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分享一份关于Hadoop2.2.0集群环境搭建文档

程序员文章站 2022-04-21 18:20:46
[TOC] 一，准备环境 基本配置如下： 初始化四台 虚拟机，配置如下： 修改系统时区 为方便使用建议如下配置： 安装 " " 插件； 设置 行号； 安装 插件服务； 安装 插件服务并加以配置，方便文件上传下载； 在 上安装 客户端； 在 上安装 客户端。 需要的软件： 在虚拟机做如下步骤：创建目录 ......

目录

一，准备环境

  • pc基本配置如下：
处理器：intel(r) core(tm) i5-3230m cpu @ 2.6ghz 2.60ghz
安装内存（ram）: 12.0gb
系统类型：64位操作系统

分享一份关于Hadoop2.2.0集群环境搭建文档

  • 初始化四台ubuntu-14.04_x64虚拟机，配置如下：
内存：2gb
处理器：1
硬盘：40g
网络适配器：nat
系统：linux ubuntu 4.4.0-142-generic #168~14.04.1-ubuntu smp sat jan 19 11:26:28 utc 2019 x86_64 x86_64 x86_64 gnu/linux

分享一份关于Hadoop2.2.0集群环境搭建文档

  • 修改系统时区
 ~ sudo timedatectl set-timezone "asia/shanghai"
  • 为方便使用建议如下配置：

安装插件；

设置vim行号；

安装ssh插件服务；

安装vsftpd插件服务并加以配置，方便文件上传下载；

在pc上安装xshell客户端；

在pc上安装ftp客户端。

  • 需要的软件：
jdk-7u51-linux-x64.gz  链接：http://pan.baidu.com/s/1dfft1gp  密码：cc5t

hadoop-2.2.0-x64.tar.gz https://download.csdn.net/download/wwyymmddbb/10203840

  • 在虚拟机做如下步骤：创建目录，存储工具包/home/zhangbocheng，并利用ftp上传相关软件包。
    分享一份关于Hadoop2.2.0集群环境搭建文档
    分享一份关于Hadoop2.2.0集群环境搭建文档

    二，安装单机环境

  • 安装java1.7.0

~ mkdir java
~ cd java   
➜  java tar -xf /home/zhangbocheng/jdk-7u51-linux-x64.gz 
➜  java ln -s jdk1.7.0_51 jdk
➜  java vi ~/.bashrc 
➜  java vi ~/.zshrc
export java_home=$home/java/java
export path=$java_home/bin:$path

:wq            
➜  java source ~/.bashrc 
➜  java source ~/.zshrc
➜  java java -version 
java version "1.7.0_51"
java(tm) se runtime environment (build 1.7.0_51-b13)
java hotspot(tm) 64-bit server vm (build 24.51-b03, mixed mode)

分享一份关于Hadoop2.2.0集群环境搭建文档

  • 安装hadoop2.2.0 
➜  ~ tar -xf /home/zhangbocheng/hadoop-2.2.0-x64.tar.gz
➜  ~ mv hadoop-2.2.0 hadoop2.2.0    
➜  ~ mkdir hadoop2.2.0/hdfs  
➜  ~ mkdir hadoop2.2.0/hdfs/name
➜  ~ mkdir hadoop2.2.0/hdfs/data
➜  ~ mkdir hadoop2.2.0/logs     
➜  ~ mkdir hadoop2.2.0/tmp
  • 配置环境
➜  ~ vi .zshrc 
export java_home=$home/java/jdk
export classpath=$java_home/lib/tool.jar:$java_home/lib/dt.jar
export path=$java_home/bin:$path
➜  ~ source .zshrc 
➜  ~ echo $classpath
/home/zhangbc/java/jdk/lib/tool.jar:/home/zhangbc/java/jdk/lib/dt.jar
➜  ~ vi .zshrc 
export hadoop_home=$home/hadoop2.2.0
export path=$hadoop_home/sbin:$hadoop_home/bin:$java_home/bin:$path
export hadoop_log_dir=$hadoop_home/logs
export yarn_log_dir=$hadoop_log_dir
➜  ~ source .zshrc 
➜  ~ hadoop version
hadoop 2.2.0
subversion unknown -r unknown
compiled by root on 2014-09-21t22:41z
compiled with protoc 2.5.0
from source with checksum 79e53ce7994d1628b240f09af91e1af4
this command was run using /home/zhangbc/hadoop2.2.0/share/hadoop/common/hadoop-common-2.2.0.jar

分享一份关于Hadoop2.2.0集群环境搭建文档

  • 修改hadoop2.2.0配置文件
# 检查并修改以下三个文件中java_home的值
➜  ~ vi hadoop2.2.0/etc/hadoop/hadoop-env.sh 
➜  ~ vi hadoop2.2.0/etc/hadoop/yarn-env.sh 
➜  ~ vi hadoop2.2.0/etc/hadoop/mapred-env.sh # 只需要去掉注释加以修改
export java_home=${java_home} # 错误
export java_home=/home/zhangbc/java/jdk # 正确

# 添加集群的slave节点
➜  ~ vi hadoop2.2.0/etc/hadoop/slaves 
# localhost
slave_1
slave_2
slave_3

➜  ~ vi hadoop2.2.0/etc/hadoop/core-site.xml 
<configuration>
    <property>
        <name>fs.defaultfs</name>
        <value>hdfs://master:9000/</value>
        <descrption>设定namenode的主机名及其端口</descrption>
    </property>
    <property>
        <name>hadoop.tmp.dir</name>
        <value>/home/zhangbc/hadoop2.2.0/tmp/hadoop-${user.name}</value>
        <descrption>存储临时文件</descrption>
    </property>
    <property>
        <name>hadoop.proxyuser.hadoop.hosts</name>
        <value>*</value>
    </property>
    <property>
        <name>hadoop.proxyuser.hadoop.groups</name>
        <value>*</value>
    </property>
</configuration>


➜  ~ vi hadoop2.2.0/etc/hadoop/hdfs-site.xml
<configuration>
    <property>
        <name>dfs.namenode.http-address</name>
        <value>master:50070</value>
        <descrption>设定namenode地址及其端口</descrption>
    </property>
    <property>
        <name>dfs.namenode.secondary.http-address</name>
        <value>slave_1:50090</value>
        <descrption>设定secondnamenode地址及其端口</descrption>
    </property>
    <property>
        <name>dfs.replication</name>
        <value>3</value>
        <descrption>设定hdfs存储文件的副本个数，默认为3</descrption>
    </property>
    <property>
        <name>dfs.namenode.name.dir</name>
        <value>file:///home/zhangbc/hadoop2.2.0/hdfs/name</value>
        <descrption>设置namenode用来持续存储命名空间和交换日志的本地文件系统路径</descrption>
    </property>
    <property>
        <name>dfs.datanode.data.dir</name>
        <value>file:///home/zhangbc/hadoop2.2.0/hdfs/data</value>
        <descrption>设置datanode在本地存储文件的目录列表</descrption>
    </property>
    <property>
        <name>dfs.namenode.checkpoint.dir</name>
        <value>file:///home/zhangbc/hadoop2.2.0/hdfs/namesecondary</value>
        <descrption>设置secondarynamenode存储临时镜像的本地文件系统路径，
            若这是一个用逗号分隔的列表，则镜像会冗余复制到所有目录</descrption>
    </property>
    <property>
        <name>dfs.webhdfs.enable</name>
        <value>true</value>
        <descrption>是否允许网页浏览hdfs文件</descrption>
    </property>
    <property>
        <name>dfs.stream-buffer-size</name>
        <value>131072</value>
        <descrption>默认为4kb,作为hadoop的缓冲区，用于hapdoop读写hdfs的文件，
        还有map的输出都用到了这个缓冲区容量，131072=128kb</descrption>
    </property>
</configuration>


➜  ~ vi hadoop2.2.0/etc/hadoop/mapred-site.xml 
<configuration>
    <property>
        <name>mapreduce.framework.name</name>
        <value>yarn</value>
    </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>


➜  ~ vi hadoop2.2.0/etc/hadoop/yarn-site.xml
<configuration>
    <property>
        <name>yarn.resourcemanager.hostname</name>
        <value>master</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>
    <property>
        <name>yarn.resourcemanager.address</name>
        <value>master:8032</value>
    </property>
    <property>
        <name>yarn.resourcemanager.scheduler.address</name>
        <value>master:8030</value>
    </property>
    <property>
        <name>yarn.resourcemanager.resource-tracker.address</name>
        <value>master:8031</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>
</configuration>
  • 修改主机名称（千万不要含有下划线_）
➜  ~ sudo hostname master   # 只对当前状态生效
[sudo] password for zhangbc: 
➜  ~ hostname
master
➜  ~ sudo vi /etc/hostname # 永久修改


master
:wq
  • 关闭防火墙
➜  ~ service ufw status
ufw start/running
➜  ~ sudo service ufw stop
[sudo] password for zhangbc: 
ufw stop/waiting
➜  ~ service ufw status   
ufw stop/waiting

三，克隆vm

通过 vmware workstation工具，关闭当前虚拟机，对其克隆三台虚拟机作为从机使用。

克隆方法选择“创建完整克隆(f)”，如图所示：
分享一份关于Hadoop2.2.0集群环境搭建文档

四，搭建集群

  • 修改三台从机slave的host，并再重启使之生效。
➜  ~ sudo vi /etc/hostname
➜  ~ sudo vi /etc/hosts
➜  ~ sudo reboot
  • 对所有集群中的服务器进行检查，关闭防火墙并禁止掉。
➜  ~ sudo service ufw status
[sudo] password for zhangbc: 
ufw start/running
➜  ~ sudo service ufw stop  
ufw stop/waiting
➜  ~ sudo service ufw status
ufw stop/waiting
➜  ~ sudo ufw disable 
firewall stopped and disabled on system startup
  • 对所有集群中的服务器绑定hostname与ip 
➜  ~ sudo vi /etc/hosts
 192.168.71.128  master
 192.168.71.129  slave_1
 192.168.71.130  slave_2
 192.168.71.131  slave_3
  • 对所有集群中的服务器创建ssh密钥，完成相关验证，注意保留原有的其他密钥，以备他用
➜  .ssh mv id_rsa id_rsa_git
➜  .ssh mv id_rsa.pub id_rsa_git.pub
➜  .ssh ssh-keygen -t rsa -p '' -f ~/.ssh/id_rsa
# 生成authorized_keys
➜  .ssh cat id_rsa.pub >> authorized_keys
# 设置权限
➜  .ssh sudo chmod 600 authorized_keys 
# ssh登录本机，并退出
➜  .ssh ssh localhost 
the authenticity of host 'localhost (127.0.0.1)' can't be established.
ecdsa key fingerprint is b6:fa:8d:2b:2d:0d:e4:fd:4f:44:ed:37:3f:79:b6:ce.
are you sure you want to continue connecting (yes/no)? yes
warning: permanently added 'localhost' (ecdsa) to the list of known hosts.
welcome to ubuntu 14.04.6 lts (gnu/linux 4.4.0-142-generic x86_64)

 * documentation:  https://help.ubuntu.com/

new release '16.04.6 lts' available.
run 'do-release-upgrade' to upgrade to it.

your hardware enablement stack (hwe) is supported until april 2019.
last login: wed nov 13 20:17:41 2019 from 192.168.71.1
➜  ~ exit
connection to localhost closed.
➜  .ssh
  • 配置各个节点之间免密登录
# 将slave_1节点rsa通过ssh-copy-id分别复制到master，slave_2，slave_3
➜  ~ ssh-copy-id -i ~/.ssh/id_rsa.pub master
➜  ~ ssh-copy-id -i ~/.ssh/id_rsa.pub slave_2
➜  ~ ssh-copy-id -i ~/.ssh/id_rsa.pub slave_3
# 验证登录
➜  ~ ssh master
➜  ~ ssh slave_2
➜  ~ ssh slave_3
# 其他节点同步骤

五，hadoop启动与测试

  • 格式化文件系统
➜  ~ hdfs namenode -format
19/11/13 21:57:48 info namenode.namenode: startup_msg: 
/************************************************************
startup_msg: starting namenode
startup_msg:   host = master/192.168.71.128
startup_msg:   args = [-format]
startup_msg:   version = 2.2.0
.........
19/11/13 21:57:55 info util.exitutil: exiting with status 0  # 表示成功
.........
  • 启动hdfs 
zhangbc@master:~$ start-dfs.sh 
starting namenodes on [master]
master: starting namenode, logging to /home/zhangbc/hadoop2.2.0/logs/hadoop-zhangbc-namenode-master.out
slave_1: starting datanode, logging to /home/zhangbc/hadoop2.2.0/logs/hadoop-zhangbc-datanode-slave_1.out
slave_3: starting datanode, logging to /home/zhangbc/hadoop2.2.0/logs/hadoop-zhangbc-datanode-slave_3.out
slave_2: starting datanode, logging to /home/zhangbc/hadoop2.2.0/logs/hadoop-zhangbc-datanode-slave_2.out


zhangbc@master:~$ jps
6524 jps
5771 namenode
zhangbc@slave_1:~$ jps
4919 jps
4818 datanode
zhangbc@slave_2:~$ jps
4919 jps
4801 datanode
zhangbc@slave_3:~$ jps
4705 datanode
4800 jps

web验证：http://192.168.71.128:50070
分享一份关于Hadoop2.2.0集群环境搭建文档

  • 启动yarn 
zhangbc@master:~$ start-yarn.sh 
starting yarn daemons
starting resourcemanager, logging to /home/zhangbc/hadoop2.2.0/logs/yarn-zhangbc-resourcemanager-master.out
slave_2: starting nodemanager, logging to /home/zhangbc/hadoop2.2.0/logs/yarn-zhangbc-nodemanager-slave_2.out
slave_1: starting nodemanager, logging to /home/zhangbc/hadoop2.2.0/logs/yarn-zhangbc-nodemanager-slave_1.out
slave_3: starting nodemanager, logging to /home/zhangbc/hadoop2.2.0/logs/yarn-zhangbc-nodemanager-slave_3.out

zhangbc@master:~$ jps
5771 namenode
6642 jps
zhangbc@slave_1:~$ jps
5099 jps
4818 datanode
5011 nodemanager
zhangbc@slave_2:~$ jps
5101 jps
5016 nodemanager
4801 datanode
zhangbc@slave_2:~$ jps
5101 jps
5016 nodemanager
4801 datanode

web验证：http://192.168.71.128:8088
分享一份关于Hadoop2.2.0集群环境搭建文档

  • 管理jobhistory server 
zhangbc@master:~$ mr-jobhistory-daemon.sh start historyserver
starting historyserver, logging to /home/zhangbc/hadoop2.2.0/logs/mapred-zhangbc-historyserver-master.out
zhangbc@master:~$ mr-jobhistory-daemon.sh stop historyserver

web验证：http://192.168.71.128:19888
分享一份关于Hadoop2.2.0集群环境搭建文档

  • 集群验证
# 创建目录
zhangbc@master:~$ hdfs dfs -mkdir -p /data/wordscount
zhangbc@master:~$ hdfs dfs -mkdir -p /output

# 查看数据目录
zhangbc@master:~$ hdfs dfs -ls /data

# 上传本地文件
zhangbc@master:~$ hdfs dfs -put hadoop2.2.0/etc/hadoop/core-site.xml /data/wordscount

# 执行
zhangbc@master:~$ hadoop jar hadoop2.2.0/share/hadoop/mapreduce/hadoop-mapreduce-examples-2.2.0.jar wordcount /data/wordscount /output/wordscount
...............................
19/11/14 13:04:45 info mapreduce.job: the url to track the job: http://master:8088/proxy/application_1573705994579_0001/
19/11/14 13:04:45 info mapreduce.job: running job: job_1573705994579_0001
19/11/14 13:04:59 info mapreduce.job: job job_1573705994579_0001 running in uber mode : false
19/11/14 13:04:59 info mapreduce.job:  map 0% reduce 0%
19/11/14 13:05:14 info mapreduce.job:  map 100% reduce 0%
19/11/14 13:05:27 info mapreduce.job:  map 100% reduce 100%
19/11/14 13:05:27 info mapreduce.job: job job_1573705994579_0001 completed successfully
19/11/14 13:05:27 info mapreduce.job: counters: 43
............................................

# 查看运行结果
zhangbc@master:~$ hdfs dfs -cat /output/wordscount/part-r-00000

六，安装过程中遇到的问题及其解决方案

  • 问题1：上传文件报错
zhangbc@master:~$ hdfs dfs -put hadoop2.2.0/etc/hadoop/core-site.xml /data/wordcount
19/11/14 10:13:24 warn hdfs.dfsclient: datastreamer exception
org.apache.hadoop.ipc.remoteexception(java.io.ioexcept、ion): file /data/wordcount/core-site.xml._copying_ could only be replicated to 0 nodes instead of minreplication (=1).  there are 0 datanode(s) running and no node(s) are excluded in this operation.
    at org.apache.hadoop.hdfs.server.blockmanagement.blockmanager.choosetarget(blockmanager.java:1384)
    at org.apache.hadoop.hdfs.server.namenode.fsnamesystem.getadditionalblock(fsnamesystem.java:2477)
    at org.apache.hadoop.hdfs.server.namenode.namenoderpcserver.addblock(namenoderpcserver.java:555)
    at org.apache.hadoop.hdfs.protocolpb.clientnamenodeprotocolserversidetranslatorpb.addblock(clientnamenodeprotocolserversidetranslatorpb.java:387)
    at org.apache.hadoop.hdfs.protocol.proto.clientnamenodeprotocolprotos$clientnamenodeprotocol$2.callblockingmethod(clientnamenodeprotocolprotos.java:59582)
    at org.apache.hadoop.ipc.protobufrpcengine$server$protobufrpcinvoker.call(protobufrpcengine.java:585)
    at org.apache.hadoop.ipc.rpc$server.call(rpc.java:928)
    at org.apache.hadoop.ipc.server$handler$1.run(server.java:2048)
    at org.apache.hadoop.ipc.server$handler$1.run(server.java:2044)
    at java.security.accesscontroller.doprivileged(native method)
    at javax.security.auth.subject.doas(subject.java:415)
    at org.apache.hadoop.security.usergroupinformation.doas(usergroupinformation.java:1491)
    at org.apache.hadoop.ipc.server$handler.run(server.java:2042)

    at org.apache.hadoop.ipc.client.call(client.java:1347)
    at org.apache.hadoop.ipc.client.call(client.java:1300)
    at org.apache.hadoop.ipc.protobufrpcengine$invoker.invoke(protobufrpcengine.java:206)
    at com.sun.proxy.$proxy9.addblock(unknown source)
    at sun.reflect.nativemethodaccessorimpl.invoke0(native method)
    at sun.reflect.nativemethodaccessorimpl.invoke(nativemethodaccessorimpl.java:57)
    at sun.reflect.delegatingmethodaccessorimpl.invoke(delegatingmethodaccessorimpl.java:43)
    at java.lang.reflect.method.invoke(method.java:606)
    at org.apache.hadoop.io.retry.retryinvocationhandler.invokemethod(retryinvocationhandler.java:186)
    at org.apache.hadoop.io.retry.retryinvocationhandler.invoke(retryinvocationhandler.java:102)
    at com.sun.proxy.$proxy9.addblock(unknown source)
    at org.apache.hadoop.hdfs.protocolpb.clientnamenodeprotocoltranslatorpb.addblock(clientnamenodeprotocoltranslatorpb.java:330)
    at org.apache.hadoop.hdfs.dfsoutputstream$datastreamer.locatefollowingblock(dfsoutputstream.java:1226)
    at org.apache.hadoop.hdfs.dfsoutputstream$datastreamer.nextblockoutputstream(dfsoutputstream.java:1078)
    at org.apache.hadoop.hdfs.dfsoutputstream$datastreamer.run(dfsoutputstream.java:514)
put: file /data/wordcount/core-site.xml._copying_ could only be replicated to 0 nodes instead of minreplication (=1).  there are 0 datanode(s) running and no node(s) are excluded in this operation.
19/11/14 10:13:24 error hdfs.dfsclient: failed to close file /data/wordcount/core-site.xml._copying_
org.apache.hadoop.ipc.remoteexception(java.io.ioexception): file /data/wordcount/core-site.xml._copying_ could only be replicated to 0 nodes instead of minreplication (=1).  there are 0 datanode(s) running and no node(s) are excluded in this operation.
    at org.apache.hadoop.hdfs.server.blockmanagement.blockmanager.choosetarget(blockmanager.java:1384)
    at org.apache.hadoop.hdfs.server.namenode.fsnamesystem.getadditionalblock(fsnamesystem.java:2477)
    at org.apache.hadoop.hdfs.server.namenode.namenoderpcserver.addblock(namenoderpcserver.java:555)
    at org.apache.hadoop.hdfs.protocolpb.clientnamenodeprotocolserversidetranslatorpb.addblock(clientnamenodeprotocolserversidetranslatorpb.java:387)
    at org.apache.hadoop.hdfs.protocol.proto.clientnamenodeprotocolprotos$clientnamenodeprotocol$2.callblockingmethod(clientnamenodeprotocolprotos.java:59582)
    at org.apache.hadoop.ipc.protobufrpcengine$server$protobufrpcinvoker.call(protobufrpcengine.java:585)
    at org.apache.hadoop.ipc.rpc$server.call(rpc.java:928)
    at org.apache.hadoop.ipc.server$handler$1.run(server.java:2048)
    at org.apache.hadoop.ipc.server$handler$1.run(server.java:2044)
    at java.security.accesscontroller.doprivileged(native method)
    at javax.security.auth.subject.doas(subject.java:415)
    at org.apache.hadoop.security.usergroupinformation.doas(usergroupinformation.java:1491)
    at org.apache.hadoop.ipc.server$handler.run(server.java:2042)

    at org.apache.hadoop.ipc.client.call(client.java:1347)
    at org.apache.hadoop.ipc.client.call(client.java:1300)
    at org.apache.hadoop.ipc.protobufrpcengine$invoker.invoke(protobufrpcengine.java:206)
    at com.sun.proxy.$proxy9.addblock(unknown source)
    at sun.reflect.nativemethodaccessorimpl.invoke0(native method)
    at sun.reflect.nativemethodaccessorimpl.invoke(nativemethodaccessorimpl.java:57)
    at sun.reflect.delegatingmethodaccessorimpl.invoke(delegatingmethodaccessorimpl.java:43)
    at java.lang.reflect.method.invoke(method.java:606)
    at org.apache.hadoop.io.retry.retryinvocationhandler.invokemethod(retryinvocationhandler.java:186)
    at org.apache.hadoop.io.retry.retryinvocationhandler.invoke(retryinvocationhandler.java:102)
    at com.sun.proxy.$proxy9.addblock(unknown source)
    at org.apache.hadoop.hdfs.protocolpb.clientnamenodeprotocoltranslatorpb.addblock(clientnamenodeprotocoltranslatorpb.java:330)
    at org.apache.hadoop.hdfs.dfsoutputstream$datastreamer.locatefollowingblock(dfsoutputstream.java:1226)
    at org.apache.hadoop.hdfs.dfsoutputstream$datastreamer.nextblockoutputstream(dfsoutputstream.java:1078)
    at org.apache.hadoop.hdfs.dfsoutputstream$datastreamer.run(dfsoutputstream.java:514)

主要原因是重新格式化文件系统，导致master节点下的hadoop2.2.0/hdfs/name/current/version中的clusterid和slave节点下的hadoop2.2.0/hdfs/data/current/version中的clusterid不一致。在浏览器输入可以发现live nodes为0。

解决方案是修改master节点下的clusterid使之与slave节点下的clusterid一致，然后重启服务即可。

  • 问题2：执行jar报错问题
container launch failed for container_1573700741821_0001_01_000007 : java.lang.illegalargumentexception: does not contain a valid host:port authority: slave_1:33775

主要原因：hadoop nodemanager结点主机名不能带下划线_。

解决方案：修改主机名称。

  • 问题3：绑定主机名引起的问题：sudo: unable to resolve host master

解决方案如下：

➜  ~ sudo vi /etc/hosts

  1 127.0.0.1       localhost
  2 127.0.1.1       ubuntu
  3 127.0.1.1       master
:wq!

通过本次实验，对集群概念有个基本的认识，在搭建过程中遇到问题不算太多，主要是对局域网组建缺乏认识深度，本集群环境可以进一步扩展，如动态增减节点，借助zookeeper技术加以融合等在企业中是比较常见的做法。

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