Hadoop集群部署,就是以Cluster mode方式进行部署。本文是基于JDK1.7.0_79,hadoop2.7.5。

 1.Hadoop的节点构成如下:

HDFS daemon:  NameNode, SecondaryNameNode, DataNode

YARN damones: ResourceManager, NodeManager, WebAppProxy

MapReduce Job History Server

本次测试的分布式环境为:Master 1台 (test166),Slave 1台(test167)

2.1 安装JDK及下载解压hadoop

JDK安装可参考:https://www.cnblogs.com/Dylansuns/p/6974272.html 或者简单安装:https://www.cnblogs.com/shihaiming/p/5809553.html

从官网下载Hadoop最新版2.7.5

[hadoop@hadoop-master ~]$ su - hadoop
[hadoop@hadoop-master ~]$ cd /usr/hadoop/
[hadoop@hadoop-master ~]$ wget http://mirrors.shu.edu.cn/apache/hadoop/common/hadoop-2.7.5/hadoop-2.7.5.tar.gz

将hadoop解压到/usr/hadoop/下

[hadoop@hadoop-master ~]$ tar zxvf /root/hadoop-2.7..tar.gz

结果:

[hadoop@hadoop-master ~]$ ll
total
drwxr-xr-x. hadoop hadoop Jan : Desktop
drwxr-xr-x. hadoop hadoop Jan : Documents
drwxr-xr-x. hadoop hadoop Jan : Downloads
drwxr-xr-x. hadoop hadoop Feb : hadoop-2.7.
-rw-rw-r--. hadoop hadoop Dec : hadoop-2.7..tar.gz
drwxr-xr-x. hadoop hadoop Jan : Music
drwxr-xr-x. hadoop hadoop Jan : Pictures
drwxr-xr-x. hadoop hadoop Jan : Public
drwxr-xr-x. hadoop hadoop Jan : Templates
drwxr-xr-x. hadoop hadoop Jan : Videos
[hadoop@hadoop-master ~]$

2.2 在各节点上设置主机名及创建hadoop组和用户

所有节点(master,slave)

 [root@hadoop-master ~]#  su - root
[root@hadoop-master ~]# vi /etc/hosts
10.86.255.166 hadoop-master
10.86.255.167 slave1
注意:修改hosts中,是立即生效的,无需source或者. 。

先使用

建立hadoop用户组

新建用户,useradd -d /usr/hadoop -g hadoop -m hadoop (新建用户hadoop指定用户主目录/usr/hadoop 及所属组hadoop)

passwd hadoop 设置hadoop密码(这里设置密码为hadoop)

[root@hadoop-master ~]# groupadd hadoop 
[root@hadoop-master ~]# useradd -d /usr/hadoop -g hadoop -m hadoop
[root@hadoop-master ~]# passwd hadoop

2.3 在各节点上设置SSH无密码登录

最终达到目的:即在master:节点执行  ssh hadoop@salve1不需要密码,此处只需配置master访问slave1免密。

su - hadoop

进入~/.ssh目录

执行:ssh-keygen -t rsa,一路回车

生成两个文件,一个私钥,一个公钥,在master1中执行:cp id_rsa.pub authorized_keys

[hadoop@hadoop-master ~]$ su - hadoop
[hadoop@hadoop-master ~]$ pwd
/usr/hadoop
[hadoop@hadoop-master ~]$ cd .ssh
[hadoop@hadoop-master .ssh]$ ssh-keygen -t rsa
Generating public/private rsa key pair.
Enter file in which to save the key (/usr/hadoop/.ssh/id_rsa):
Enter passphrase (empty for no passphrase):
Enter same passphrase again:
Your identification has been saved in /usr/hadoop/.ssh/id_rsa.
Your public key has been saved in /usr/hadoop/.ssh/id_rsa.pub.
The key fingerprint is:
:b2::8c:e7::1d:4c:2f:::1a:::bb:de hadoop@hadoop-master
The key's randomart image is:
+--[ RSA ]----+
|=+*.. . . |
|oo O . o . |
|. o B + . |
| = + . . |
| + o S |
| . + |
| . E |
| |
| |
+-----------------+
[hadoop@hadoop-master .ssh]$
[hadoop@hadoop-master .ssh]$ cp id_rsa.pub authorized_keys
[hadoop@hadoop-master .ssh]$ ll
total 16
-rwx------. 1 hadoop hadoop 1230 Jan 31 23:27 authorized_keys
-rwx------. 1 hadoop hadoop 1675 Feb 23 19:07 id_rsa
-rwx------. 1 hadoop hadoop  402 Feb 23 19:07 id_rsa.pub
-rwx------. 1 hadoop hadoop  874 Feb 13 19:40 known_hosts
[hadoop@hadoop-master .ssh]$

 2.3.1:本机无密钥登录

[hadoop@hadoop-master ~]$ pwd
/usr/hadoop
[hadoop@hadoop-master ~]$ chmod -R .ssh
[hadoop@hadoop-master ~]$ cd .ssh
[hadoop@hadoop-master .ssh]$ chmod 600 authorized_keys
[hadoop@hadoop-master .ssh]$ ll
total 16
-rwx------. 1 hadoop hadoop 1230 Jan 31 23:27 authorized_keys
-rwx------. 1 hadoop hadoop 1679 Jan 31 23:26 id_rsa
-rwx------. 1 hadoop hadoop  410 Jan 31 23:26 id_rsa.pub
-rwx------. 1 hadoop hadoop  874 Feb 13 19:40 known_hosts

验证:
没有提示输入密码则表示本机无密钥登录成功,如果此步不成功,后续启动hdfs脚本会要求输入密码

[hadoop@hadoop-master ~]$ ssh hadoop@hadoop-master
Last login: Fri Feb :: from hadoop-master
[hadoop@hadoop-master ~]$

2.3.2:master与其他节点无密钥登录       

( 若已有authorized_keys,则执行ssh-copy-id ssh-copy-id -i ~/.ssh/id_rsa.pub hadoop@slave1 上面命令的功能ssh-copy-id将pub值写入远程机器的~/.ssh/authorized_key中

)

从master中把authorized_keys分发到各个结点上(会提示输入密码,输入slave1相应的密码即可):

scp /usr/hadoop/.ssh/authorized_keys hadoop@slave1:/home/master/.ssh
/usr/bin/ssh-copy-id: INFO: attempting to log in with the new key(s), to filter out any that are already installed
/usr/bin/ssh-copy-id: INFO: 1 key(s) remain to be installed -- if you are prompted now it is to install the new keys
hadoop@slave1's password:

Number of key(s) added: 1

Now try logging into the machine, with:   "ssh 'hadoop@slave1'" and check to make sure that only the key(s) you wanted were added.

[hadoop@hadoop-master .ssh]$


然后在各个节点对authorized_keys执行(一定要执行该步,否则会报错):chmod 600 authorized_keys

保证.ssh 700,.ssh/authorized_keys 600权限

测试如下(第一次ssh时会提示输入yes/no,输入yes即可):

[hadoop@hadoop-master ~]$ ssh hadoop@slave1
Last login: Fri Feb ::
[hadoop@slave1 ~]$
[hadoop@slave1 ~]$ exit
logout
Connection to slave1 closed.
[hadoop@hadoop-master ~]$

2.4 设置Hadoop的环境变量

Master及slave1都需操作

[root@hadoop-master ~]#  su - root

[root@hadoop-master ~]#  vi /etc/profile  末尾添加,保证任何路径下可执行hadoop命令

JAVA_HOME=/usr/java/jdk1..0_79

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

PATH=/usr/hadoop/hadoop-2.7./bin:$JAVA_HOME/bin:$PATH

让设置生效

[root@hadoop-master ~]# source /etc/profile

或者

[root@hadoop-master ~]# . /etc/profile

Master设置hadoop环境

su - hadoop
1 # vi etc/hadoop/hadoop-env.sh 新增以下内容
2 export JAVA_HOME=/usr/java/jdk1..0_79
export HADOOP_HOME=/usr/hadoop/hadoop-2.7.

此时hadoop安装已完成,可执行hadoop命令,后续步骤为集群部署

[hadoop@hadoop-master ~]$ hadoop
Usage: hadoop [--config confdir] [COMMAND | CLASSNAME]
CLASSNAME run the class named CLASSNAME
or
where COMMAND is one of:
fs run a generic filesystem user client
version print the version
jar <jar> run a jar file
note: please use "yarn jar" to launch
YARN applications, not this command.
checknative [-a|-h] check native hadoop and compression libraries availability
distcp <srcurl> <desturl> copy file or directories recursively
archive -archiveName NAME -p <parent path> <src>* <dest> create a hadoop archive
classpath prints the class path needed to get the
credential interact with credential providers
Hadoop jar and the required libraries
daemonlog get/set the log level for each daemon
trace view and modify Hadoop tracing settings Most commands print help when invoked w/o parameters.
[hadoop@hadoop-master ~]$

2.5 Hadoop设定

2.5.0 开放端口50070

注:centos7版本对防火墙进行 加强,不再使用原来的iptables,启用firewall

Master节点:

su - root

firewall-cmd --state 查看状态(若关闭,则先开启systemctl start firewalld)

firewall-cmd --list-ports 查看已开放的端口

开启8000端口:firewall-cmd --zone=public(作用域) --add-port=/tcp(端口和访问类型) --permanent(永久生效)

firewall-cmd --zone=public --add-port=/tcp --permanent

firewall-cmd --zone=public --add-port=/tcp --permanent

firewall-cmd --zone=public --add-port=/tcp --permanent

firewall-cmd --zone=public --add-port=/tcp --permanent

firewall-cmd --zone=public --add-port=/tcp --permanent

firewall-cmd --zone=public --add-port=/tcp --permanent

firewall-cmd --zone=public --add-port=/tcp --permanent

firewall-cmd --reload -重启防火墙

firewall-cmd --list-ports 查看已开放的端口

systemctl stop firewalld.service停止防火墙

systemctl disable firewalld.service禁止防火墙开机启动

关闭端口:firewall-cmd --zone= public --remove-port=/tcp --permanent

Slave1节点:

su - root
systemctl stop firewalld.service停止防火墙 systemctl disable firewalld.service禁止防火墙开机启动

2.5.1 Master节点的设定文件中指定Slave节点

[hadoop@hadoop-master hadoop]$ pwd
/usr/hadoop/hadoop-2.7./etc/hadoop
[hadoop@hadoop-master hadoop]$ vi slaves
slave1
2.5.2 在各节点指定HDFS文件存储的位置(默认是/tmp)

Master节点: namenode

创建目录并赋予权限

Su - root

# mkdir -p   /usr/local/hadoop-2.7./tmp/dfs/name

# chmod -R    /usr/local/hadoop-2.7./tmp

# chown   -R hadoop:hadoop /usr/local/hadoop-2.7.

Slave节点:datanode

创建目录并赋予权限,改变所有者

Su - root

# mkdir -p   /usr/local/hadoop-2.7./tmp/dfs/data

# chmod -R    /usr/local/hadoop-2.7./tmp

# chown -R   hadoop:hadoop /usr/local/hadoop-2.7.

2.5.3 Master中设置配置文件(包括yarn)

su - hadoop 
1 # vi etc/hadoop/core-site.xml <configuration> <property> <name>fs.default.name</name> <value>hdfs://hadoop-master:9000</value> </property> <property> <name>hadoop.tmp.dir</name> <value>/usr/local/hadoop-2.7./tmp</value> </property> </configuration>
 # vi   etc/hadoop/hdfs-site.xml

 <configuration>

 <property>

         <name>dfs.replication</name>

       <value></value>

 </property>

   <property>

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

         <value>/usr/local/hadoop-2.7./tmp/dfs/name</value>

 </property>

     <property>

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

       <value>/usr/local/hadoop-2.7./tmp/dfs/data</value>

     </property>

 </configuration>
 #cp mapred-site.xml.template   mapred-site.xml

 # vi   etc/hadoop/mapred-site.xml

 <configuration>

     <property>

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

         <value>yarn</value>

     </property>

 </configuration>

YARN设定

yarn的组成(Master节点: resourcemanager ,Slave节点: nodemanager)

以下仅在master操作,后面步骤会统一分发至salve1。

 # vi   etc/hadoop/yarn-site.xml

 <configuration>

     <property>

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

         <value>hadoop-master</value>

     </property>

     <property>

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

         <value>mapreduce_shuffle</value>

     </property>

 </configuration>

2.5.4Master的文件分发至slave1节点。

cd /usr/hadoop

scp -r  hadoop-2.7. hadoop@hadoop-master:/usr/hadoop

2.5.5 Master上启动job history serverSlave节点上指定

此步2.5.5可跳过

Mater:

启动jobhistory daemon

# sbin/mr-jobhistory-daemon.sh start historyserver

确认

# jps

访问Job History Server的web页面

http://localhost:19888/

Slave节点:

 # vi   etc/hadoop/mapred-site.xml

     <property>

         <name>mapreduce.jobhistory.address</name>

         <value>hadoop-master:</value>

     </property>

2.5.6 格式化HDFSMaster

# hadoop namenode -format

Master结果:

2.5.7 Master上启动daemonSlave上的服务会一起启动

启动:

[hadoop@hadoop-master hadoop-2.7.]$ pwd
/usr/hadoop/hadoop-2.7.[hadoop@hadoop-master hadoop-2.7.]$ sbin/start-all.sh
This script is Deprecated. Instead use start-dfs.sh and start-yarn.sh
Starting namenodes on [hadoop-master]
hadoop-master: starting namenode, logging to /usr/hadoop/hadoop-2.7./logs/hadoop-hadoop-namenode-hadoop-master.out
slave1: starting datanode, logging to /usr/hadoop/hadoop-2.7./logs/hadoop-hadoop-datanode-slave1.out
Starting secondary namenodes [0.0.0.0]
0.0.0.0: starting secondarynamenode, logging to /usr/hadoop/hadoop-2.7./logs/hadoop-hadoop-secondarynamenode-hadoop-master.out
starting yarn daemons
starting resourcemanager, logging to /usr/hadoop/hadoop-2.7./logs/yarn-hadoop-resourcemanager-hadoop-master.out
slave1: starting nodemanager, logging to /usr/hadoop/hadoop-2.7./logs/yarn-hadoop-nodemanager-slave1.out
[hadoop@hadoop-master hadoop-2.7.]$

确认

Master节点:

[hadoop@hadoop-master hadoop-2.7.]$ jps
NameNode
SecondaryNameNode
Jps
ResourceManager

Slave节点:

[hadoop@slave1 ~]$ jps
NodeManager
Jps
DataNode

停止(需要的时候再停止,后续步骤需running状态):

[hadoop@hadoop-master hadoop-2.7.5]$ sbin/stop-all.sh
This script is Deprecated. Instead use stop-dfs.sh and stop-yarn.sh
Stopping namenodes on [hadoop-master]
hadoop-master: stopping namenode
slave1: stopping datanode
Stopping secondary namenodes [0.0.0.0]
0.0.0.0: stopping secondarynamenode
stopping yarn daemons
stopping resourcemanager
slave1: stopping nodemanager
no proxyserver to stop

2.5.8 创建HDFS

# hdfs dfs -mkdir /user

# hdfs dfs -mkdir   /user/test22

2.5.9 拷贝input文件到HDFS目录下

# hdfs dfs -put etc/hadoop/*.sh   /user/test22/input

查看

# hdfs dfs -ls /user/test22/input

2.5.10 执行hadoop job

统计单词的例子,此时的output是hdfs中的目录,hdfs dfs -ls可查看

# hadoop jar   share/hadoop/mapreduce/hadoop-mapreduce-examples-2.7..jar wordcount   /user/test22/input  output

确认执行结果

# hdfs dfs -cat output/*

2.5.11 查看错误日志

注:日志在salve1的*.log中而不是在master或*.out中

2.6 Q&A

1. hdfs dfs -put 报错如下,解决关闭master&salve防火墙

hdfs.DFSClient: Exception in createBlockOutputStream

java.net.NoRouteToHostException: No route to host

centos7+hadoop完全分布式集群搭建的更多相关文章

  1. hadoop伪分布式集群搭建与安装(ubuntu系统)

    1:Vmware虚拟软件里面安装好Ubuntu操作系统之后使用ifconfig命令查看一下ip; 2:使用Xsheel软件远程链接自己的虚拟机,方便操作.输入自己ubuntu操作系统的账号密码之后就链 ...

  2. Hadoop完全分布式集群搭建

    Hadoop的运行模式 Hadoop一般有三种运行模式,分别是: 单机模式(Standalone Mode),默认情况下,Hadoop即处于该模式,使用本地文件系统,而不是分布式文件系统.,用于开发和 ...

  3. 大数据之Hadoop完全分布式集群搭建

    1.准备阶段 1.1.新建三台虚拟机 Hadoop完全分市式集群是典型的主从架构(master-slave),一般需要使用多台服务器来组建.我们准备3台服务器(关闭防火墙.静态IP.主机名称).如果没 ...

  4. 基于Hadoop伪分布式集群搭建Spark

    一.前置安装 1)JDK 2)Hadoop伪分布式集群 二.Scala安装 1)解压Scala安装包 2)环境变量 SCALA_HOME = C:\ProgramData\scala-2.10.6 P ...

  5. Hadoop学习笔记(一):ubuntu虚拟机下的hadoop伪分布式集群搭建

    hadoop百度百科:https://baike.baidu.com/item/Hadoop/3526507?fr=aladdin hadoop官网:http://hadoop.apache.org/ ...

  6. hadoop HA分布式集群搭建

    概述 hadoop2中NameNode可以有多个(目前只支持2个).每一个都有相同的职能.一个是active状态的,一个是standby状态的.当集群运行时,只有active状态的NameNode是正 ...

  7. 1、hadoop HA分布式集群搭建

    概述 hadoop2中NameNode可以有多个(目前只支持2个).每一个都有相同的职能.一个是active状态的,一个是standby状态的.当集群运行时,只有active状态的NameNode是正 ...

  8. hadoop 完全分布式集群搭建

    1.在伪分布式基础上搭建,伪分布式搭建参见VM上Hadoop3.1伪分布式模式搭建 2.虚拟机准备,本次集群采用2.8.3版本与3.X版本差别不大,端口号所有差别 192.168.44.10 vmho ...

  9. 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 ...

随机推荐

  1. jQuery控制元素显示、隐藏、切换、滑动的方法

    jQuery 隐藏和显示 通过 hide() 和 show() 两个函数,jQuery 支持对 HTML 元素的隐藏和显示: 实例 $("#hide").click(functio ...

  2. cmd命令记录

    一.查看端口号的使用情况 参考经验:https://jingyan.baidu.com/article/3c48dd34491d47e10be358b8.html 1.netstat -ano,列出所 ...

  3. MySQL面试题和答案

    Mysql 的存储引擎,myisam和innodb的区别. 答: 1.MyISAM 是非事务的存储引擎,适合用于频繁查询的应用.表锁,不会出现死锁,适合小数据,小并发. 2.innodb是支持事务的存 ...

  4. docker容器里面安装ssh

    docker容器里面安装ssh https://blog.csdn.net/chengxuyuanyonghu/article/details/76619097

  5. JQuery中Ajax的Post提交在IE下中文乱码的解决方法

    原文地址:http://www.bitscn.com/pdb/ajax/316671.html 引言: 在JQuery的Ajax POST请求中,进行请求,其中的中文在后台,显示为乱码,该如何解决呢? ...

  6. android 网络广播 类似QQ动态检查网络

    private ConnectivityManager mConnectivityManager; private NetworkInfo netInfo; 在onCreate 注册广播 Intent ...

  7. ueditor 正在读取目录

    ueditor 版本为1.3.6  项目版本为2.0 引用 <script src="../ueditor/ueditor.config.js" type="tex ...

  8. python基础介绍

    一. 1.计算机基础 cpu:运算和控制:速度:飞机 内存:临时存储,供给cup数据,断电数据清空.成本高,速度:高铁 硬盘:相当于电脑的数据库,存储大量数据,数据永久保存(除非物理结构被破坏).速度 ...

  9. jQuery对象的获取与操作方法总结

    一.文章概述: 众所周知,jQuery 是一个 JavaScript 库,包含多个可重用的函数,用来辅助我们简化javascript开发,它极大地简化了 JavaScript 编程.但是需要注意的一点 ...

  10. VMware同时使用三种网络模式的虚拟机,测试连通性

    参考资料: 虚拟机中桥接不自动分配IP与设置静态IP问题: https://blog.csdn.net/u013187057/article/details/80579211 腾讯课堂: https: ...