操作系统 7

0集群安装，图文教程操作系统

By admin在 上张贴Cat 操作系统发表回复

环境：Ubuntu 16.04

本文将基于Hadoop
2.2.0讲解其在Linux集群上的安装方法，并对一些重要的设置项进行解释

Hadoop
分布式集群搭建初入门

需要软件：jdk ssh

相关阅读：

一、配置环境
1.设置主机名和对应的地址映射
[root@master ~]# cat /etc/hosts
127.0.0.1  localhost localhost.localdomain localhost4
localhost4.localdomain4
::1        localhost localhost.localdomain localhost6
localhost6.localdomain6
192.168.230.130 master
192.168.230.131 slave1
192.168.230.100 slave2
#分别对三台设备配置hostname和hosts

Ubuntu
13.04上搭建Hadoop环境
http://www.linuxidc.com/Linux/2013-06/86106.htm

2.在三个节点上分别新建hadoop用户
[root@master ~]# tail -1 /etc/passwd
hadoop:x:1001:1001::/home/hadoop:/bin/bash

Hadoop 2.8.3

Ubuntu 12.10 +Hadoop 1.2.1版本集群配置
http://www.linuxidc.com/Linux/2013-09/90600.htm

二、为hadoop配置所有节点之间的ssh免密登陆

操作系统 1

Ubuntu上搭建Hadoop环境（单机模式+伪分布模式）
http://www.linuxidc.com/Linux/2013-01/77681.htm

1.生成密钥
[hadoop@master ~]$ ssh-keygen -t rsa
Generating public/private rsa key pair.
Enter file in which to save the key (/home/hadoop/.ssh/id_rsa): 
/home/hadoop/.ssh/id_rsa already exists.
Overwrite (y/n)? y
Enter passphrase (empty for no passphrase): 
Enter same passphrase again: 
Your identification has been saved in /home/hadoop/.ssh/id_rsa.
Your public key has been saved in /home/hadoop/.ssh/id_rsa.pub.
The key fingerprint is:
1c:16:61:04:4f:76:93:cd:da:9a:08:04:15:58:7d:96 hadoop@master
The key’s randomart image is:
+–[ RSA 2048]—-+
|    .===B.o=    |
|    . .=.oE.o    |
|    .  +o o    |
|      .o .. .    |
|      .S. o    |
|        . o      |
|                |
|                |
|                |
+—————–+
[hadoop@master ~]$

操作系统 2

Ubuntu下Hadoop环境的配置
http://www.linuxidc.com/Linux/2012-11/74539.htm

2.发送公钥

安装 jdk并配置环境变量

单机版搭建Hadoop环境图文教程详解
http://www.linuxidc.com/Linux/2012-02/53927.htm

[hadoop@master ~]$ ssh-copy-id -i ~/.ssh/id_rsa.pub hadoop@slave1
The authenticity of host ‘slave1 (192.168.230.131)’ can’t be
established.
ECDSA key fingerprint is
32:1a:8a:37:f8:11:bc:cc:ec:35:e6:37:c2:b8:e1:45.
Are you sure you want to continue connecting (yes/no)? yes
/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@master ~]$

安装ssh和rshync，主要设置免密登录

搭建Hadoop环境（在Winodws环境下用虚拟机虚拟两个Ubuntu系统进行搭建）
http://www.linuxidc.com/Linux/2011-12/48894.htm

[hadoop@master ~]$ ssh-copy-id -i ~/.ssh/id_rsa.pub hadoop@slave2
[hadoop@master ~]$ ssh-copy-id -i ~/.ssh/id_rsa.pub hadoop@master
#slave1和slave2对其他节点略

sudo apt-get install ssh

  1. 网络设置

3.验证登陆

sudo apt-get install rshync

禁用防火墙

[hadoop@master ~]$ ssh hadoop@slave1
Last login: Wed Jul 26 01:11:22 2017 from master
[hadoop@slave1 ~]$ exit
logout
Connection to slave1 closed.
[hadoop@master ~]$ ssh hadoop@slave2
Last login: Wed Jul 26 13:12:00 2017 from master
[hadoop@slave2 ~]$ exit
logout
Connection to slave2 closed.
[hadoop@master ~]$

sh-keygen -t dsa -P '' -f ~/.ssh/id_dsa

service iptables stop

三、配置JAVA
1.使用xftp将hadoop-2.7.3.tar.gz和jdk-8u131-linux-x64.tar.gz上传至master
[hadoop@master ~]$ ls
hadoop-2.7.3.tar.gz  jdk-8u131-linux-x64.tar.gz

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

禁用IPv6

2.使用root用户解压并移动到/usr/local 下
[hadoop@master ~]$ exit
exit
[root@master ~]# cd /home/hadoop/
[root@master hadoop]# ls
hadoop-2.7.3.tar.gz  jdk-8u131-linux-x64.tar.gz
[root@master hadoop]# tar -zxf jdk-8u131-linux-x64.tar.gz 
[root@master hadoop]# ls
hadoop-2.7.3.tar.gz  jdk1.8.0_131  jdk-8u131-linux-x64.tar.gz
[root@master hadoop]# mv jdk1.8.0_131 /usr/local/
[root@master hadoop]# cd /usr/local/
[root@master local]# ls
bin  etc  games  include  jdk1.8.0_131  lib  lib64  libexec  sbin 
share  src
[root@master local]#

ssh

打开/etc/modprobe.d/dist.conf，添加：

3.配置java环境变量（这里使用的是全局变量）
[root@master ~]# vim /etc/profile   
#在文件末尾添加如下java环境变量
[root@master ~]# tail -5 /etc/profile
 
export JAVA_HOME=/usr/local/jdk1.8.0_131    #注意jdk版本
export JRE_HOME=$JAVA_HOME/jre
export CLASSPATH=.:$JAVA_HOME/lib:$JRE_HOME/lib
export PATH=$JAVA_HOME/bin:$PATH
[root@master ~]#
[root@master ~]# source /etc/profile    #使配置生效

安装hadoop

alias net-pf-10 off

4.测试master上的java是否配置完成

root@linuxidc.com:/usr/local/hadoop# tar -xzvf
/home/hett/Downloads/hadoop-2.8.3.tar.gz
root@linuxidc.com:/usr/local/hadoop# mv hadoop-2.8.3  hadoop
root@linuxidc.com:/usr/local# cd hadoop/
root@linuxidc.com:/usr/local/hadoop# mkdir tmp
root@linuxidc.com:/usr/local/hadoop# mkdir hdfs
root@linuxidc.com:/usr/local/hadoop# mkdir hdfs/data
root@linuxidc.com:/usr/local/hadoop# mkdir hdfs/name
root@linuxidc.com:/usr/local/hadoop# nano
/etc/profile

alias ipv6 off

[root@master ~]# java -version
java version “1.8.0_131”
Java(TM) SE Runtime Environment (build 1.8.0_131-b11)
Java HotSpot(TM) 64-Bit Server VM (build 25.131-b11, mixed mode)
[root@master ~]#

配置
export HADOOP_HOME=/usr/local/hadoop
export JAVA_HOME=/usr/local/jdk1.8.0_151
export JRE_HOME=${JAVA_HOME}/jre
export CLASSPATH=.:${JAVA_HOME}/lib:${JRE_HOME}/lib
export PATH=${JAVA_HOME}/bin:$PATH:$HADOOP_HOME/bin

重新系统之后，可以通过命令：

5.使用scp将jdk拷贝到slave1和slave2
12 [root@master ~]# scp -r /usr/local/jdk1.8.0_131/
root@slave1:/usr/local/
[root@master ~]# scp -r /usr/local/jdk1.8.0_131/
root@slave2:/usr/local/

root@linuxidc.com:/usr/local/hadoop# source /etc/profile

lsmod|grep ipv6

6.配置slave1和slave2上的环境变量（同步骤3），配置完后使用java
-version验证一下

root@linuxidc.com:/usr/local/hadoop# cd etc/hadoop/
root@linuxidc.com:/usr/local/hadoop/etc/hadoop# ls
capacity-scheduler.xml      httpfs-env.sh            mapred-env.sh
configuration.xsl          httpfs-log4j.properties 
mapred-queues.xml.template
container-executor.cfg      httpfs-signature.secret 
mapred-site.xml.template
core-site.xml              httpfs-site.xml          slaves
hadoop-env.cmd              kms-acls.xml           
ssl-client.xml.example
hadoop-env.sh              kms-env.sh             
ssl-server.xml.example
hadoop-metrics2.properties  kms-log4j.properties    yarn-env.cmd
hadoop-metrics.properties  kms-site.xml            yarn-env.sh
hadoop-policy.xml          log4j.properties        yarn-site.xml
hdfs-site.xml              mapred-env.cmd
root@linuxidc.com:/usr/local/hadoop/etc/hadoop#

查看ipv6模块是否已经不再加载

四、配置hadoop环境

root@linuxidc.com:/usr/local/hadoop/etc/hadoop#
nano hadoop-env.sh

  1. 安装与配置

1.解压hadoop并移动到/usr/local 下
[root@master ~]# cd /home/hadoop/
[root@master hadoop]# ls
hadoop-2.7.3.tar.gz  jdk-8u131-linux-x64.tar.gz
[root@master hadoop]# tar -zxf hadoop-2.7.3.tar.gz 
[root@master hadoop]# mv hadoop-2.7.3 /usr/local/hadoop
[root@master hadoop]# ls /usr/local/
bin  etc  games  hadoop  include  jdk1.8.0_131  lib  lib64  libexec 
sbin  share  src

export 
JAVA_HOME=/usr/local/jdk1.8.0_151
操作系统 3

2.1 安装前的准备

2.更改hadoop的文件所属用户
[root@master ~]# cd /usr/local
[root@master local]# chown -R hadoop:hadoop /usr/local/hadoop
[root@master local]# ll
drwxr-xr-x  9 hadoop hadoop 149 Aug 17  2016 hadoop
[root@master local]#

配置yarn-env.sh

在安装hadoop前需要安装ssh，配置各节点间的基于密钥的免密码登录，安装jdk1.7并配置JAVA_HOME，关于这些操作请参考其他文档，本文不做赘述，只给出/etc/profile中关于JAVA_HOME和HADOOP_HOME的配置参考：

3.配置hadoop环境变量

export  JAVA_HOME=/usr/local/jdk1.8.0_151

JAVA_HOME=/usr/java/jdk1.7.0_51
HADOOP_HOME=/usr/local/hadoop
PATH=$PATH:$JAVA_HOME/bin:$HADOOP_HOME/bin:$HADOOP_HOME/sbin
export JAVA_HOME HADOOP_HOME PATH

[root@master local]# vim /etc/profile
[root@master local]# tail -4 /etc/profile
 
#hadoop
export HADOOP_HOME=/usr/local/hadoop    #注意路径
export PATH=”$PATH:$HADOOP_HOME/bin:$HADOOP_HOME/sbin”
[root@master local]# 
[root@master local]# source /etc/profile    #使配置生效

3）配置core-site.xml 
添加如下配置：

注：为了方便起见，我们将$HADOOP_HOME/sbin也加入到了PATH中,同时为了在输入命令时避免同名cmd文件的干扰，可以使用rm
-f $HADOOP_HOME/bin/*.cmd;rm -f
$HADOOP_HOME/sbin/*.cmd;删除cmd文件。

4.测试

<configuration>
 <property>
    <name>fs.default.name</name>
    <value>hdfs://localhost:9000</value>
    <description>HDFS的URI，文件系统://namenode标识:端口号</description>
</property>

<property>
    <name>hadoop.tmp.dir</name>
    <value>/usr/hadoop/tmp</value>
    <description>namenode上本地的hadoop临时文件夹</description>
</property>
</configuration>

2.2 配置必要的环境变量

[root@master local]# hadoop version
Hadoop 2.7.3
Subversion -r
baa91f7c6bc9cb92be5982de4719c1c8af91ccff
Compiled by root on 2016-08-18T01:41Z
Compiled with protoc 2.5.0
From source with checksum 2e4ce5f957ea4db193bce3734ff29ff4
This command was run using
/usr/local/hadoop/share/hadoop/common/hadoop-common-2.7.3.jar
[root@master local]#

4），配置hdfs-site.xml 
添加如下配置

本文安装基于这样一个约定或者说偏好：安装程序位于/usr/local(或者/opt),生成的文件和相关数据文件集中放置于/var/hadoop,将发行包解压至/usr/local(或者/opt)后，分别编辑${HADOOP_HOME}/etc/hadoop/hadoop-env.sh和${HADOOP_HOME}/etc/hadoop/yarn-env.sh，在两个文件中找到并修改或者是添加下列环境变量：

5.配置hadoop-env.sh
[root@master local]# cd $HADOOP_HOME/etc/hadoop
[root@master hadoop]# pwd
/usr/local/hadoop/etc/hadoop
[root@master hadoop]# 
[root@master hadoop]# vim hadoop-env.sh 
[root@master hadoop]# tail -1 hadoop-env.sh 
export JAVA_HOME=/usr/local/jdk1.8.0_131    #在末尾添加
[root@master hadoop]#

<configuration>
<!—hdfs-site.xml-->
<property>
    <name>dfs.name.dir</name>
    <value>/usr/hadoop/hdfs/name</value>
    <description>namenode上存储hdfs名字空间元��据 </description> 
</property>

<property>
    <name>dfs.data.dir</name>
    <value>/usr/hadoop/hdfs/data</value>
    <description>datanode上数据块的物理存储位置</description>
</property>

<property>
    <name>dfs.replication</name>
    <value>1</value>
    <description>副本个数，配置默认是3,应小于datanode机器数量</description>
</property>
</configuration>

export JAVA_HOME=/your/java/home
export HADOOP_LOG_DIR=/var/hadoop/logs
export HADOOP_COMMON_LIB_NATIVE_DIR=${HADOOP_PREFIX}/lib/native
export HADOOP_OPTS=”-Djava.library.path=$HADOOP_PREFIX/lib”

6.配置core-site.xml
<configuration>
<!– 指定hdfs的nameService –>
    <property>
        <name>fs.defaultFS</name>
        <value>hdfs://master:9000</value>
    </property>
</configuration>

5），配置mapred-site.xml 
添加如下配置：

上述环境变量的配置都不是必须的，对于第一项配置原文件的写法是export
JAVA_HOME=${JAVA_HOME}，但在集群环境下启动时可能会报JAVA_HOME is not
set and could not be
found错误，从该项的注释上我们了解到，在集群环境下即使各结点都正确地配置了JAVA_HOME，这里最好还是显示地重新声明一遍JAVA_HOME.第二项配置是指定log的存放目录，默认位置是安装目录下的logs文件夹，按前文约定，本次安装将log文件置于/var/hadoop/logs下。对第三项和第四顶配置要视情况添加，如果出现4.2节所描述的问题则这两项是必须的！

7.配置hdfs-site.xml
<configuration>
    <!– 数据节点数 –>
    <property>
      <name>dfs.replication</name>
      <value>1</value>
    </property>
    <!– nameNode数据目录 –>
    #目录不存在需要手动创建，并把所属改为hadoop
    <property>
      <name>dfs.namenode.name.dir</name>
      <value>/usr/local/hadoop/dfs/name</value>   
    </property>
    <!– dataNode数据目录 –>
    #目录不存在需要手动创建，并把所属改为hadoop
    <property>
      <name>dfs.datanode.data.dir</name>
      <value>/usr/local/hadoop/dfs/data</value>
    </property>
</configuration>

 

2.3 配置${HADOOP_HOME}/etc/hadoop/core-site.xml

8.配置yarn-site.xml
<configuration>
    <!– 指定YARN的ResourceManager的地址 –>
    <property>
        <name>yarn.resourcemanager.hostname</name>
        <value>master</value>
    </property>
    <!– reducer取数据的方式 –>
    <property>
        <name>yarn.nodemanager.aux-services</name>
        <value>mapreduce_shuffle</value>
    </property>
</configuration>

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

<configuration>
    <property>
        <name>fs.defaultFS</name>
        <value>hdfs://YOUR-NAMENODE:9000</value>
    </property>
    <property>
        <name>hadoop.tmp.dir</name>
        <value>/var/hadoop</value>
    </property>
</configuration>

9.配置mapred-site.xml
[root@master hadoop]# cp mapred-site.xml.template mapred-site.xml
[root@master hadoop]# vim mapred-site.xml
<configuration>
    <property>
        <name>mapreduce.framework.name</name>
        <value>yarn</value>
    </property>
</configuration>

6），配置yarn-site.xml 
添加如下配置：

core-site.xml的各项默认配置可参考：

10.配置slaves
[root@master hadoop]# vim slaves 
[root@master hadoop]# cat slaves 
slave1
slave2
[root@master hadoop]#

<configuration>
<property>
        <name>yarn.nodemanager.aux-services</name>
        <value>mapreduce_shuffle</value>
</property>
<property>
        <name>yarn.resourcemanager.webapp.address</name>
        <value>192.168.241.128:8099</value>
</property>
</configuration>

对于一个新集群来说，唯一必须修改的项是：fs.defaultFS，该项指明了文件系统的访问入口，实际上是告知所有的datanode它们的namenode是哪一个从而建立起namenode与各datanode之间的通信。

11.使用scp将配置好的hadoop传输到slave1和slave2节点上
[root@master ~]# scp -r /usr/local/hadoop root@slave1:/usr/local/
[root@master ~]# scp -r /usr/local/hadoop root@slave2:/usr/local/

4，Hadoop启动 
1）格式化namenode

除此之外，按照前文约定，我们把hadoop.tmp.dir设置为/var/hadoop。观察core-default.xml我们可以发现，在所有涉及目录的配置项上，默认都是在${hadoop.tmp.dir}之下建立子文件夹，所以本次安装我们只简单地将hadoop.tmp.dir的原默认值/tmp/hadoop-${user.name}改为/var/hadoop，将所有hadoop生成和使用的文件集中/var/hadoop下，避免与/tmp目录下若干其他文件混杂在一起。

12.配置slave1和slave2上的环境变量（同步骤3），配置完后使用hadoop
version验证一下

$ bin/hdfs namenode –format

更多详情见请继续阅读下一页的精彩内容：
http://www.linuxidc.com/Linux/2014-04/100934p2.htm

13.格式化 hdfs namenode–format
[root@master hadoop]# su hadoop
[hadoop@master hadoop]$ cd /usr/local/hadoop/
[hadoop@master hadoop]$ hdfs namenode -format   
#一定要在hadoop用户下进行
17/07/26 20:26:12 INFO namenode.NameNode: STARTUP_MSG: 
/************************************************************
STARTUP_MSG: Starting NameNode
STARTUP_MSG:  host = master/192.168.230.130
STARTUP_MSG:  args = [-format]
STARTUP_MSG:  version = 2.7.3
.
.
.
17/07/26 20:26:15 INFO util.ExitUtil: Exiting with status 0    #status
为0才是成功
17/07/26 20:26:15 INFO namenode.NameNode: SHUTDOWN_MSG: 
/************************************************************
SHUTDOWN_MSG: Shutting down NameNode at master/192.168.230.130
************************************************************/
[hadoop@master hadoop]$

2）启动NameNode 和 DataNode 守护进程

操作系统 4

五、启动hadoop服务

$ sbin/start-dfs.sh

1.启动所有的服务
[hadoop@master dfs]$ start-all.sh 
This script is Deprecated. Instead use start-dfs.sh and start-yarn.sh
Starting namenodes on [master]
hadoop@master’s password:    #输入master上的hadoop的密码
master: starting namenode, logging to
/usr/local/hadoop/logs/hadoop-hadoop-namenode-master.out
slave1: starting datanode, logging to
/usr/local/hadoop/logs/hadoop-hadoop-datanode-slave1.out
slave2: starting datanode, logging to
/usr/local/hadoop/logs/hadoop-hadoop-datanode-slave2.out
Starting secondary namenodes [0.0.0.0]
hadoop@0.0.0.0’s password:    #输入master上的hadoop的密码
0.0.0.0: starting secondarynamenode, logging to
/usr/local/hadoop/logs/hadoop-hadoop-secondarynamenode-master.out
starting yarn daemons
starting resourcemanager, logging to
/usr/local/hadoop/logs/yarn-hadoop-resourcemanager-master.out
slave1: starting nodemanager, logging to
/usr/local/hadoop/logs/yarn-hadoop-nodemanager-slave1.out
slave2: starting nodemanager, logging to
/usr/local/hadoop/logs/yarn-hadoop-nodemanager-slave2.out
[hadoop@master dfs]$

3）启动ResourceManager 和 NodeManager 守护进程

2.验证
[hadoop@master dfs]$ jps    #master上的进程
7491 Jps
6820 NameNode
7014 SecondaryNameNode
7164 ResourceManager
[hadoop@master dfs]$

$ sbin/start-yarn.sh

[root@slave1 name]# jps    #slave1上的进程
3160 NodeManager
3050 DataNode
3307 Jps
[root@slave1 name]#

  1. $ cd ~/.ssh/ # 若没有该目录，请先执行一次ssh localhost 
  2. $ ssh-keygen -t rsa              # 会有提示，都按回车就可以 
  3. $ cat id_rsa.pub >> authorized_keys  # 加入授权 

[root@slave2 name]# jps    #slave2上的进程
3233 DataNode
3469 Jps
3343 NodeManager
[root@slave2 name]#

3.使用浏览器管理

root@linuxidc.com:~# cd /usr/local/hadoop/
root@linuxidc.com:/usr/local/hadoop# sbin/start-all.sh
This script is Deprecated. Instead use start-dfs.sh and start-yarn.sh
Starting namenodes on [localhost]
localhost: starting namenode, logging to
/usr/local/hadoop/logs/hadoop-root-namenode-linuxidc.com.out
localhost: starting datanode, logging to
/usr/local/hadoop/logs/hadoop-root-datanode-linuxidc.com.out
……..

操作系统 5

5，启动验证 
1）执行jps命令，有如下进程，说明Hadoop正常启动

操作系统 6

# jps
6097 NodeManager
11044 Jps
7497 -- process information unavailable
8256 Worker
5999 ResourceManager
5122 SecondaryNameNode
8106 Master
4836 NameNode
4957 DataNode

Hadoop项目之基于CentOS7的Cloudera
5.10.1（CDH）的安装部署 
http://www.linuxidc.com/Linux/2017-04/143095.htm

 操作系统 7

Hadoop2.7.2集群搭建详解（高可用） 
http://www.linuxidc.com/Linux/2017-03/142052.htm

Hadoop项目之基于CentOS7的Cloudera
5.10.1（CDH）的安装部署 
http://www.linuxidc.com/Linux/2017-04/143095.htm

使用Ambari来部署Hadoop集群（搭建内网HDP源） 
http://www.linuxidc.com/Linux/2017-03/142136.htm

Hadoop2.7.2集群搭建详解（高可用） 
http://www.linuxidc.com/Linux/2017-03/142052.htm

Ubuntu
14.04下Hadoop集群安装 
http://www.linuxidc.com/Linux/2017-02/140783.htm

使用Ambari来部署Hadoop集群（搭建内网HDP源） 
http://www.linuxidc.com/Linux/2017-03/142136.htm

CentOS 6.7安装Hadoop 2.7.2 
http://www.linuxidc.com/Linux/2017-08/146232.htm

Ubuntu 14.04下Hadoop集群安装 
http://www.linuxidc.com/Linux/2017-02/140783.htm

Ubuntu 16.04上构建分布式Hadoop-2.7.3集群 
http://www.linuxidc.com/Linux/2017-07/145503.htm

CentOS 6.7安装Hadoop 2.7.2 
http://www.linuxidc.com/Linux/2017-08/146232.htm

CentOS 7.3下Hadoop2.8分布式集群安装与测试 
http://www.linuxidc.com/Linux/2017-09/146864.htm

Ubuntu 16.04上构建分布式Hadoop-2.7.3集群 
http://www.linuxidc.com/Linux/2017-07/145503.htm

CentOS 7 下 Hadoop 2.6.4 分布式集群环境搭建 
http://www.linuxidc.com/Linux/2017-06/144932.htm

CentOS 7.3下Hadoop2.8分布式集群安装与测试 
http://www.linuxidc.com/Linux/2017-09/146864.htm

Hadoop2.7.3+Spark2.1.0完全分布式集群搭建过程 
http://www.linuxidc.com/Linux/2017-06/144926.htm

CentOS 7 下 Hadoop 2.6.4 分布式集群环境搭建 
http://www.linuxidc.com/Linux/2017-06/144932.htm

更多Hadoop相关信息见Hadoop 专题页面 http://www.linuxidc.com/topicnews.aspx?tid=13

Hadoop2.7.3+Spark2.1.0完全分布式集群搭建过程 
http://www.linuxidc.com/Linux/2017-06/144926.htm

本文永久更新链接地址：http://www.linuxidc.com/Linux/2017-10/147640.htm

更多Hadoop相关信息见Hadoop 专题页面 http://www.linuxidc.com/topicnews.aspx?tid=13

操作系统 8

本文永久更新链接地址：http://www.linuxidc.com/Linux/2017-12/149854.htm

操作系统 9