分享一份关于Hadoop2.2.0集群环境搭建文档

database

目录

  • 一,准备环境
  • 三,克隆VM
  • 四,搭建集群
  • 五,Hadoop启动与测试
  • 六,安装过程中遇到的问题及其解决方案

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

  • 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

  • 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oh-my-zsh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;

PC上安装XSHELL客户端;

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。


    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)

  • 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

  • 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:

四,搭建集群

  • 修改三台从机slavehost,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hostnameIP

➜  ~ 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

  • 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

  • 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

  • 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clusterIDSlave节点下的hadoop2.2.0/hdfs/data/current/VERSION中的clusterID不一致。在浏览器输入master:50070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。

以上是 分享一份关于Hadoop2.2.0集群环境搭建文档 的全部内容, 来源链接: utcz.com/z/531356.html

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