Ubuntu搭建全分布式Hadoop

配置ssh免密登录
配置Java、hadoop环境
配置hadoop文件
将jdk、Hadoop传输到其他节点
启动集群！！！
- start-dfs.sh启动dfs
- start-yarn.sh启动yarn

采用三台节点搭建全分布式

主机名	IP地址
master	192.168.200.100
slave1	192.168.200.101
slave2	192.168.200.102

软件准备：Ubuntu22.04服务器版，VMware15版，Hadoop3.3.0，Java-jdk1.8，Xshell工具
环境准备：可以ping外网，已经安装ssh工具、vim工具，已经做好主机名映射

配置ssh免密登录

使用ssh-keygen命令，连续回车四下，三个节点同样操作

root@master:~# ssh-keygen
Generating public/private rsa key pair.
Enter file in which to save the key (/root/.ssh/id_rsa): 
Enter passphrase (empty for no passphrase): 
Enter same passphrase again: 
Your identification has been saved in /root/.ssh/id_rsa
Your public key has been saved in /root/.ssh/id_rsa.pub  #生成ssh目录公钥位置
The key fingerprint is:
SHA256:8lXRWJH4Zoo83WxR3bc4VZq/gEDiUIaTbe50ixb1SOk root@master
The key's randomart image is:
+---[RSA 3072]----+
|     .=+ .. .=oo=|
|     ++oo+  o.o+=|
|      +.+.o ..=.o|
|       + E.o.o=o |
|      + S.o+ B...|
|       * o+ o = .|
|      . .  . . . |
|                 |
|                 |
+----[SHA256]-----+
root@master:~# 

# 其他节点同样操作

使用ssh-copy-id -i 命令把密钥传输到所有节点

root@master:~# ssh-copy-id -i /root/.ssh/id_rsa.pub root@master
/usr/bin/ssh-copy-id: INFO: Source of key(s) to be installed: "/root/.ssh/id_rsa.pub"
/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
root@master's password: 

Number of key(s) added: 1

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

root@master:~# 

root@master:~# ssh-copy-id -i /root/.ssh/id_rsa.pub root@slave1
/usr/bin/ssh-copy-id: INFO: Source of key(s) to be installed: "/root/.ssh/id_rsa.pub"
/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
root@slave2's password: 

Number of key(s) added: 1

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

root@master:~# 

root@master:~# ssh-copy-id -i /root/.ssh/id_rsa.pub root@slave2
/usr/bin/ssh-copy-id: INFO: Source of key(s) to be installed: "/root/.ssh/id_rsa.pub"
/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
root@slave2's password: 

Number of key(s) added: 1

Now try logging into the machine, with:   "ssh 'root@slave2'"
and check to make sure that only the key(s) you wanted were added.

root@master:~#

ssh测试是否可以免密登录三台节点

root@master:~# ssh master
Welcome to Ubuntu 22.04 LTS (GNU/Linux 5.15.0-25-generic x86_64)

 * Documentation:  https://help.ubuntu.com
 * Management:     https://landscape.canonical.com
 * Support:        https://ubuntu.com/advantage

  System information as of Sat Sep  3 06:16:05 AM UTC 2022

  System load:  0.15380859375      Processes:              226
  Usage of /:   35.5% of 19.51GB   Users logged in:        1
  Memory usage: 13%                IPv4 address for ens33: 192.168.200.100
  Swap usage:   0%

 * Super-optimized for small spaces - read how we shrank the memory
   footprint of MicroK8s to make it the smallest full K8s around.

   https://ubuntu.com/blog/microk8s-memory-optimisation

110 updates can be applied immediately.
67 of these updates are standard security updates.
To see these additional updates run: apt list --upgradable


Last login: Sat Sep  3 06:11:27 2022 from 192.168.200.100
root@master:~# 
root@master:~# ssh slave1
Welcome to Ubuntu 22.04 LTS (GNU/Linux 5.15.0-25-generic x86_64)

 * Documentation:  https://help.ubuntu.com
 * Management:     https://landscape.canonical.com
 * Support:        https://ubuntu.com/advantage

  System information as of Sat Sep  3 06:16:42 AM UTC 2022

  System load:  0.0166015625       Processes:              217
  Usage of /:   35.4% of 19.51GB   Users logged in:        1
  Memory usage: 10%                IPv4 address for ens33: 192.168.200.101
  Swap usage:   0%


110 updates can be applied immediately.
67 of these updates are standard security updates.
To see these additional updates run: apt list --upgradable


Last login: Fri Sep  2 02:13:48 2022 from 192.168.200.100
root@slave1:~# 
root@master:~# ssh slave2
Welcome to Ubuntu 22.04 LTS (GNU/Linux 5.15.0-25-generic x86_64)

 * Documentation:  https://help.ubuntu.com
 * Management:     https://landscape.canonical.com
 * Support:        https://ubuntu.com/advantage

  System information as of Sat Sep  3 06:17:13 AM UTC 2022

  System load:  0.01171875         Processes:              224
  Usage of /:   35.3% of 19.51GB   Users logged in:        1
  Memory usage: 12%                IPv4 address for ens33: 192.168.200.102
  Swap usage:   0%

 * Super-optimized for small spaces - read how we shrank the memory
   footprint of MicroK8s to make it the smallest full K8s around.

   https://ubuntu.com/blog/microk8s-memory-optimisation

111 updates can be applied immediately.
67 of these updates are standard security updates.
To see these additional updates run: apt list --upgradable


Last login: Fri Sep  2 02:13:48 2022 from 192.168.200.100
root@slave2:~# 

# 测试完毕，master节点可以实现对master、slave1，slave2的ssh免密登录，其余二个节点同样操作

配置Java、hadoop环境

只需上传到master节点即可，配置完毕后远程传输其它节点

root@master:/home/huhy# ls
hadoop-3.3.0.tar  jdk-8u241-linux-x64.tar.gz
root@master:/home/huhy# 
#上传包会默认放在用户目录下

解压jdk到/usr/local/目录下

root@master:/home/huhy# tar -zxvf jdk-8u241-linux-x64.tar.gz -C /usr/local/
root@master:/home/huhy# cd /usr/local/
root@master:/usr/local# ls
bin  etc  games  include  jdk1.8.0_241  lib  man  sbin  share  src
root@master:/usr/local# mv jdk1.8.0_241/ jdk1.8.0
# 使用mv改下名，待会儿方便写环境变量
root@master:/usr/local#

root@master:/usr/local# ll
total 44
drwxr-xr-x 11 root  root  4096 Sep  3 06:47 ./
drwxr-xr-x 14 root  root  4096 Apr 21 00:57 ../
drwxr-xr-x  2 root  root  4096 Apr 21 00:57 bin/
drwxr-xr-x  2 root  root  4096 Apr 21 00:57 etc/
drwxr-xr-x  2 root  root  4096 Apr 21 00:57 games/
drwxr-xr-x  2 root  root  4096 Apr 21 00:57 include/
drwxr-xr-x  7 10143 10143 4096 Dec 11  2019 jdk1.8.0/
drwxr-xr-x  3 root  root  4096 Apr 21 01:00 lib/
lrwxrwxrwx  1 root  root     9 Apr 21 00:57 man -> share/man/
drwxr-xr-x  2 root  root  4096 Apr 21 01:00 sbin/
drwxr-xr-x  4 root  root  4096 Apr 21 01:01 share/
drwxr-xr-x  2 root  root  4096 Apr 21 00:57 src/
root@master:/usr/local# ll
total 44
drwxr-xr-x 11 root root 4096 Sep  3 06:47 ./
drwxr-xr-x 14 root root 4096 Apr 21 00:57 ../
drwxr-xr-x  2 root root 4096 Apr 21 00:57 bin/
drwxr-xr-x  2 root root 4096 Apr 21 00:57 etc/
drwxr-xr-x  2 root root 4096 Apr 21 00:57 games/
drwxr-xr-x  2 root root 4096 Apr 21 00:57 include/
drwxr-xr-x  7 huhy huhy 4096 Dec 11  2019 jdk1.8.0/
drwxr-xr-x  3 root root 4096 Apr 21 01:00 lib/
lrwxrwxrwx  1 root root    9 Apr 21 00:57 man -> share/man/
drwxr-xr-x  2 root root 4096 Apr 21 01:00 sbin/
drwxr-xr-x  4 root root 4096 Apr 21 01:01 share/
drwxr-xr-x  2 root root 4096 Apr 21 00:57 src/
root@master:/usr/local#

root@master:/home/huhy# ls
hadoop-3.3.0.tar  jdk-8u241-linux-x64.tar.gz
root@master:/home/huhy# tar -xvf hadoop-3.3.0.tar -C /usr/local/
#注意解压的参数少一个z
root@master:/home/huhy# cd /usr/local/
root@master:/usr/local# ll
total 48
drwxr-xr-x 12 root root 4096 Sep  3 07:09 ./
drwxr-xr-x 14 root root 4096 Apr 21 00:57 ../
drwxr-xr-x  2 root root 4096 Apr 21 00:57 bin/
drwxr-xr-x  2 root root 4096 Apr 21 00:57 etc/
drwxr-xr-x  2 root root 4096 Apr 21 00:57 games/
drwxr-xr-x 10 root root 4096 Jul 15  2021 hadoop-3.3.0/
drwxr-xr-x  2 root root 4096 Apr 21 00:57 include/
drwxr-xr-x  7 huhy huhy 4096 Dec 11  2019 jdk1.8.0/
drwxr-xr-x  3 root root 4096 Apr 21 01:00 lib/
lrwxrwxrwx  1 root root    9 Apr 21 00:57 man -> share/man/
drwxr-xr-x  2 root root 4096 Apr 21 01:00 sbin/
drwxr-xr-x  4 root root 4096 Apr 21 01:01 share/
drwxr-xr-x  2 root root 4096 Apr 21 00:57 src/
root@master:/usr/local# ll
total 48
drwxr-xr-x 12 root root 4096 Sep  3 07:09 ./
drwxr-xr-x 14 root root 4096 Apr 21 00:57 ../
drwxr-xr-x  2 root root 4096 Apr 21 00:57 bin/
drwxr-xr-x  2 root root 4096 Apr 21 00:57 etc/
drwxr-xr-x  2 root root 4096 Apr 21 00:57 games/
drwxr-xr-x 10 huhy huhy 4096 Jul 15  2021 hadoop-3.3.0/
drwxr-xr-x  2 root root 4096 Apr 21 00:57 include/
drwxr-xr-x  7 huhy huhy 4096 Dec 11  2019 jdk1.8.0/
drwxr-xr-x  3 root root 4096 Apr 21 01:00 lib/
lrwxrwxrwx  1 root root    9 Apr 21 00:57 man -> share/man/
drwxr-xr-x  2 root root 4096 Apr 21 01:00 sbin/
drwxr-xr-x  4 root root 4096 Apr 21 01:01 share/
drwxr-xr-x  2 root root 4096 Apr 21 00:57 src/
root@master:/usr/local#

设置/etc/profile用户环境变量

在/etc/profile.d/这个下面的创建一个my_env.sh来放我们的环境变量，每次sources时都会加载这里面的环境变量，就建议不要往/etc/profile下面直接添加

root@master:~# vim /etc/profile.d/my_env.sh

#添加如下内容
#JAVA_HOME
export JAVA_HOME=/usr/local/jdk1.8.0
export PATH=$PATH:$JAVA_HOME/bin

#HADOOP_HOME
export HADOOP_HOME=/usr/local/hadoop-3.3.0
export PATH=$PATH:$HADOOP_HOME/bin
export PATH=$PATH:$HADOOP_HOME/sbin

#解决后面启动集群的权限问题
export HDFS_NAMENODE_USER=root
export HDFS_DATANODE_USER=root
export HDFS_SECONDARYNAMENODE_USER=root
export YARN_RESOURCEMANAGER_USER=root
export YARN_NODEMANAGER_USER=root

root@master:~# source /etc/profile
root@master:~# java -version
java version "1.8.0_241"
Java(TM) SE Runtime Environment (build 1.8.0_241-b07)
Java HotSpot(TM) 64-Bit Server VM (build 25.241-b07, mixed mode)
root@master:~# hadoop version
Hadoop 3.3.0
Source code repository Unknown -r Unknown
Compiled by root on 2021-07-15T07:35Z
Compiled with protoc 3.7.1
From source with checksum 5dc29b802d6ccd77b262ef9d04d19c4
This command was run using /usr/local/hadoop-3.3.0/share/hadoop/common/hadoop-common-3.3.0.jar
root@master:~#
#环境安装成功

配置hadoop文件

本次搭建完成集群的定制的四个配置文件，包括core-site.xml、hdfs.site.xml、yarn-site.xml、mapred-site.xml。以及hadoop-env.sh、yarm-env.sh两个环境变量指定文件

集群配置规划如下

1，NameNode和DataNode连个进程消耗内存较大，分别放于两个节点上
2，SecoundNameNode放于slave2节点上
3，每个节点上都有三个进程

参数名称	master	slave1	slave2
hdfs	NameNode / DataNode	DataNode	SecondaryNameNode / DataNode
yarn	NodeManager	ResourceManager / NodeManager	NodeManager

默认的配置文件，里面有关于文件的默认配置，需要jar -xvf解压查看，在share目录中

配置文件	配置文件位置
core-default.xml	hadoop-common-3.1.3.jar/core-default.xml
hdf-default.xml	hadoop-hdfs-3.1.3.jar/hdfs-default.xml
yarn-default.xml	hadoop-yarn-common-3.1.3.jar/yarn-default.xml
mapred-default.xml	hadoop-mapreduce-client-core-3.1.3.jar/mapred-default.xml

配置hadoop-env.sh

进入Hadoop配置文件位置，进行文件配置

root@master:/usr/local/hadoop-3.3.0/etc/hadoop# pwd
/usr/local/hadoop-3.3.0/etc/hadoop
root@master:/usr/local/hadoop-3.3.0/etc/hadoop# ls
capacity-scheduler.xml            httpfs-env.sh               mapred-site.xml
configuration.xsl                 httpfs-log4j.properties     shellprofile.d
container-executor.cfg            httpfs-site.xml             ssl-client.xml.example
core-site.xml                     kms-acls.xml                ssl-server.xml.example
hadoop-env.cmd                    kms-env.sh                  user_ec_policies.xml.template
hadoop-env.sh                     kms-log4j.properties        workers
hadoop-metrics2.properties        kms-site.xml                yarn-env.cmd
hadoop-policy.xml                 log4j.properties            yarn-env.sh
hadoop-user-functions.sh.example  mapred-env.cmd              yarnservice-log4j.properties
hdfs-rbf-site.xml                 mapred-env.sh               yarn-site.xml
hdfs-site.xml                     mapred-queues.xml.template
root@master:/usr/local/hadoop-3.3.0/etc/hadoop#
root@master:/usr/local/hadoop-3.3.0/etc/hadoop# vim hadoop-env.sh

#直接在首行写入即可
export JAVA_HOME=/usr/local/jdk1.8.0

#然后保存退出即可

配置yarm-env.sh

和hadoop-env.sh一样编辑java环境变量的位置

root@master:/usr/local/hadoop-3.3.0/etc/hadoop# vim yarn-env.sh

#如果没有发现有改变量值，就在第一行添加即可
export JAVA_HOME=/usr/local/jdk1.8.0

配置core-site.xml

该文件定义NameNode进程的URL、临时文件的存储目录以及顺序文件I/O缓存的大小

root@master:/usr/local/hadoop-3.3.0/etc/hadoop# vim core-site.xml
<configuration>
        <!-- 设置默认使用的文件系统 Hadoop支持file、HDFS、GFS、ali|Amazon云等文件系统 -->
<property>
    <name>fs.defaultFS</name>
    <value>hdfs://master:8020</value>
</property>

<!-- 设置Hadoop本地保存数据路径 -->
<property>
    <name>hadoop.tmp.dir</name>
    <value>/usr/local/hadoop-3.3.0/data</value>
</property>
</configuration>

配置hdfs-site.xml

该文件用来设置HDFS的NameNode和DataNode两大进程的重要参数

root@master:/usr/local/hadoop-3.3.0/etc/hadoop# vim hdfs-site.xml

<configuration>
<!-- 设置hdfs的访问地址 -->
<property>
        <name>dfs.namenode.http.address</name>
        <value>master:9870</value>
</property>
<property>
        <name>dfs.namenode.secondary.http-address</name>
        <value>slave2:9868</value>
</property>
</configuration>

配置yarn-site.xml

该文件用来设置YARN的ResourceManager和NodeManager两大进程的重要配置参数

root@master:/usr/local/hadoop-3.3.0/etc/hadoop# vim yarn-site.xml

<configuration>
 <!-- 设置YARN集群主角色运行机器位置 -->
<property>
        <name>yarn.resourcemanager.hostname</name>
        <value>slave1</value>
</property>

<property>
    <name>yarn.nodemanager.aux-services</name>
    <value>mapreduce_shuffle</value>
</property>

<!-- 是否将对容器实施物理内存限制 -->
<property>
    <name>yarn.nodemanager.pmem-check-enabled</name>
    <value>false</value>
</property>

<!-- 是否将对容器实施虚拟内存限制。 -->
<property>
    <name>yarn.nodemanager.vmem-check-enabled</name>
    <value>false</value>
</property>

<!-- 开启日志聚集 -->
<property>
  <name>yarn.log-aggregation-enable</name>
  <value>true</value>
</property>
 <property>
        <name>yarn.nodemanager.remote-app-log-dir</name>
        <value>/usr/local/hadoop-3.3.0/history-logs</value>
        <!--日志聚合到一个文件夹中 -->
</property>

<!-- 设置yarn历史服务器地址 -->
<property>
    <name>yarn.log.server.url</name>
    <value>http://master:19888/jobhistory/logs</value>
</property>

<!-- 历史日志保存的时间 7天 -->
<property>
  <name>yarn.log-aggregation.retain-seconds</name>
  <value>604800</value>
</property>
</configuration>

配置mapred-site.xml

该文件用来配置MapReduce应用程序以及JobHistory服务器的重要配置参数

#如果是旧版本就要使用cp命令复制mapred-site.xml.template文件为mapred-site.xml，3版本不需要

root@master:/usr/local/hadoop-3.3.0/etc/hadoop# vim mapred-site.xml

<configuration>
<!-- 设置MR程序默认运行模式： yarn集群模式 local本地模式 -->
<property>
  <name>mapreduce.framework.name</name>
  <value>yarn</value>
</property>

<!-- MR程序历史服务地址 -->
<property>
  <name>mapreduce.jobhistory.address</name>
  <value>master:10020</value>
</property>

<!-- MR程序历史服务器web端地址 -->
<property>
  <name>mapreduce.jobhistory.webapp.address</name>
  <value>master:19888</value>
</property>
</configuration>

配置workers文件

root@master:/usr/local/hadoop-3.3.0/etc/hadoop# vim workers

master
slave1
slave2

#三台节点各占一行，不要有空格

最后！！！在hadoop-3.3.0下创建logs和history-logs日志聚合文件~

root@master:/usr/local/hadoop-3.3.0# mkdir history-logs
root@master:/usr/local/hadoop-3.3.0# mkdir logs

将jdk、Hadoop传输到其他节点

使用scp命令传输两个文件后记得环境变量也要修改

root@master:~# scp -r /usr/local/hadoop-3.3.0/ slave1:/usr/local/
root@master:~# scp -r /usr/local/hadoop-3.3.0/ slave2:/usr/local/
root@master:~# scp -r /usr/local/jdk1.8.0/ slave1:/usr/local/
root@master:~# scp -r /usr/local/jdk1.8.0/ slave2:/usr/local/

#其他两个节点.配置如下环境变量
#JAVA_HOME
export JAVA_HOME=/usr/local/jdk1.8.0
export PATH=$PATH:$JAVA_HOME/bin

#HADOOP_HOME
export HADOOP_HOME=/usr/local/hadoop-3.3.0
export PATH=$PATH:$HADOOP_HOME/bin
export PATH=$PATH:$HADOOP_HOME/sbin

export HDFS_NAMENODE_USER=root
export HDFS_DATANODE_USER=root
export HDFS_SECONDARYNAMENODE_USER=root
export YARN_RESOURCEMANAGER_USER=root
export YARN_NODEMANAGER_USER=root

测试从节点的环境变量

root@slave1:~# source /etc/profile
root@slave1:~# java -version
java version "1.8.0_241"
Java(TM) SE Runtime Environment (build 1.8.0_241-b07)
Java HotSpot(TM) 64-Bit Server VM (build 25.241-b07, mixed mode)
root@slave1:~# hadoop version
Hadoop 3.3.0
Source code repository Unknown -r Unknown
Compiled by root on 2021-07-15T07:35Z
Compiled with protoc 3.7.1
From source with checksum 5dc29b802d6ccd77b262ef9d04d19c4
This command was run using /usr/local/hadoop-3.3.0/share/hadoop/common/hadoop-common-3.3.0.jar
root@slave1:~#


root@slave2:~# source /etc/profile
root@slave2:~# java -version
java version "1.8.0_241"
Java(TM) SE Runtime Environment (build 1.8.0_241-b07)
Java HotSpot(TM) 64-Bit Server VM (build 25.241-b07, mixed mode)
root@slave2:~# hadoop version
Hadoop 3.3.0
Source code repository Unknown -r Unknown
Compiled by root on 2021-07-15T07:35Z
Compiled with protoc 3.7.1
From source with checksum 5dc29b802d6ccd77b262ef9d04d19c4
This command was run using /usr/local/hadoop-3.3.0/share/hadoop/common/hadoop-common-3.3.0.jar
root@slave2:~#

#节点配置完毕，可以开启集群了

启动集群！！！

第一次使用HDFS时，必须首先在master节点执行格式化命令创建一个新分布式文件系统，然后才能正常启动NameNode服务，过程中应该没有任何的报错！！

root@master:/usr/local/hadoop-3.3.0/etc/hadoop# hdfs namenode -format
2022-09-09 12:23:07,392 INFO namenode.NameNode: STARTUP_MSG:
/************************************************************
STARTUP_MSG: Starting NameNode
STARTUP_MSG:   host = master/192.168.200.100
STARTUP_MSG:   args = [-format]
STARTUP_MSG:   version = 3.3.0
......................

/************************************************************
SHUTDOWN_MSG: Shutting down NameNode at master/192.168.200.100
************************************************************/
root@master:~#
#最后输出SHUTDOWN_MSG: Shutting down NameNode at master/192.168.200.100则表明成功
#如果报waning没有创建data文件的话，就把hadoop-3.3.0目录的权限修改为777（三个节点都要修改），重新格式化一下！！！

如果集群启动失败了！！！一定要停止namenode和datanode进程，然后删除所有节点的data和logs目录，然后再进行格式化！！！

可直接启动集群所有服务，2版本的Hadoop是需要在sbin目录下启动

start-dfs.sh启动dfs

root@master:~# start-dfs.sh
Starting namenodes on [master]
Starting datanodes
Starting secondary namenodes [slave2]
root@master:~# jps
6386 NameNode
6775 Jps
6535 DataNode
root@master:~#

root@slave2:~# jps
4627 DataNode
4806 Jps
4766 SecondaryNameNode
root@slave2:~#
#启动后namenode运行在master，secoundnamenode运行在slave2

web访问hdfs；192.168.200.100:9870

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start-yarn.sh启动yarn

在slave1上启动

root@slave1:~# start-yarn.sh
Starting resourcemanager
Starting nodemanagers
root@slave1:~# jps
6567 DataNode
7259 Jps
6893 NodeManager
6734 ResourceManager
root@slave1:~#

web访问yarn；192.168.200.101:8088

在这里插入图片描述

访问历史服务器

root@master:~# mapred --daemon start historyserver
root@master:~# jps
3473 DataNode
4614 Jps
4026 JobHistoryServer
3819 NodeManager
3325 NameNode
root@master:~#

在这里插入图片描述

也可以一键使用start-all.sh和stop-all.sh，来启动所有的进程和关闭所有的进程

顺便提一嘴，如果说window访问不了maste、slave1，则可以windows上做个域名解析，或者配置文件xml中使用地址

到此集群搭建完毕！！

posted @ 2022-09-09 21:45 hoyeong 阅读(167) 评论(0) 编辑收藏举报

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Ubuntu搭建全分布式Hadoop

配置ssh免密登录

配置Java、hadoop环境

配置hadoop文件

配置hadoop-env.sh

配置yarm-env.sh

配置core-site.xml

配置hdfs-site.xml

配置yarn-site.xml

配置mapred-site.xml

配置workers文件

将jdk、Hadoop传输到其他节点

启动集群！！！

start-dfs.sh启动dfs

start-yarn.sh启动yarn

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