• Docker安装Hadoop

    docker安装Hadoop

    1 安装docker

    1.1 添加docker到yum源

    ## 1.安装
[root@hadoop ~]# yum-config-manager --add-repo http://mirrors.aliyun.com/docker-ce/linux/centos/docker-ce.repo
-bash: yum-config-manager: 未找到命令

## 2.尝试安装yum-config-manager
[root@hadoop apps]# yum install -y yum-config-manager
已加载插件：fastestmirror
Loading mirror speeds from cached hostfile
 * base: mirrors.ustc.edu.cn
 * epel: mirrors.ustc.edu.cn
 * extras: mirrors.ustc.edu.cn
 * updates: mirrors.ustc.edu.cn
没有可用软件包 yum-config-manager。
错误：无须任何处理

## 3.经查询，系统没有这个yum-config-manager命令，在yum-utils包里。
[root@hadoop apps]# yum -y install yum-utils
已加载插件：fastestmirror
Loading mirror speeds from cached hostfile
已安装:
  yum-utils.noarch 0:1.1.31-54.el7_8
完毕！

## 4.再次安装
[root@hadoop apps]# yum-config-manager --add-repo http://mirrors.aliyun.com/docker-ce/linux/centos/docker-ce.repo
已加载插件：fastestmirror
adding repo from: http://mirrors.aliyun.com/docker-ce/linux/centos/docker-ce.repo
grabbing file http://mirrors.aliyun.com/docker-ce/linux/centos/docker-ce.repo to /etc/yum.repos.d/docker-ce.repo
repo saved to /etc/yum.repos.d/docker-ce.repo

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    1.2 安装docker

    ##2. 安装docker
[root@hadoop yum.repos.d]# yum -y install docker-ce

##3. 配置
[root@hadoop yum.repos.d]# mkdir -p /etc/docker
[root@hadoop yum.repos.d]# mkdir -p /data/apps/docker

##4. 将daemon.json拷贝到/data/apps/docker
##5. 启动docker
[root@hadoop yum.repos.d]# systemctl start docker


[root@hadoop docker]# ps -ef | grep docker
root       5791      1  0 09:04 ?        00:00:00 /usr/bin/dockerd -H fd:// --containerd=/run/containerd/containerd.sock
root       6014   1896  0 09:05 pts/0    00:00:00 grep --color=auto docker
[root@hadoop docker]#

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    2 安装Hadoop

    2.1 使用docker自带的hadoop安装

    ## 1.查看hadoop
[root@hadoop docker]# docker search hadoop
NAME                             DESCRIPTION                                     STARS     OFFICIAL   AUTOMATED
sequenceiq/hadoop-docker         An easy way to try Hadoop                       661                  [OK]
uhopper/hadoop                   Base Hadoop image with dynamic configuration…   103                  [OK]
harisekhon/hadoop                Apache Hadoop (HDFS + Yarn, tags 2.2 - 2.8)     67                   [OK]
bde2020/hadoop-namenode          Hadoop namenode of a hadoop cluster             52                   [OK]
bde2020/hadoop-datanode          Hadoop datanode of a hadoop cluster             39                   [OK]
bde2020/hadoop-base              Base image to create hadoop cluster.            20                   [OK]
uhopper/hadoop-namenode          Hadoop namenode                                 11                   [OK]
bde2020/hadoop-nodemanager       Hadoop node manager docker image.               10                   [OK]
bde2020/hadoop-resourcemanager   Hadoop resource manager docker image.           9                    [OK]
uhopper/hadoop-datanode          Hadoop datanode                                 9                    [OK]

## 2.安装hadoop
[root@hadoop docker]# docker pull sequenceiq/hadoop-docker
Using default tag: latest
latest: Pulling from sequenceiq/hadoop-docker
Image docker.io/sequenceiq/hadoop-docker:latest uses outdated schema1 manifest format. Please upgrade to a schema2 image for better future compatibility. More information at https://docs.docker.com/registry/spec/deprecated-schema-v1/
b253335dcf03: Pulling fs layer
a3ed95caeb02: Pulling fs layer
69623ef05416: Pulling fs layer
8d2023764774: Pulling fs layer
0c3c0ff61963: Pulling fs layer
ff0696749bf6: Pulling fs layer
72accdc282f3: Pull complete
5298ddb3b339: Pull complete
f252bbba6bda: Pull complete
3984257f0553: Pull complete
26343a20fa29: Pull complete

## 3.查看安装成功结果
[root@hadoop docker]# docker images
REPOSITORY                 TAG       IMAGE ID       CREATED       SIZE
sequenceiq/hadoop-docker   latest    5c3cc170c6bc   6 years ago   1.77GB

## 4.创建master节点
[root@hadoop docker]# docker run --name hadoop -d -h master sequenceiq/hadoop-docker
43c17d7c556a1e7ca9e6cfd7d91ebbde22db2f5fb223956bf670710d733d0979

## 5.创建slave1节点
[root@hadoop docker]# docker run --name hadoop1 -d -h slave1 sequenceiq/hadoop-docker
697e4f687e0502f2b7727bdee6f9861cd515c55c1b38d5e43f09c29acc7989f3

## 6.创建slave2节点
[root@hadoop docker]# docker run --name hadoop2 -d -h slave2 sequenceiq/hadoop-docker
938f3a29ea7b9e99e02b0df4a448a75a9264d7d74c348dfc577fdbd01380e3e3


## 进入docker并查看Java JDK
[root@hadoop docker]# docker exec -it hadoop bash

bash-4.1# java -version
java version "1.7.0_71"
Java(TM) SE Runtime Environment (build 1.7.0_71-b14)
Java HotSpot(TM) 64-Bit Server VM (build 24.71-b01, mixed mode)

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    2.2 免密操作

    docker exec -it hadoop bash进入容器

    2.2.1 master节点

    ## 1.master节点配置免密
[root@hadoop docker]# docker exec -it hadoop bash

bash-4.1# /etc/init.d/sshd start
bash-4.1# ssh-keygen -t rsa
Generating public/private rsa key pair.
Enter file in which to save the key (/root/.ssh/id_rsa):
/root/.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 /root/.ssh/id_rsa.
Your public key has been saved in /root/.ssh/id_rsa.pub.
The key fingerprint is:
fc:39:e8:f3:57:ee:40:c9:99:8c:95:16:a1:af:5f:69 root@master
The key's randomart image is:
+--[ RSA 2048]----+
|            o.   |
|           . o   |
|          . +    |
|       .   B +   |
|        S . O    |
|         o +  .. |
|        . = .oE  |
|       ..  o.+.  |
|        .o.....  |
+-----------------+

## 2.将/root/.ssh下的id_rsa.pub添加到authorized_keys
bash-4.1# cd /root/.ssh
bash-4.1# ls
authorized_keys  config  id_rsa  id_rsa.pub
bash-4.1# cat id_rsa.pub > authorized_keys
bash-4.1# cat authorized_keys
ssh-rsa AAAAB3NzaC1yc2EAAAABIwAAAQEAwOpTpijrGlJTnlFEBjIRq9m24KIQ9oc50javrRpWBqQxhUrjIuVQTaOqiW6Dpgo8zDVNRratkB+HnlNQ8q3L0kE+IvlZINrCijZAGksZJpgbyuhqHKdf8Tmdco90FhAENQc54pcCvpDCD4dukSuICN3533rXIBxJU7omHnTQMORo+AMyGDTWW7pNgNDQoC7iZsjE+GcpF9Aq2+joQqYwOOrTDmQ2HI6TFomnM02PERlwZkbM/5ELZsb616JPu9QMNuv8BDHgRF87PtzZEI1vBEDeNfBAc3/J5vuirlqqxgS+zk5DFiWD0jcstJG1hTX5qRCXmvEyHMfE2kEtgkAXYQ== root@master

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    2.2.2 slave1节点

    ## 1. 配置slave1的免密操作
[root@hadoop ~]# docker exec -it hadoop1 bash
bash-4.1# /etc/init.d/sshd start
bash-4.1# ssh-keygen -t rsa
Generating public/private rsa key pair.
Enter file in which to save the key (/root/.ssh/id_rsa):
/root/.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 /root/.ssh/id_rsa.
Your public key has been saved in /root/.ssh/id_rsa.pub.
The key fingerprint is:
cb:66:2b:cf:95:15:61:19:51:ca:cb:46:2c:0d:4d:37 root@slave1
The key's randomart image is:
+--[ RSA 2048]----+
|          .o*=E  |
|           *o+ . |
|          . B    |
|           + o   |
|        S   =    |
|       . . +     |
|        = o      |
|      .+ o       |
|       o+        |
+-----------------+

## 2.将/root/.ssh下的id_rsa.pub添加到authorized_keys
bash-4.1# cd /root/.ssh
bash-4.1# ls
authorized_keys  config  id_rsa  id_rsa.pub
bash-4.1# cat id_rsa.pub > authorized_keys
bash-4.1# cat authorized_keys
ssh-rsa AAAAB3NzaC1yc2EAAAABIwAAAQEAxdKMpxzEHotmob4Oi12G6pGoF+z39b0zZF3mWwDMtwX6dNpKTqeoaFDmkKUnov7PEGYKPehT1rPSv0pDxrNcMylsNGYsNt2jhcR0k5YyIAcJKjjYzM3ifaHj4Pce7PtLyr9drqH39cES336xHiawfzKppMKa6tsbEUI5d4YhYRMAGhbDdDw6vVte9NmbPkos4yK272dlAQjwep5TiE63D3OwVP4TAdum99PhVim63ZO0RJYf8es5plAay33OmEUw1WeeXB/0EL/symE/eWlIXtDUbz2c1KHi8yviNB8qDb2YOsRTV8vO1OiRF/nXv6EKorDaeIYvwtDKyxT5ieENEQ== root@slave1

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    2.2.3 slave2节点

    ## 1.配置slave2的免密操作
[root@hadoop ~]# docker exec -it hadoop2 bash
bash-4.1# /etc/init.d/sshd start
bash-4.1# ssh-keygen -t rsa
Generating public/private rsa key pair.
Enter file in which to save the key (/root/.ssh/id_rsa):
/root/.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 /root/.ssh/id_rsa.
Your public key has been saved in /root/.ssh/id_rsa.pub.
The key fingerprint is:
af:55:a3:e9:00:2a:21:c0:e8:f0:e4:34:42:19:56:ba root@slave2
The key's randomart image is:
+--[ RSA 2048]----+
| ++.             |
|=..              |
|=o+              |
|+*..             |
|.E+   . S   o    |
| . . . . . + .   |
|  . .   . =      |
|   .     =       |
|        . .      |
+-----------------+
## 2.将/root/.ssh下的id_rsa.pub添加到authorized_keys
bash-4.1# cd /root/.ssh
bash-4.1# ls
authorized_keys  config  id_rsa  id_rsa.pub
bash-4.1# cat id_rsa.pub > authorized_keys
bash-4.1# cat authorized_keys
ssh-rsa AAAAB3NzaC1yc2EAAAABIwAAAQEAr4EKb4wjGwb1sKUX3iZ92T38ZqentL83Yok4tJ8k0UBdCCbOO7qgTGkZwg7gIhO0LBZ9YQDk6uR5hBJ8f3UN38l7MyJM9yYZl65dh04ZXqs0wRUMELYMBzTBKbIFdU9uwy07c8YMJbBvFBnBlzA764rFzGivFgoP4Kk9iIEFO/YQ/EwHyDpFhfRUVPEhjiJK4x7zS0sZAlhSSgk05fKQSw6qlXVr4JOGn5TWU7qylaj9lKABR9tI1WH4WoGx4zE8KDjgdUhtvygSmS4LO8JBOn1JPnqQq8PNWRI0xjWAohw3GnmUu54nKN5cjJjHvZPeXt0Y7B8YtI0+/DCQglo1zw== root@slave2
bash-4.1#

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    2.2.4 将三个容器中的authorized_keys拷贝到本地合并

    ## 1.拷贝到本地
[root@hadoop ssh]# docker cp hadoop:/root/.ssh/authorized_keys ./authorized_keys_master
[root@hadoop ssh]# docker cp hadoop1:/root/.ssh/authorized_keys ./authorized_keys_slave1
[root@hadoop ssh]# docker cp hadoop2:/root/.ssh/authorized_keys ./authorized_keys_slave2
[root@hadoop ssh]# ls
authorized_keys_master  authorized_keys_slave1  authorized_keys_slave2

## 2.合并
[root@hadoop ssh]# touch authorized_keys
[root@hadoop ssh]# ls
authorized_keys  authorized_keys_master  authorized_keys_slave1  authorized_keys_slave2
[root@hadoop ssh]# cat authorized_keys_master authorized_keys_slave1 authorized_keys_slave2 > authorized_keys
[root@hadoop ssh]# cat authorized_keys
ssh-rsa AAAAB3NzaC1yc2EAAAABIwAAAQEAwOpTpijrGlJTnlFEBjIRq9m24KIQ9oc50javrRpWBqQxhUrjIuVQTaOqiW6Dpgo8zDVNRratkB+HnlNQ8q3L0kE+IvlZINrCijZAGksZJpgbyuhqHKdf8Tmdco90FhAENQc54pcCvpDCD4dukSuICN3533rXIBxJU7omHnTQMORo+AMyGDTWW7pNgNDQoC7iZsjE+GcpF9Aq2+joQqYwOOrTDmQ2HI6TFomnM02PERlwZkbM/5ELZsb616JPu9QMNuv8BDHgRF87PtzZEI1vBEDeNfBAc3/J5vuirlqqxgS+zk5DFiWD0jcstJG1hTX5qRCXmvEyHMfE2kEtgkAXYQ== root@master
ssh-rsa AAAAB3NzaC1yc2EAAAABIwAAAQEAxdKMpxzEHotmob4Oi12G6pGoF+z39b0zZF3mWwDMtwX6dNpKTqeoaFDmkKUnov7PEGYKPehT1rPSv0pDxrNcMylsNGYsNt2jhcR0k5YyIAcJKjjYzM3ifaHj4Pce7PtLyr9drqH39cES336xHiawfzKppMKa6tsbEUI5d4YhYRMAGhbDdDw6vVte9NmbPkos4yK272dlAQjwep5TiE63D3OwVP4TAdum99PhVim63ZO0RJYf8es5plAay33OmEUw1WeeXB/0EL/symE/eWlIXtDUbz2c1KHi8yviNB8qDb2YOsRTV8vO1OiRF/nXv6EKorDaeIYvwtDKyxT5ieENEQ== root@slave1
ssh-rsa AAAAB3NzaC1yc2EAAAABIwAAAQEAr4EKb4wjGwb1sKUX3iZ92T38ZqentL83Yok4tJ8k0UBdCCbOO7qgTGkZwg7gIhO0LBZ9YQDk6uR5hBJ8f3UN38l7MyJM9yYZl65dh04ZXqs0wRUMELYMBzTBKbIFdU9uwy07c8YMJbBvFBnBlzA764rFzGivFgoP4Kk9iIEFO/YQ/EwHyDpFhfRUVPEhjiJK4x7zS0sZAlhSSgk05fKQSw6qlXVr4JOGn5TWU7qylaj9lKABR9tI1WH4WoGx4zE8KDjgdUhtvygSmS4LO8JBOn1JPnqQq8PNWRI0xjWAohw3GnmUu54nKN5cjJjHvZPeXt0Y7B8YtI0+/DCQglo1zw== root@slave2
[root@hadoop ssh]#

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    2.2.5 将本地authorized_keys文件分别拷贝到3个容器中

    ## 1.上传
[root@hadoop ssh]# docker cp ./authorized_keys hadoop:/root/.ssh/authorized_keys
[root@hadoop ssh]# docker cp ./authorized_keys hadoop1:/root/.ssh/authorized_keys
[root@hadoop ssh]# docker cp ./authorized_keys hadoop2:/root/.ssh/authorized_keys

## 2.查看
bash-4.1# cat authorized_keys
ssh-rsa AAAAB3NzaC1yc2EAAAABIwAAAQEAwOpTpijrGlJTnlFEBjIRq9m24KIQ9oc50javrRpWBqQxhUrjIuVQTaOqiW6Dpgo8zDVNRratkB+HnlNQ8q3L0kE+IvlZINrCijZAGksZJpgbyuhqHKdf8Tmdco90FhAENQc54pcCvpDCD4dukSuICN3533rXIBxJU7omHnTQMORo+AMyGDTWW7pNgNDQoC7iZsjE+GcpF9Aq2+joQqYwOOrTDmQ2HI6TFomnM02PERlwZkbM/5ELZsb616JPu9QMNuv8BDHgRF87PtzZEI1vBEDeNfBAc3/J5vuirlqqxgS+zk5DFiWD0jcstJG1hTX5qRCXmvEyHMfE2kEtgkAXYQ== root@master
ssh-rsa AAAAB3NzaC1yc2EAAAABIwAAAQEAxdKMpxzEHotmob4Oi12G6pGoF+z39b0zZF3mWwDMtwX6dNpKTqeoaFDmkKUnov7PEGYKPehT1rPSv0pDxrNcMylsNGYsNt2jhcR0k5YyIAcJKjjYzM3ifaHj4Pce7PtLyr9drqH39cES336xHiawfzKppMKa6tsbEUI5d4YhYRMAGhbDdDw6vVte9NmbPkos4yK272dlAQjwep5TiE63D3OwVP4TAdum99PhVim63ZO0RJYf8es5plAay33OmEUw1WeeXB/0EL/symE/eWlIXtDUbz2c1KHi8yviNB8qDb2YOsRTV8vO1OiRF/nXv6EKorDaeIYvwtDKyxT5ieENEQ== root@slave1
ssh-rsa AAAAB3NzaC1yc2EAAAABIwAAAQEAr4EKb4wjGwb1sKUX3iZ92T38ZqentL83Yok4tJ8k0UBdCCbOO7qgTGkZwg7gIhO0LBZ9YQDk6uR5hBJ8f3UN38l7MyJM9yYZl65dh04ZXqs0wRUMELYMBzTBKbIFdU9uwy07c8YMJbBvFBnBlzA764rFzGivFgoP4Kk9iIEFO/YQ/EwHyDpFhfRUVPEhjiJK4x7zS0sZAlhSSgk05fKQSw6qlXVr4JOGn5TWU7qylaj9lKABR9tI1WH4WoGx4zE8KDjgdUhtvygSmS4LO8JBOn1JPnqQq8PNWRI0xjWAohw3GnmUu54nKN5cjJjHvZPeXt0Y7B8YtI0+/DCQglo1zw== root@slave2
bash-4.1#

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    2.3 容器IP

    2.3.1 查看容器IP

    ## master（inet addr:172.17.0.2）
bash-4.1# ifconfig
eth0      Link encap:Ethernet  HWaddr 02:42:AC:11:00:02
          inet addr:172.17.0.2  Bcast:172.17.255.255  Mask:255.255.0.0
          UP BROADCAST RUNNING MULTICAST  MTU:1500  Metric:1
          RX packets:34 errors:0 dropped:0 overruns:0 frame:0
          TX packets:19 errors:0 dropped:0 overruns:0 carrier:0
          collisions:0 txqueuelen:0
          RX bytes:3225 (3.1 KiB)  TX bytes:1444 (1.4 KiB)

lo        Link encap:Local Loopback
          inet addr:127.0.0.1  Mask:255.0.0.0
          UP LOOPBACK RUNNING  MTU:65536  Metric:1
          RX packets:51037 errors:0 dropped:0 overruns:0 frame:0
          TX packets:51037 errors:0 dropped:0 overruns:0 carrier:0
          collisions:0 txqueuelen:1000
          RX bytes:7152430 (6.8 MiB)  TX bytes:7152430 (6.8 MiB)

bash-4.1#

## slave1(inet addr:172.17.0.3)
bash-4.1# ifconfig
eth0      Link encap:Ethernet  HWaddr 02:42:AC:11:00:03
          inet addr:172.17.0.3  Bcast:172.17.255.255  Mask:255.255.0.0
          UP BROADCAST RUNNING MULTICAST  MTU:1500  Metric:1
          RX packets:30 errors:0 dropped:0 overruns:0 frame:0
          TX packets:21 errors:0 dropped:0 overruns:0 carrier:0
          collisions:0 txqueuelen:0
          RX bytes:2821 (2.7 KiB)  TX bytes:1528 (1.4 KiB)

lo        Link encap:Local Loopback
          inet addr:127.0.0.1  Mask:255.0.0.0
          UP LOOPBACK RUNNING  MTU:65536  Metric:1
          RX packets:32490 errors:0 dropped:0 overruns:0 frame:0
          TX packets:32490 errors:0 dropped:0 overruns:0 carrier:0
          collisions:0 txqueuelen:1000
          RX bytes:4477081 (4.2 MiB)  TX bytes:4477081 (4.2 MiB)

## slave2(inet addr:172.17.0.4)
bash-4.1# ifconfig
eth0      Link encap:Ethernet  HWaddr 02:42:AC:11:00:04
          inet addr:172.17.0.4  Bcast:172.17.255.255  Mask:255.255.0.0
          UP BROADCAST RUNNING MULTICAST  MTU:1500  Metric:1
          RX packets:29 errors:0 dropped:0 overruns:0 frame:0
          TX packets:21 errors:0 dropped:0 overruns:0 carrier:0
          collisions:0 txqueuelen:0
          RX bytes:2779 (2.7 KiB)  TX bytes:1528 (1.4 KiB)

lo        Link encap:Local Loopback
          inet addr:127.0.0.1  Mask:255.0.0.0
          UP LOOPBACK RUNNING  MTU:65536  Metric:1
          RX packets:32301 errors:0 dropped:0 overruns:0 frame:0
          TX packets:32301 errors:0 dropped:0 overruns:0 carrier:0
          collisions:0 txqueuelen:1000
          RX bytes:4457148 (4.2 MiB)  TX bytes:4457148 (4.2 MiB)

bash-4.1#

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    2.3.2 修改hosts映射IP

    三个容器都要修改如下三个IP映射

    bash-4.1# vi /etc/hosts
...
172.17.0.2      master
172.17.0.3      slave1
172.17.0.4      slave2

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    2.3.3 映射设置和免密成功

    bash-4.1# ssh master
-bash-4.1# exit
logout
bash-4.1# ssh slave1
-bash-4.1# exit
logout
bash-4.1# ssh slave2
-bash-4.1# exit
logout
bash-4.1#

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    2.4 修改Hadoop配置文件

    find / -name hadoop-env.sh查找hadoop-env.sh的安装路径

    bash-4.1# find / -name hadoop-env.sh
/usr/local/hadoop-2.7.0/etc/hadoop/hadoop-env.sh
bash-4.1# cd /usr/local/hadoop-2.7.0/
bash-4.1# ls
LICENSE.txt  NOTICE.txt  README.txt  bin  etc  include  input  lib  libexec  logs  sbin  share
bash-4.1# cd etc/
bash-4.1# ls
hadoop
bash-4.1# cd hadoop/
bash-4.1# ls
capacity-scheduler.xml  hadoop-env.sh               httpfs-log4j.properties  kms-site.xml                mapred-site.xml.template  yarn-site.xml
configuration.xsl       hadoop-metrics.properties   httpfs-signature.secret  log4j.properties            slaves
container-executor.cfg  hadoop-metrics2.properties  httpfs-site.xml          mapred-env.cmd              ssl-client.xml.example
core-site.xml           hadoop-policy.xml           kms-acls.xml             mapred-env.sh               ssl-server.xml.example
core-site.xml.template  hdfs-site.xml               kms-env.sh               mapred-queues.xml.template  yarn-env.cmd
hadoop-env.cmd          httpfs-env.sh               kms-log4j.properties     mapred-site.xml             yarn-env.sh
bash-4.1#

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    2.4.1 hadoop-env.sh

    ## 容器中的Java已经安装好，继续使用docker默认的jdk
bash-4.1# vi hadoop-env.sh
# The java implementation to use.
export JAVA_HOME=/usr/java/default
export HADOOP_PREFIX=/usr/local/hadoop
export HADOOP_HOME=/usr/local/hadoop

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    2.4.2 core-site.xml

    bash-4.1# vi core-site.xml
  
      
          fs.defaultFS
          hdfs://master:9000
      
      
          hadoop.tmp.dir
          /usr/local/hadoop-2.7.0/hdpdata
      
  

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    2.4.3 hdfs-site.xml

    配置备份数量，小于等于slave数量

    
    
        dfs.replication
        1
    


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    2.4.4 mapred-site.xml

    ## mr运行场景
bash-4.1# vi mapred-site.xml

    
        mapreduce.framework.name
        yarn
    


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    2.4.5 yarn-site.xml

    bash-4.1# vi yarn-site.xml


    
        yarn.resourcemanager.hostname
        172.17.0.2
    
    
        yarn.nodemanager.aux-services
        mapreduce_shuffle
    


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    2.4.5 将master中的相关配置文件拷贝到slaves

    bash-4.1# scp yarn-site.xml slave1:/usr/local/hadoop-2.7.0/etc/hadoop
yarn-site.xml                                           100%  274     0.3KB/s   00:00
bash-4.1# scp yarn-site.xml slave2:/usr/local/hadoop-2.7.0/etc/hadoop
yarn-site.xml                                           100%  274     0.3KB/s   00:00
bash-4.1#

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    2.4.6 格式化namenode

    bash-4.1# cd /usr/local/hadoop-2.7.0/bin
bash-4.1# ./hadoop namenode -format
DEPRECATED: Use of this script to execute hdfs command is deprecated.
Instead use the hdfs command for it.

21/08/09 01:30:05 INFO namenode.NameNode: STARTUP_MSG:

21/08/09 01:30:14 INFO common.Storage: Storage directory /usr/local/hadoop-2.7.0/hdpdata/dfs/name has been successfully formatted.
21/08/09 01:30:14 INFO namenode.NNStorageRetentionManager: Going to retain 1 images with txid >= 0
21/08/09 01:30:14 INFO util.ExitUtil: Exiting with status 0
21/08/09 01:30:14 INFO namenode.NameNode: SHUTDOWN_MSG:
/************************************************************
SHUTDOWN_MSG: Shutting down NameNode at master/172.17.0.2
************************************************************/

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    2.5 启动hadoop

    bash-4.1# cd /usr/local/hadoop-2.7.0/sbin
## 启动hadoop
bash-4.1# ./start-all.sh
This script is Deprecated. Instead use start-dfs.sh and start-yarn.sh
Starting namenodes on [master]
master: namenode running as process 129. Stop it first.
localhost: datanode running as process 220. Stop it first.
Starting secondary namenodes [0.0.0.0]
0.0.0.0: secondarynamenode running as process 399. Stop it first.
starting yarn daemons
resourcemanager running as process 549. Stop it first.
localhost: nodemanager running as process 642. Stop it first.
bash-4.1# jps
220 DataNode
549 ResourceManager
399 SecondaryNameNode
129 NameNode
2058 Jps
642 NodeManager

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  • 原文地址：https://blog.csdn.net/m0_67402013/article/details/126327483