该文docker常用命令
docker search imagename：搜索查找镜像
docker pull imagename：拉取镜像到本地仓库
docker images：查看本地镜像
docker ps：查看正在运行的容器
docker ps -a：查看所有容器
docker run --name master -d -h master 本地镜像名：运行本地镜像 --name 容器名 -d 后台运行 -h 运行容器的主机名
docker exec -it 容器名 bash：进入容器名或id为多少的容器命令行
在容器里面退出命令行 退出该容器 exit ctrl+p+q
docker cp 路径 路径：复制文件

hadoop_15">拉取hadoop镜像

1. 配置加速器：【直接复制过去运行】

sudo mkdir -p /etc/docker
sudo tee /etc/docker/daemon.json <<-'EOF'

{
  "registry-mirrors": ["https://uxk0ognt.mirror.aliyuncs.com"]
}

EOF

sudo systemctl daemon-reload
sudo systemctl restart docker

或者一步一步来：

#新建一个etc下面的docker文件
vi /etc/docker
#往里面输入json
{
  "registry-mirrors": ["https://uxk0ognt.mirror.aliyuncs.com"]
}
#保存退出
:wq
#重载重启docker
systemctl daemon-reload
systemctl restart docker

hadoopstar_46">2.搜索hadoop镜像并拉取star最高的一个

[root@docker ~]# docker search hadoop
NAME                             DESCRIPTION                                     STARS     OFFICIAL   AUTOMATED
sequenceiq/hadoop-docker         An easy way to try Hadoop                       656                  [OK]
uhopper/hadoop                   Base Hadoop image with dynamic configuration…   102                  [OK]
harisekhon/hadoop                Apache Hadoop (HDFS + Yarn, tags 2.2 - 2.8)     67                   [OK]
bde2020/hadoop-namenode          Hadoop namenode of a hadoop cluster             50                   [OK]
bde2020/hadoop-datanode          Hadoop datanode of a hadoop cluster             37                   [OK]
bde2020/hadoop-base              Base image to create hadoop cluster.            20                   [OK]
izone/hadoop                     Hadoop 2.8.5 Ecosystem fully distributed, Ju…   16                   [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]
singularities/hadoop             Apache Hadoop                                   8                    [OK]
harisekhon/hadoop-dev            Apache Hadoop (HDFS + Yarn) + Dev Tools + Gi…   7                    [OK]
apache/hadoop                    Apache Hadoop convenience builds                7                    [OK]
bde2020/hadoop-historyserver     Hadoop history server docker image.             7                    [OK]
anchorfree/hadoop-slave          Hadoop slave image                              5                    
portworx/hadoop-namenode         Hadoop in Docker with Networking and Persist…   4                    [OK]
flokkr/hadoop-hdfs-datanode      Container for HDFS datanode of Apache Hadoop…   4                    
uhopper/hadoop-resourcemanager   Hadoop resourcemanager                          4                    [OK]
portworx/hadoop-yarn             Hadoop in Docker with Networking and Persist…   2                    [OK]
newnius/hadoop                   Setup a Hadoop cluster with docker.             1                    [OK]
danisla/hadoop                   Hadoop image built with native libraries        1                    
openpai/hadoop-run                                                               1                    
flokkr/hadoop-yarn-nodemanager   Container for YARN nodemanager of Apache Had…   1                    
flokkr/hadoop                    Apache Hadoop container with advanced config…   0                    
[root@docker ~]# docker pull docker.io/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: Pull complete 
a3ed95caeb02: Pull complete 
69623ef05416: Pull complete 
8d2023764774: Pull complete 
0c3c0ff61963: Pull complete 
ff0696749bf6: Pull complete 
72accdc282f3: Pull complete 
5298ddb3b339: Pull complete 
f252bbba6bda: Pull complete 
3984257f0553: Pull complete 
26343a20fa29: Pull complete 
faf713cb3a4f: Pull complete 
b7fa02232da2: Pull complete 
b6e914dfab57: Pull complete 
ed0c4a7a604c: Pull complete 
d5381e4d358c: Pull complete 
d31888a1eaab: Pull complete 
a38563c3a214: Pull complete 
1e2a95e2180f: Pull complete 
c0b49f2a09a4: Pull complete 
e771f6981245: Pull complete 
68cc4c8159e8: Pull complete 
d7c5efdc73a8: Pull complete 
59cb42af0672: Pull complete 
4c15bc655c2d: Pull complete 
c70804bb2ffa: Pull complete 
b7dcfd72bdf8: Pull complete 
c08c87bb3e91: Pull complete 
d7099625e685: Pull complete 
dcb8dfa26be4: Pull complete 
4afe05176740: Pull complete 
6a54afb04bb7: Pull complete 
57ffa0650a47: Pull complete 
60aa55c9a90b: Pull complete 
247c8fd8465a: Pull complete 
e00909753b86: Pull complete 
18f53e764edf: Pull complete 
3a8c9b2d833a: Pull complete 
770ef75e185a: Pull complete 
0173662eb77d: Pull complete 
c0a37ad8136f: Pull complete 
47eeef0823a8: Pull complete 
77c1cad6eb69: Pull complete 
ed6629089518: Pull complete 
36a49c5cc0d9: Pull complete 
e6a7899cd72b: Pull complete 
Digest: sha256:5a971a61840d9d32752330a891d528d35a558adf31d99c46205f1180af8e1abd
Status: Downloaded newer image for sequenceiq/hadoop-docker:latest
docker.io/sequenceiq/hadoop-docker:lates 

hadoop_130">3.创建hadoop容器

（1）.查看镜像

docker images

（2）.创建master节点

docker run --name master -d -h master sequenceiq/hadoop-docker
--name：容器名称
-d:后台运行
-h:为容器设置主机名为master

（3）.创建slave节点

[root@docker ~]# docker run --name slave1 -d -h slave1 sequenceiq/hadoop-docker
5b1e70f4c9016af276fba0a6d10e65ae4ff454901cd04a5d47f11aabc7bfd71a
[root@docker ~]# docker run --name slave2 -d -h slave2 sequenceiq/hadoop-docker
38b6a3406d2051bc3c11ed539afe3e92e36647049b78a09d1c7e48d7dfc7b90c
[root@docker ~]# 

（4）.查看运行的容器

[root@docker ~]# docker ps
CONTAINER ID   IMAGE                      COMMAND                  CREATED              STATUS              PORTS                                                                                
                                                NAMES38b6a3406d20   sequenceiq/hadoop-docker   "/etc/bootstrap.sh -d"   About a minute ago   Up About a minute   2122/tcp, 8030-8033/tcp, 8040/tcp, 8042/tcp, 8088/tcp, 19888/tcp, 49707/tcp, 50010/tc
p, 50020/tcp, 50070/tcp, 50075/tcp, 50090/tcp   slave25b1e70f4c901   sequenceiq/hadoop-docker   "/etc/bootstrap.sh -d"   About a minute ago   Up About a minute   2122/tcp, 8030-8033/tcp, 8040/tcp, 8042/tcp, 8088/tcp, 19888/tcp, 49707/tcp, 50010/tc
p, 50020/tcp, 50070/tcp, 50075/tcp, 50090/tcp   slave1b372c98fa64e   sequenceiq/hadoop-docker   "/etc/bootstrap.sh -d"   6 minutes ago        Up 6 minutes        2122/tcp, 8030-8033/tcp, 8040/tcp, 8042/tcp, 8088/tcp, 19888/tcp, 49707/tcp, 50010/tc
p, 50020/tcp, 50070/tcp, 50075/tcp, 50090/tcp   master[root@docker ~]# 

查看所有容器：docker ps -a

（5）.进入容器查看jdk

[root@docker ~]# docker exec -it master 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)
bash-4.1# hostname
master
-bash-4.1# exit      #退出命令行 exit              
logout
bash-4.1# 退出容器 ctrl+p+q
[root@docker ~]# 

hadoop_178">hadoop集群前期准备配置

1.进行ssh免密配置【所有节点都需要，master节点示例】

（1）.先初始化，再以rsa方式生成密钥

里面自己存在的免密配置的文件删除或者覆盖就好了。

bash-4.1# ssh localhost
-bash-4.1# cd ~/.ssh
-bash-4.1# ll
total 16
-rw-r--r--. 1 root root  399 Jul 22  2015 authorized_keys
-rw-------. 1 root root   94 Jul 22  2015 config
-rw-------. 1 root root 1671 Jul 22  2015 id_rsa#私钥
-rw-r--r--. 1 root root  399 Jul 22  2015 id_rsa.pub#公钥
-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:
58:5f:eb:b5:58:93:61:be:ae:eb:8b:7b:d7:7c:b7:2c root@master
The key's randomart image is:
+--[ RSA 2048]----+
|                 |
|                 |
|        .   . o  |
|       o . . + o |
|      . S . . *  |
|           . + + |
|            o oo |
|           ..Eo =|
|          o+==oo+|
+-----------------+
-bash-4.1# 

（2）.将公钥汇到authorized_keys中，固定名字

-bash-4.1# ll     
total 16
-rw-r--r--. 1 root root  399 Jul 22  2015 authorized_keys
-rw-------. 1 root root   94 Jul 22  2015 config
-rw-------. 1 root root 1675 May 11 21:22 id_rsa
-rw-r--r--. 1 root root  393 May 11 21:22 id_rsa.pub
-bash-4.1# rm -r authorized_keys 
-bash-4.1# ll
total 8
-rw-------. 1 root root 1675 May 11 21:22 id_rsa
-rw-r--r--. 1 root root  393 May 11 21:22 id_rsa.pub
-bash-4.1# cat id_rsa.pub > authorized_keys
-bash-4.1# ll
total 12
-rw-r--r--. 1 root root  393 May 11 21:27 authorized_keys
-rw-------. 1 root root 1675 May 11 21:22 id_rsa
-rw-r--r--. 1 root root  393 May 11 21:22 id_rsa.pub
 cat authorized_keys 
ssh-rsa AAAAB3NzaC1yc2EAAAABIwAAAQEAmkOb4NhZYCi9oRwtmMVQo/P5a7F5u1OkL6xUHYSrQY47Vse6K0bduEbe29acarK1jR4xS2tcICGpWhDoFfhV0tsy9gnNPjwEDgOhZ8jeseriXq6tb4kLFMbIQZqpiapoe9I7KD7Ak3VbIcpKH+oh+wjvLzVGc
YCq2/n2MgAyhHI/MDA765Sg5SgcEWASJXsBJ6RYvfViBahVLIc0C9EXwO0v6J0hYH7Qo4brsRfXWGrgZs5otdHS9ndXLdmOqhThEhuJgFGqIqfVV0MfvA4yxgao5UchJrZ+7kjyhbljvGurwd3DCSJApDuM4JS4+d/Nulh5quB37XZ9tor8WWonsQ== root@master-bash-4.1# 

注：可以用命令cp /etc/skel/.bash* /root/ 和 su
把 -bash-4.1# 变成我们熟悉的[root@master~]#，ctrl+p+q 可以退出容器回到主机即宿主机

bash-4.1# cp /etc/skel/.bash* /root/
bash-4.1# su
[root@master~]# 

**注：**一定不能删除config文件，我这边是删除了出的问题，后面如果看到ssh目录下我的教程没有config文件，请不要介意，我已经解决了，上面命令是没有删除config文件的，如果不小心删除可以新建该文件并加入以下内容：

Host *
  UserKnownHostsFile /dev/null
  StrictHostKeyChecking no
  LogLevel quiet
  Port 2122

（3）.在其余节点各自进行上述操作

（4）.把公钥汇到一个authorized_keys中

办法是先各自从docker容器取出来放到主机上，在主机上汇到一起在放到容器中。注意我取出来放到主机/home/hadoop/目录下的名字是ahthorized_master、slave1、slave2_keys，不太合适，但能用，要保证ssh目录下的名字是authorized_keys

[root@docker ~]# mkdir /home/hadoop/
[root@docker ~]# docker cp b372:/root/.ssh/authorized_keys /home/hadoop/ahthorized_master_keys
[root@docker ~]# docker cp slave1:/root/.ssh/authorized_keys /home/hadoop/ahthorized_slave1_keys
[root@docker ~]# docker cp slave2:/root/.ssh/authorized_keys /home/hadoop/ahthorized_slave2_keys
[root@docker ~]# cd /home/hadoop/
[root@docker hadoop]# ll
总用量 12
-rw-r--r--. 1 root root 393 5月  11 21:27 ahthorized_master_keys
-rw-r--r--. 1 root root 393 5月  11 21:45 ahthorized_slave1_keys
-rw-r--r--. 1 root root 393 5月  11 21:38 ahthorized_slave2_keys
[root@docker hadoop]# cat ahthorized_master_keys ahthorized_slave1_keys ahthorized_slave2_keys > authorized_keys
[root@docker hadoop]# cat authorized_keys 
ssh-rsa AAAAB3NzaC1yc2EAAAABIwAAAQEAmkOb4NhZYCi9oRwtmMVQo/P5a7F5u1OkL6xUHYSrQY47Vse6K0bduEbe29acarK1jR4xS2tcICGpWhDoFfhV0tsy9gnNPjwEDgOhZ8jeseriXq6tb4kLFMbIQZqpiapoe9I7KD7Ak3VbIcpKH+oh+wjvLzVGc
YCq2/n2MgAyhHI/MDA765Sg5SgcEWASJXsBJ6RYvfViBahVLIc0C9EXwO0v6J0hYH7Qo4brsRfXWGrgZs5otdHS9ndXLdmOqhThEhuJgFGqIqfVV0MfvA4yxgao5UchJrZ+7kjyhbljvGurwd3DCSJApDuM4JS4+d/Nulh5quB37XZ9tor8WWonsQ== root@masterssh-rsa AAAAB3NzaC1yc2EAAAABIwAAAQEA1E9PWjB45uJXrg7feySs6VrX6h4K3iYl+XHZqFneI0INKKN/OdFMmjj9xiMPJ6Jl+gExuidozEtOU0p+1MjlJCuvd1WIM/NxzFeP7taHi7mclz6u9SEQgNTC29GNjKaGctVGKyQ8qkJER22nMpF65og+fGot7
ajwDobph5KcW0PXBI2A90vFG3utN5ze+4CoPpsriG+97etNI+j0seAjaCsIFEo9EK9sYYMagTvtk/AdqaB/nqF6IuUbp96h5erZguoMlWqXNGRfg8hmEx8v2STU2bswWlS/ZjQ7ZlVcNFD2awC31KOQoT2e/EKLYLszcZuj3LiNss7y/f3gtME36w== root@slave1ssh-rsa AAAAB3NzaC1yc2EAAAABIwAAAQEA7I4HB2GaeVvJUdqH/QVfT5pYK+Y4LOS5yZZKgcJD3Vr3Ki+cVQA02jCtU5cCckSewP/5MLygdKN/OZT6xCOZgTY7y0piPjaZoPeuCAg4u3y/SQqbTVY7S3+YQqUXKtRVTQwxV0Y8wVXsncbC9U52VAwVEtst0
21EJiSNcs6Afkw/LgrP6pSr8pkkCi4SMlvszEgmGQyBbGRgfF3eKtLANq+hm9cT+2A+ypWcGWgTiyZnsLDEAoUsEg033danSVlOQBO3zQPjsuKLqntA40WCYAQMEeo6pXZnGKfoIgtjDI00trJHB2bMEsya2ACnGMJSlaJBeDEAj2nDIO0bKt3cqw== root@slave2       
[root@docker hadoop]# docker cp /home/hadoop/authorized_keys master:/root/.ssh/authorized_keys
[root@docker hadoop]# docker cp /home/hadoop/authorized_keys slave1:/root/.ssh/authorized_keys
[root@docker hadoop]# docker cp /home/hadoop/authorized_keys slave2:/root/.ssh/authorized_keys
[root@docker hadoop]# 

查看：

bash-4.1# cat ~/.ssh/authorized_keys 
ssh-rsa AAAAB3NzaC1yc2EAAAABIwAAAQEAmkOb4NhZYCi9oRwtmMVQo/P5a7F5u1OkL6xUHYSrQY47Vse6K0bduEbe29acarK1jR4xS2tcICGpWhDoFfhV0tsy9gnNPjwEDgOhZ8jeseriXq6tb4kLFMbIQZqpiapoe9I7KD7Ak3VbIcpKH+oh+wjvLzVGc
YCq2/n2MgAyhHI/MDA765Sg5SgcEWASJXsBJ6RYvfViBahVLIc0C9EXwO0v6J0hYH7Qo4brsRfXWGrgZs5otdHS9ndXLdmOqhThEhuJgFGqIqfVV0MfvA4yxgao5UchJrZ+7kjyhbljvGurwd3DCSJApDuM4JS4+d/Nulh5quB37XZ9tor8WWonsQ== root@masterssh-rsa AAAAB3NzaC1yc2EAAAABIwAAAQEA1E9PWjB45uJXrg7feySs6VrX6h4K3iYl+XHZqFneI0INKKN/OdFMmjj9xiMPJ6Jl+gExuidozEtOU0p+1MjlJCuvd1WIM/NxzFeP7taHi7mclz6u9SEQgNTC29GNjKaGctVGKyQ8qkJER22nMpF65og+fGot7
ajwDobph5KcW0PXBI2A90vFG3utN5ze+4CoPpsriG+97etNI+j0seAjaCsIFEo9EK9sYYMagTvtk/AdqaB/nqF6IuUbp96h5erZguoMlWqXNGRfg8hmEx8v2STU2bswWlS/ZjQ7ZlVcNFD2awC31KOQoT2e/EKLYLszcZuj3LiNss7y/f3gtME36w== root@slave1ssh-rsa AAAAB3NzaC1yc2EAAAABIwAAAQEA7I4HB2GaeVvJUdqH/QVfT5pYK+Y4LOS5yZZKgcJD3Vr3Ki+cVQA02jCtU5cCckSewP/5MLygdKN/OZT6xCOZgTY7y0piPjaZoPeuCAg4u3y/SQqbTVY7S3+YQqUXKtRVTQwxV0Y8wVXsncbC9U52VAwVEtst0
21EJiSNcs6Afkw/LgrP6pSr8pkkCi4SMlvszEgmGQyBbGRgfF3eKtLANq+hm9cT+2A+ypWcGWgTiyZnsLDEAoUsEg033danSVlOQBO3zQPjsuKLqntA40WCYAQMEeo6pXZnGKfoIgtjDI00trJHB2bMEsya2ACnGMJSlaJBeDEAj2nDIO0bKt3cqw== root@slave2bash-4.1#

2.进行IP配置

（1）.在master上 ip addr查看地址，ping主机，修改hosts做映射

bash-4.1# ip addr
1: lo: <LOOPBACK,UP,LOWER_UP> mtu 65536 qdisc noqueue state UNKNOWN qlen 1000
    link/loopback 00:00:00:00:00:00 brd 00:00:00:00:00:00
    inet 127.0.0.1/8 scope host lo
       valid_lft forever preferred_lft forever
4: eth0@if5: <BROADCAST,MULTICAST,UP,LOWER_UP,M-DOWN> mtu 1500 qdisc noqueue state UP 
    link/ether 02:42:ac:11:00:02 brd ff:ff:ff:ff:ff:ff
    inet 172.17.0.2/16 brd 172.17.255.255 scope global eth0
       valid_lft forever preferred_lft forever
bash-4.1# ping 192.168.72.123
PING 192.168.72.123 (192.168.72.123) 56(84) bytes of data.
64 bytes from 192.168.72.123: icmp_seq=1 ttl=64 time=0.081 ms
64 bytes from 192.168.72.123: icmp_seq=2 ttl=64 time=0.171 ms
^Z
[3]+  Stopped                 ping 192.168.72.123
bash-4.1# vi /etc/hosts

127.0.0.1       localhost
::1     localhost ip6-localhost ip6-loopback
fe00::0 ip6-localnet
ff00::0 ip6-mcastprefix
ff02::1 ip6-allnodes
ff02::2 ip6-allrouters
172.17.0.2      master
172.17.0.3      slave1
172.17.0.4      slave2

（2）.在slave节点上做同样的事

（3）.验证

[root@docker hadoop]# docker exec -it master bash
[root@master /]# ssh slave1
Last login: Wed May 12 00:09:50 2021 from master
[root@slave1 ~]# logout
[root@master /]# ssh slave2
[root@slave2 ~]# logout
[root@master /]# exit
[root@docker hadoop]# 

hadoop_351">配置hadoop

1.修改配置文件

hadoop_353">（1）.查看hadoop位置

[root@docker hadoop]# docker exec -it master bash
[root@master ~]# whereis hadoop
hadoop: /usr/local/hadoop
[root@master ~]# cd /usr/local/hadoop/
[root@master hadoop]# ll
total 32
-rw-r--r--. 1 10021 10021 15429 Apr 10  2015 LICENSE.txt
-rw-r--r--. 1 10021 10021   101 Apr 10  2015 NOTICE.txt
-rw-r--r--. 1 10021 10021  1366 Apr 10  2015 README.txt
drwxr-xr-x. 2 10021 10021   194 Apr 10  2015 bin
drwxr-xr-x. 1 10021 10021    20 Apr 10  2015 etc
drwxr-xr-x. 2 10021 10021   106 Apr 10  2015 include
drwxr-xr-x. 1 root  root    187 Jul 22  2015 input
drwxr-xr-x. 1 10021 10021    20 Jul 22  2015 lib
drwxr-xr-x. 2 10021 10021   239 Apr 10  2015 libexec
drwxr-xr-x. 1 root  root   4096 May 11 23:59 logs
drwxr-xr-x. 2 10021 10021  4096 Apr 10  2015 sbin
drwxr-xr-x. 4 10021 10021    31 Apr 10  2015 share
[root@master hadoop]# cd etc/hadoop
[root@master hadoop]# ll
total 160
-rw-r--r--. 1 10021 10021  4436 Apr 10  2015 capacity-scheduler.xml
-rw-r--r--. 1 10021 10021  1335 Apr 10  2015 configuration.xsl
-rw-r--r--. 1 10021 10021   318 Apr 10  2015 container-executor.cfg
-rw-r--r--. 1 10021 10021   152 May 11 23:57 core-site.xml
-rw-r--r--. 1 root  root    154 Jul 22  2015 core-site.xml.template
-rw-r--r--. 1 10021 10021  3670 Apr 10  2015 hadoop-env.cmd
-rwxr-xr-x. 1 10021 10021  4302 Jul 22  2015 hadoop-env.sh
-rw-r--r--. 1 10021 10021  2490 Apr 10  2015 hadoop-metrics.properties
-rw-r--r--. 1 10021 10021  2598 Apr 10  2015 hadoop-metrics2.properties
-rw-r--r--. 1 10021 10021  9683 Apr 10  2015 hadoop-policy.xml
-rw-r--r--. 1 root  root    126 Jul 22  2015 hdfs-site.xml
-rwxr-xr-x. 1 10021 10021  1449 Apr 10  2015 httpfs-env.sh
-rw-r--r--. 1 10021 10021  1657 Apr 10  2015 httpfs-log4j.properties
-rw-r--r--. 1 10021 10021    21 Apr 10  2015 httpfs-signature.secret
-rw-r--r--. 1 10021 10021   620 Apr 10  2015 httpfs-site.xml
-rw-r--r--. 1 10021 10021  3518 Apr 10  2015 kms-acls.xml
-rwxr-xr-x. 1 10021 10021  1527 Apr 10  2015 kms-env.sh
-rw-r--r--. 1 10021 10021  1631 Apr 10  2015 kms-log4j.properties
-rw-r--r--. 1 10021 10021  5511 Apr 10  2015 kms-site.xml
-rw-r--r--. 1 10021 10021 11237 Apr 10  2015 log4j.properties
-rw-r--r--. 1 10021 10021   951 Apr 10  2015 mapred-env.cmd
-rwxr-xr-x. 1 10021 10021  1383 Apr 10  2015 mapred-env.sh
-rw-r--r--. 1 10021 10021  4113 Apr 10  2015 mapred-queues.xml.template
-rw-r--r--. 1 root  root    138 Jul 22  2015 mapred-site.xml
-rw-r--r--. 1 10021 10021   758 Apr 10  2015 mapred-site.xml.template
-rw-r--r--. 1 10021 10021    10 Apr 10  2015 slaves
-rw-r--r--. 1 10021 10021  2316 Apr 10  2015 ssl-client.xml.example
-rw-r--r--. 1 10021 10021  2268 Apr 10  2015 ssl-server.xml.example
-rw-r--r--. 1 10021 10021  2250 Apr 10  2015 yarn-env.cmd
-rwxr-xr-x. 1 10021 10021  4567 Apr 10  2015 yarn-env.sh
-rw-r--r--. 1 root  root   1525 Jul 22  2015 yarn-site.xml
[root@master hadoop]# 

hadoopenvsh_410">（2）.配置hadoop-env.sh

vi hadoop-env.sh #里面用的默认的，没必要改了

（2）.配置核心配置文件core-site.xml

配置hdfs的地址和端口号 默认是合适的加个tmp路径就可以了。

  <configuration>
      <property>
          <name>fs.defaultFS</name>
          <value>hdfs://master:9000</value>
      </property>
      <property>
      	<name>hadoop.tmp.dir</name>
      	<value>/hadoop/tmp</value>
      </property>
  </configuration>

hdfssitexml_431">（3）.配置hdfs-site.xml

配置hdfs备份数量【一般三份比较好，机子存储盘不大就改成一份了】，配置namenode和datanode的数据路径，提前键好路径，自己可以按照自己情况来。我的是/hadoop/data、/hadoop/name

[root@master hadoop]# mkdirp -p /hadoop/name
bash: mkdirp: command not found
[root@master hadoop]# mkdir -p /hadoop/name
[root@master hadoop]# mkdir -p /hadoop/data
[root@master hadoop]# cd /hadoop
[root@master hadoop]# ll
total 0
drwxr-xr-x. 2 root root 6 May 12 00:44 data
drwxr-xr-x. 2 root root 6 May 12 00:44 name
[root@master hadoop]#

<configuration>
  <property>
    <name>dfs.replication</name>
    <value>1</value>
  </property>
  <property>
    <name>dfs.datanode.data.dir</name>
    <value>file:/hadoop/data</value>
  </property>
  <property>
    <name>dfs.namenode.name.dir</name>
    <value>file:/hadoop/name</value>
  </property>
</configuration>

（4）.修改mapped-site.xml【mapreduce运行在yarn上】

默认配好了。。。。

<configuration>
  <property>
    <name>mapred.job.tracker</name>
    <value>localhost:9001</value>
</property>
    <property>
        <name>mapreduce.framework.name</name>
        <value>yarn</value>
    </property>
</configuration>

（5）.修改yarn-site.xml【yarn配置】

把原有的加后缀名，新建一该文件：

[root@master hadoop]# cp yarn-site.xml yarn-site.xml.bak
[root@master hadoop]# ll yarn-site.*  
-rw-r--r--. 1 root root 1525 Jul 22  2015 yarn-site.xml
-rw-r--r--. 1 root root 1525 May 12 00:50 yarn-site.xml.bak
[root@master hadoop]# rm yarn-site.xml
[root@master hadoop]# vi yarn-site.xml

<configuration>
        <property>
     <name>yarn.resourcemanager.address</name>
    <value>master:8032</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.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:8089</value>
</property>
</configuration>               

（6）.将这些发送到其它节点

[root@master etc]# scp -r hadoop/ slave1:/usr/local/hadoop/etc/

[root@master etc]# scp -r hadoop/ slave2:/usr/local/hadoop/etc/

（7）.配置slaves【注意】

这个地方，分发完之后再修改master的slaves文件，删除localhost,加入数据节点的名称，每一个名称占一行。如果改完分发过去，其余两个slave节点，一定要恢复成本来默认的只有localhost的文件，不然后面运行集群，这两个节点会多开namenode等进程。

[root@master hadoop]# vi slaves 
## 删除里面的东西  加入master换行slave1换行slave2

2.启动集群做验证

（1）.初始化

#到/usr/local/hadoop/bin/目录下运行
[root@master bin]# ./hadoop namenode -format

注意：初始化完之后会默认开启hadoop集群的。

（2）.开启集群

在sbin目录下开启

[root@master hadoop]# cd sbin/
[root@master sbin]# ./start-all.sh 
This script is Deprecated. Instead use start-dfs.sh and start-yarn.sh
Starting namenodes on [master]
master: starting namenode, logging to /usr/local/hadoop/logs/hadoop-root-namenode-master.out
slave2: starting datanode, logging to /usr/local/hadoop/logs/hadoop-root-datanode-slave2.out
slave1: starting datanode, logging to /usr/local/hadoop/logs/hadoop-root-datanode-slave1.out
master: starting datanode, logging to /usr/local/hadoop/logs/hadoop-root-datanode-master.out
Starting secondary namenodes [0.0.0.0]
0.0.0.0: starting secondarynamenode, logging to /usr/local/hadoop/logs/hadoop-root-secondarynamenode-master.out
starting yarn daemons
resourcemanager running as process 564. Stop it first.
slave2: starting nodemanager, logging to /usr/local/hadoop/logs/yarn-root-nodemanager-slave2.out
master: starting nodemanager, logging to /usr/local/hadoop/logs/yarn-root-nodemanager-master.out
slave1: starting nodemanager, logging to /usr/local/hadoop/logs/yarn-root-nodemanager-slave1.out

（3）.jsp查看进程

[root@master sbin]# jps
3749 NameNode
564 ResourceManager
4015 SecondaryNameNode
4263 NodeManager
4365 Jps
[root@master sbin]# 

（3）.关闭

[root@master sbin]# ./stop-all.sh
This script is Deprecated. Instead use stop-dfs.sh and stop-yarn.sh
Stopping namenodes on [master]
master: stopping namenode
slave2: stopping datanode
slave1: stopping datanode
master: stopping datanode
Stopping secondary namenodes [0.0.0.0]
0.0.0.0: stopping secondarynamenode
stopping yarn daemons
no resourcemanager to stop
master: stopping nodemanager
slave1: stopping nodemanager
slave2: stopping nodemanager
no proxyserver to stop
[root@master sbin]#