
id_dsa.pub                                                           100%  608     0.6KB/s   00:00    
[root@Slave1 ~]# cat ~/.ssh/master_dsa.pub >> ~/.ssh/authorized_keys

②Slave2

[root@Slave2 ~]# scp root@Master.Hadoop:~/.ssh/id_dsa.pub ~/.ssh/master_dsa.pub
The authenticity of host 'master.hadoop (10.0.0.67)' can't be established.
RSA key fingerprint is b4:24:ea:5f:aa:06:3b:7c:76:93:b9:11:4c:65:70:95.
Are you sure you want to continue connecting (yes/no)? yes
Warning: Permanently added 'master.hadoop,10.0.0.67' (RSA) to the list of known hosts.
root@master.hadoop's password: 
id_dsa.pub                                                           100%  608     0.6KB/s   00:00    
[root@Slave2 ~]# cat ~/.ssh/master_dsa.pub >> ~/.ssh/authorized_keys

③Master测试连接slave

[root@Master ~]# ssh Slave1.Hadoop
Last login: Tue Aug  7 10:30:53 2018 from 10.0.0.67
[root@Slave1 ~]# exit
logout
Connection to Slave1.Hadoop closed.
[root@Master ~]# ssh Slave2.Hadoop
Last login: Tue Aug  7 10:31:04 2018 from 10.0.0.67

四、Hadoop安装及环境配置

1、Master操作

①安装JAVA环境

tar xf jdk-8u121-linux-x64.tar.gz -C /usr/local/
ln -s /usr/local/jdk1.8.0_121/ /usr/local/jdk

配置环境变量

[root@Master ~]# tail -4  /etc/profile
export JAVA_HOME=/usr/local/jdk1.8.0_181  
export JRE_HOME=/usr/local/jdk1.8.0_181/jre  
export CLASSPATH=.:$JAVA_HOME/lib:$JRE_HOME/lib:$CLASSPATH  
export PATH=$JAVA_HOME/bin:$PATH
[root@Master ~]# source /etc/profile
[root@Master ~]# java -version
java version "1.8.0_181"
Java(TM) SE Runtime Environment (build 1.8.0_181-b13)
Java HotSpot(TM) 64-Bit Server VM (build 25.181-b13, mixed mode)

2、Hadoop安装及其环境配置

①安装

tar -xf hadoop-2.8.0.tar.gz -C /usr/
mv /usr/hadoop-2.8.0/ /usr/hadoop
###配置Hadoop环境变量###
export HADOOP_HOME=/usr/hadoop
export PATH=$PATH:$HADOOP_HOME/bin

②配置hadoop-env.sh生效

vim /usr/hadoop/etc/hadoop/hadoop-env.sh
export JAVA_HOME=/usr/local/jdk1.8.0_181
source /usr/hadoop/etc/hadoop/hadoop-env.sh
[root@Master usr]# hadoop version #查看Hadoop版本
Hadoop 2.8.0
Subversion https://git-wip-us.apache.org/repos/asf/hadoop.git -r 91f2b7a13d1e97be65db92ddabc627cc29ac0009
Compiled by jdu on 2017-03-17T04:12Z
Compiled with protoc 2.5.0
From source with checksum 60125541c2b3e266cbf3becc5bda666
This command was run using /usr/hadoop/share/hadoop/common/hadoop-common-2.8.0.jar

③创建Hadoop所需的子目录

mkdir /usr/hadoop/{tmp,hdfs}
mkdir /usr/hadoop/hdfs/{name,tmp,data} -p

④修改Hadoop核心配置文件core-site.xml，配置是HDFS master（即namenode）的地址和端口号

vim /usr/hadoop/etc/hadoop/core-site.xml

<configuration>
<property>
        <name>hadoop.tmp.dir</name>
        <value>/usr/hadoop/tmp</value>
        <final>true</final>
<!--（备注：请先在 /usr/hadoop 目录下建立 tmp 文件夹） -->
        <description>A base for other temporary directories.</description>
</property>
<property>
        <name>fs.default.name</name>
        <value>hdfs://10.0.0.67:9000</value>
<!-- hdfs://Master.Hadoop:22-->
        <final>true</final>
</property>
<property>
         <name>io.file.buffer.size</name>
         <value>131072</value>
</property>

</configuration>

⑤配置hdfs-site.xml文件

vim /usr/hadoop/etc/hadoop/hdfs-site.xml

<configuration>
<property> 
		<name>dfs.replication</name> 
		<value>2</value> 
	</property> 
	<property> 
		<name>dfs.name.dir</name> 
		<value>/usr/hadoop/hdfs/name</value> 
	</property> 
	<property> 
		<name>dfs.data.dir</name> 
		<value>/usr/hadoop/hdfs/data</value> 
	</property> 
	<property>  
		 <name>dfs.namenode.secondary.http-address</name>  
		 <value>master.hadoop:9001</value>  
	</property>  
	<property>  
		 <name>dfs.webhdfs.enabled</name>  
		 <value>true</value>  
	</property>  
	<property>  
		 <name>dfs.permissions</name>  
		 <value>false</value>  
	</property>  
</configuration>

⑥配置mapred-site.xml文件

vim /usr/hadoop/etc/hadoop/mapred-site.xml

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

⑦配置yarn-site.xml文件

vim /usr/hadoop/etc/hadoop/yarn-site.xml

<configuration>

<!-- Site specific YARN configuration properties -->
<property>  
  <name>yarn.resourcemanager.address</name>  
  <value>Master.Hadoop:18040</value>  
</property>  
<property>  
  <name>yarn.resourcemanager.scheduler.address</name>  
  <value>Master.Hadoop:18030</value>  
</property>  
<property>  
  <name>yarn.resourcemanager.webapp.address</name>  
  <value>Master.Hadoop:18088</value>  
</property>  
<property>  
  <name>yarn.resourcemanager.resource-tracker.address</name>  
  <value>Master.Hadoop:18025</value>  
</property>  
<property>  
  <name>yarn.resourcemanager.admin.address</name>  
  <value>Master.Hadoop:18141</value>  
</property>  
<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>  
</configuration>

⑧配置masters、slaves文件

echo "10.0.0.67" >/usr/hadoop/etc/hadoop/masters
echo -e "10.0.0.68
10.0.0.69" >/usr/hadoop/etc/hadoop/slaves

查看

[root@Master hadoop]# cat /usr/hadoop/etc/hadoop/masters
10.0.0.67
[root@Master hadoop]# cat /usr/hadoop/etc/hadoop/slaves 
10.0.0.68
10.0.0.69

3、Slave服务器安装及配置

①拷贝jdk到Slave

scp -rp /usr/local/jdk1.8.0_181 root@Slave1.Hadoop:/usr/local/
scp -rp /usr/local/jdk1.8.0_181 root@Slave2.Hadoop:/usr/local/

②拷贝环境变量/etc/profile

scp -rp /etc/profile root@Slave1.Hadoop:/etc/
scp -rp /etc/profile root@Slave2.Hadoop:/etc/

③拷贝/usr/hadoop

scp -rp /usr/hadoop root@Slave1.Hadoop:/usr/
scp -rp /usr/hadoop root@Slave2.Hadoop:/usr/

到此环境搭建完毕

五、启动及验证Hadoop集群

1、启动

①格式化HDFS文件系统

/usr/hadoop/sbin/hadoop namenode –format

②启动Hadoop集群所有节点

sh /usr/hadoop/sbin/start-all.sh

查看hadoop进程

[root@Master sbin]# ps -ef|grep hadoop
root       1523      1  3 16:37 ?        00:00:07 /usr/local/jdk1.8.0_181/bin/java -Dproc_secondarynamenode -Xmx1000m -Djava.library.path=/usr/hadoop/lib -Dhadoop.log.dir=/usr/hadoop/logs -Dhadoop.log.file=hadoop-root-secondarynamenode-Master.Hadoop.log -Dhadoop.home.dir=/usr/hadoop -Dhadoop.id.str=root -Dhadoop.root.logger=INFO,RFA -Djava.library.path=/usr/hadoop/lib/native -Dhadoop.policy.file=hadoop-policy.xml -Djava.net.preferIPv4Stack=true -Dhadoop.security.logger=INFO,RFAS -Dhdfs.audit.logger=INFO,NullAppender -Dhadoop.security.logger=INFO,RFAS -Dhdfs.audit.logger=INFO,NullAppender -Dhadoop.security.logger=INFO,RFAS -Dhdfs.audit.logger=INFO,NullAppender -Dhadoop.security.logger=INFO,RFAS org.apache.hadoop.hdfs.server.namenode.SecondaryNameNode
root       1670      1 11 16:37 pts/0    00:00:19 /usr/local/jdk1.8.0_181/bin/java -Dproc_resourcemanager -Xmx1000m -Dhadoop.log.dir=/usr/hadoop/logs -Dyarn.log.dir=/usr/hadoop/logs -Dhadoop.log.file=yarn-root-resourcemanager-Master.Hadoop.log -Dyarn.log.file=yarn-root-resourcemanager-Master.Hadoop.log -Dyarn.home.dir= -Dyarn.id.str=root -Dhadoop.root.logger=INFO,RFA -Dyarn.root.logger=INFO,RFA -Djava.library.path=/usr/hadoop/lib/native -Dyarn.policy.file=hadoop-policy.xml -Dhadoop.log.dir=/usr/hadoop/logs -Dyarn.log.dir=/usr/hadoop/logs -Dhadoop.log.file=yarn-root-resourcemanager-Master.Hadoop.log -Dyarn.log.file=yarn-root-resourcemanager-Master.Hadoop.log -Dyarn.home.dir=/usr/hadoop -Dhadoop.home.dir=/usr/hadoop -Dhadoop.root.logger=INFO,RFA -Dyarn.root.logger=INFO,RFA -Djava.library.path=/usr/hadoop/lib/native -classpath /usr/hadoop/etc/hadoop:/usr/hadoop/etc/hadoop:/usr/hadoop/etc/hadoop:/usr/hadoop/share/hadoop/common/lib/*:/usr/hadoop/share/hadoop/common/*:/usr/hadoop/share/hadoop/hdfs:/usr/hadoop/share/hadoop/hdfs/lib/*:/usr/hadoop/share/hadoop/hdfs/*:/usr/hadoop/share/hadoop/yarn/lib/*:/usr/hadoop/share/hadoop/yarn/*:/usr/hadoop/share/hadoop/mapreduce/lib/*:/usr/hadoop/share/hadoop/mapreduce/*:/usr/hadoop/contrib/capacity-scheduler/*.jar:/usr/hadoop/contrib/capacity-scheduler/*.jar:/usr/hadoop/contrib/capacity-scheduler/*.jar:/usr/hadoop/contrib/capacity-scheduler/*.jar:/usr/hadoop/share/hadoop/yarn/*:/usr/hadoop/share/hadoop/yarn/lib/*:/usr/hadoop/etc/hadoop/rm-config/log4j.properties org.apache.hadoop.yarn.server.resourcemanager.ResourceManager
root       1941   1235  0 16:40 pts/0    00:00:00 grep --color=auto hadoop

③关闭Hadoop集群所有节点

sh /usr/hadoop/sbin/stop-all.sh

Slave1.Hadoop Slave2.Hadoop查看hadoop进程

[root@Slave1 ~]# ps -ef|grep hadoop
root       1271      1  2 16:37 ?        00:00:12 /usr/local/jdk1.8.0_181/bin/java -Dproc_datanode -Xmx1000m -Djava.library.path=/usr/hadoop/lib -Dhadoop.log.dir=/usr/hadoop/logs -Dhadoop.log.file=hadoop-root-datanode-Slave1.Hadoop.log -Dhadoop.home.dir=/usr/hadoop -Dhadoop.id.str=root -Dhadoop.root.logger=INFO,RFA -Djava.library.path=/usr/hadoop/lib/native -Dhadoop.policy.file=hadoop-policy.xml -Djava.net.preferIPv4Stack=true -server -Dhadoop.security.logger=ERROR,RFAS -Dhadoop.security.logger=ERROR,RFAS -Dhadoop.security.logger=ERROR,RFAS -Dhadoop.security.logger=INFO,RFAS org.apache.hadoop.hdfs.server.datanode.DataNode
root       1363      1  4 16:37 ?        00:00:19 /usr/local/jdk1.8.0_181/bin/java -Dproc_nodemanager -Xmx1000m -Dhadoop.log.dir=/usr/hadoop/logs -Dyarn.log.dir=/usr/hadoop/logs -Dhadoop.log.file=yarn-root-nodemanager-Slave1.Hadoop.log -Dyarn.log.file=yarn-root-nodemanager-Slave1.Hadoop.log -Dyarn.home.dir= -Dyarn.id.str=root -Dhadoop.root.logger=INFO,RFA -Dyarn.root.logger=INFO,RFA -Djava.library.path=/usr/hadoop/lib/native -Dyarn.policy.file=hadoop-policy.xml -server -Dhadoop.log.dir=/usr/hadoop/logs -Dyarn.log.dir=/usr/hadoop/logs -Dhadoop.log.file=yarn-root-nodemanager-Slave1.Hadoop.log -Dyarn.log.file=yarn-root-nodemanager-Slave1.Hadoop.log -Dyarn.home.dir=/usr/hadoop -Dhadoop.home.dir=/usr/hadoop -Dhadoop.root.logger=INFO,RFA -Dyarn.root.logger=INFO,RFA -Djava.library.path=/usr/hadoop/lib/native -classpath /usr/hadoop/etc/hadoop:/usr/hadoop/etc/hadoop:/usr/hadoop/etc/hadoop:/usr/hadoop/share/hadoop/common/lib/*:/usrhadoop/share/hadoop/common/*:/usr/hadoop/share/hadoop/hdfs:/usr/hadoop/share/hadoop/hdfs/lib/*:/usr/hadoop/share/hadoop/hdfs/*:/usr/hadoop/share/hadoop/yarn/lib/*:/usr/hadoop/share/hadoop/yarn/*:/usr/hadoop/share/hadoop/mapreduce/lib/*:/usr/hadoop/share/hadoop/mapreduce/*:/contrib/capacity-scheduler/*.jar:/contrib/capacity-scheduler/*.jar:/usr/hadoop/share/hadoop/yarn/*:/usr/hadoop/share/hadoop/yarn/lib/*:/usr/hadoop/etc/hadoop/nm-config/log4j.properties org.apache.hadoop.yarn.server.nodemanager.NodeManager
root       1499   1238  0 16:45 pts/0    00:00:00 grep --color=auto hadoop

2、使用jps命令测试

①Master

[root@Master ~]# jps
11329 NameNode
11521 SecondaryNameNode
12269 Jps
11677 ResourceManager

②Slave

[root@Slave1 ~]# jps
4320 Jps
4122 NodeManager
4012 DataNode

3、Master上面查看集群状态

[root@Master ~]# hadoop dfsadmin -report
DEPRECATED: Use of this script to execute hdfs command is deprecated.
Instead use the hdfs command for it.

18/08/08 11:16:08 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
Configured Capacity: 38020816896 (35.41 GB)
Present Capacity: 27476373504 (25.59 GB)
DFS Remaining: 27476316160 (25.59 GB)
DFS Used: 57344 (56 KB)
DFS Used%: 0.00%
Under replicated blocks: 0
Blocks with corrupt replicas: 0
Missing blocks: 0
Missing blocks (with replication factor 1): 0
Pending deletion blocks: 0

-------------------------------------------------
Live datanodes (2):

Name: 10.0.0.68:50010 (Slave1.Hadoop)
Hostname: Slave1.Hadoop
Decommission Status : Normal
Configured Capacity: 19010408448 (17.70 GB)
DFS Used: 28672 (28 KB)
Non DFS Used: 4270084096 (3.98 GB)
DFS Remaining: 13767794688 (12.82 GB)
DFS Used%: 0.00%
DFS Remaining%: 72.42%
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: Wed Aug 08 11:16:09 CST 2018


Name: 10.0.0.69:50010 (Slave2.Hadoop)
Hostname: Slave2.Hadoop
Decommission Status : Normal
Configured Capacity: 19010408448 (17.70 GB)
DFS Used: 28672 (28 KB)
Non DFS Used: 4329357312 (4.03 GB)
DFS Remaining: 13708521472 (12.77 GB)
DFS Used%: 0.00%
DFS Remaining%: 72.11%
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: Wed Aug 08 11:16:08 CST 2018

4、通过web页面查看集群状态

http://10.0.0.67:50070

成功最有效的方法就是向有经验的人学习！

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原文地址：https://www.cnblogs.com/yanxinjiang/p/9437964.html