[ARCHITECTURE]--03

ARCHITECTURE DAY03

案例1：部署Hadoop
案例2：准备集群环境
案例3：配置Hadoop集群
案例4：初始化并验证集群
案例5：mapreduce模板案例
案例6：部署Yarn

1 案例1：部署Hadoop
1.1 问题

本案例要求安装单机模式Hadoop：

热词分析：
最低配置：2cpu，2G内存，10G硬盘
虚拟机IP：192.168.1.50 hadoop1
安装部署 hadoop
数据分析，查找出现次数最多的单词

1.2 步骤

实现此案例需要按照如下步骤进行。

步骤一：环境准备

1）配置主机名为hadoop1，ip为192.168.1.50，配置yum源（系统源）

备注：由于在之前的案例中这些都已经做过，这里不再重复，不会的学员可以参考之前的案例

2）安装java环境

[root@hadoop1 ~]# yum -y install java-1.8.0-openjdk-devel
[root@hadoop1 ~]# java -version
openjdk version "1.8.0_131"
OpenJDK Runtime Environment (build 1.8.0_131-b12)
OpenJDK 64-Bit Server VM (build 25.131-b12, mixed mode)
[root@hadoop1 ~]# jps
1235 Jps

3）安装hadoop

[root@hadoop1 ~]# cd hadoop/
[root@hadoop1 hadoop]# ls
hadoop-2.7.7.tar.gz  kafka_2.12-2.1.0.tgz  zookeeper-3.4.13.tar.gz
[root@hadoop1 hadoop]# tar -xf hadoop-2.7.7.tar.gz 
[root@hadoop1 hadoop]# mv hadoop-2.7.7 /usr/local/hadoop
[root@hadoop1 hadoop]# cd /usr/local/hadoop
[root@hadoop1 hadoop]# ls
bin  include  libexec      NOTICE.txt  sbin
etc  lib      LICENSE.txt  README.txt  share
[root@hadoop1 hadoop]# ./bin/hadoop   //报错，JAVA_HOME没有找到
Error: JAVA_HOME is not set and could not be found.
[root@hadoop1 hadoop]#

4）解决报错问题

[root@hadoop1 hadoop]# rpm -ql java-1.8.0-openjdk
[root@hadoop1 hadoop]# cd ./etc/hadoop/
[root@hadoop1 hadoop]# vim hadoop-env.sh
25 export JAVA_HOME="/usr/lib/jvm/java-1.8.0-openjdk-1.8.0.161-2.b14.el7.x86_64    /jre"
33 export HADOOP_CONF_DIR="/usr/local/hadoop/etc/hadoop"
[root@hadoop1 ~]# cd /usr/local/hadoop/
[root@hadoop1 hadoop]# ./bin/hadoop
Usage: hadoop [--config confdir] [COMMAND | CLASSNAME]
  CLASSNAME            run the class named CLASSNAME
 or
  where COMMAND is one of:
  fs                   run a generic filesystem user client
  version              print the version
  jar <jar>            run a jar file
                       note: please use "yarn jar" to launch
                             YARN applications, not this command.
  checknative [-a|-h]  check native hadoop and compression libraries availability
  distcp <srcurl> <desturl> copy file or directories recursively
  archive -archiveName NAME -p <parent path> <src>* <dest> create a hadoop archive
  classpath            prints the class path needed to get the
  credential           interact with credential providers
                       Hadoop jar and the required libraries
  daemonlog            get/set the log level for each daemon
  trace                view and modify Hadoop tracing settings
Most commands print help when invoked w/o parameters.

5)词频统计

[root@hadoop1 hadoop]# mkdir /usr/local/hadoop/input
[root@hadoop1 hadoop]# ls
bin  etc  include  lib  libexec  LICENSE.txt  NOTICE.txt  input  README.txt  sbin  share
[root@hadoop1 hadoop]# cp *.txt /usr/local/hadoop/input
[root@hadoop1 hadoop]# ./bin/hadoop jar  \
 share/hadoop/mapreduce/hadoop-mapreduce-examples-2.7.7.jar  wordcount input output        //wordcount为参数 统计input这个文件夹，存到output这个文件里面（这个文件不能存在，要是存在会报错，是为了防止数据覆盖）
[root@hadoop1 hadoop]#  cat   output/part-r-00000    //查看

2 案例2：准备集群环境
2.1 问题

本案例要求：

准备集群环境
最低配置：2CPU，2G内存，10G硬盘
虚拟机IP：
192.168.1.50 hadoop1
192.168.1.51 node-0001
192.168.1.52 node-0002
192.168.1.53 node-0003
要求：禁用selinux、禁用firewalld (所有主机)
安装java-1.8.0-openjdk-devel，并配置 /etc/hosts(所有主机)
设置hadoop1 免密登录其他主机、并不用输入 yes
使所有节点能够ping通，配置SSH信任关系
节点验证

2.2 方案

准备四台虚拟机，由于之前已经准备过一台，所以只需再准备三台新的虚拟机即可，安装hadoop，使所有节点可以ping通，配置SSH信任关系，如图-1所示：

图-1
2.3 步骤

实现此案例需要按照如下步骤进行。

步骤一：环境准备

1）三台机器配置主机名为node-0001、node-0002、node-0003，配置ip地址（ip如图-1所示），yum源（系统源）

2）编辑/etc/hosts（四台主机同样操作，以hadoop1为例）

[root@hadoop1 ~]# vim /etc/hosts
192.168.1.50  hadoop1
192.168.1.51  node-0001
192.168.1.52  node-0002
192.168.1.53  node-0003

3）安装java环境，在node-0001，node-0002，node-0003上面操作（以node-0001为例）

[root@node-0001 ~]# yum -y install java-1.8.0-openjdk-devel

4）布置SSH信任关系

[root@hadoop1 ~]# vim /etc/ssh/ssh_config    //第一次登陆不需要输入yes
Host *
        GSSAPIAuthentication yes
        StrictHostKeyChecking no
[root@hadoop1 .ssh]# 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.
The key fingerprint is:
SHA256:Ucl8OCezw92aArY5+zPtOrJ9ol1ojRE3EAZ1mgndYQM root@hadoop1
The key's randomart image is:
+---[RSA 2048]----+
|        o*E*=.   |
|         +XB+.   |
|        ..=Oo.   |
|        o.+o...  |
|       .S+.. o   |
|        + .=o    |
|         o+oo    |
|        o+=.o    |
|        o==O.    |
+----[SHA256]-----+
[root@hadoop1 .ssh]# for i in 61 62 63 64 ; do  ssh-copy-id  192.168.1.$i; done   
//部署公钥给hadoop1，node-0001，node-0002，node-0003

5）测试信任关系

[root@hadoop1 .ssh]# ssh node-0001
Last login: Fri Sep  7 16:52:00 2018 from 192.168.1.60
[root@node-0001 ~]# exit
logout
Connection to node-0001 closed.
[root@hadoop1 .ssh]# ssh node-0002
Last login: Fri Sep  7 16:52:05 2018 from 192.168.1.60
[root@node-0002 ~]# exit
logout
Connection to node-0002 closed.
[root@hadoop1 .ssh]# ssh node-0003

步骤二：配置hadoop

1）修改slaves文件

[root@hadoop1 ~]# cd  /usr/local/hadoop/etc/hadoop
[root@hadoop1 hadoop]# vim slaves
node-0001
node-0002
node-0003

2）hadoop的核心配置文件core-site

[root@hadoop1 hadoop]# vim core-site.xml
<configuration>
<property>
        <name>fs.defaultFS</name>
        <value>hdfs://hadoop1:9000</value>
    </property>
    <property>
        <name>hadoop.tmp.dir</name>
        <value>/var/hadoop</value>
    </property>
</configuration>
[root@hadoop1 hadoop]# mkdir /var/hadoop        //hadoop的数据根目录

3）配置hdfs-site文件

[root@hadoop1 hadoop]# vim hdfs-site.xml
<configuration>
 <property>
        <name>dfs.namenode.http-address</name>
        <value>hadoop1:50070</value>
    </property>
    <property>
        <name>dfs.namenode.secondary.http-address</name>
        <value>hadoop1:50090</value>
    </property>
    <property>
        <name>dfs.replication</name>
        <value>2</value>
    </property>
</configuration>

3 案例3：配置Hadoop集群
3.1 问题

本案例要求完成hadoop的同步配置：

完成所有Hadoop集群的配置，并同步给所有主机
环境配置文件：hadoop-env.sh
核心配置文件：core-site.xml
HDFS配置文件：hdfs-site.xml
节点配置文件：slaves

3.2 步骤

实现此案例需要按照如下步骤进行。

步骤一：同步

1）同步配置到node-0001，node-0002，node-0003

 [root@hadoop1 hadoop]# for i in 52 53 54 ; do rsync -aSH --delete /usr/local/hadoop/ 
\   192.168.1.$i:/usr/local/hadoop/  -e 'ssh' & done
[1] 23260
[2] 23261
[3] 23262

2）查看是否同步成功

[root@hadoop1 hadoop]# ssh node-0001 ls /usr/local/hadoop/
bin
etc
include
lib
libexec
LICENSE.txt
NOTICE.txt
output
README.txt
sbin
share
input
[root@hadoop1 hadoop]# ssh node-0002 ls /usr/local/hadoop/
bin
etc
include
lib
libexec
LICENSE.txt
NOTICE.txt
output
README.txt
sbin
share
input
[root@hadoop1 hadoop]# ssh node-0003 ls /usr/local/hadoop/
bin
etc
include
lib
libexec
LICENSE.txt
NOTICE.txt
output
README.txt
sbin
share
input

4 案例4：初始化并验证集群
4.1 问题

本案例要求初始化并验证集群：

hadoop1 部署 namenode，secondarynamenode
node-000X 部署 datanode

4.2 步骤

实现此案例需要按照如下步骤进行。

步骤一：格式化

[root@hadoop1 hadoop]# cd /usr/local/hadoop/
[root@hadoop1 hadoop]# ./bin/hdfs namenode -format         //格式化 namenode
[root@hadoop1 hadoop]# ./sbin/start-dfs.sh        //启动
[root@hadoop1 hadoop]# jps        //验证角色
23408 NameNode
23700 Jps
23591 SecondaryNameNode
[root@hadoop1 hadoop]# ./bin/hdfs dfsadmin -report        //查看集群是否组建成功
Live datanodes (3):        //有三个角色成功

步骤二：web 页面验证

firefox http://hadoop1:50070 (namenode)
firefox http://hadoop1:50090 (secondarynamenode)
firefox http://node-0001:50075 (datanode)

5 案例5：mapreduce模板案例
5.1 问题

本案例要求在 hadoop1 上拷贝 mapreduce 模板案例：

配置使用 yarn 的资源管理类
把配置同步给所有主机

5.2 步骤

实现此案例需要按照如下步骤进行。

步骤一：部署mapred-site

1）配置mapred-site（hadoop1上面操作）

[root@hadoop1 ~]# cd /usr/local/hadoop/etc/hadoop/
[root@hadoop1 ~]# mv mapred-site.xml.template mapred-site.xml
[root@hadoop1 ~]# vim mapred-site.xml
<configuration>
<property>
        <name>mapreduce.framework.name</name>
        <value>yarn</value>
    </property>
</configuration>

6 案例6：部署Yarn
6.1 问题

本案例要求：

在之前创建的 4 台虚拟机上部署 Yarn
在虚拟机上安装部署 Yarn
hadoop1 部署 resourcemanager
node(1,2,3) 部署 nodemanager

6.2 方案

在之前创建的 4 台虚拟机上部署 Yarn，如图-1所示：

图-2
6.3 步骤

实现此案例需要按照如下步骤进行。

步骤一：安装与部署hadoop

1）配置yarn-site（hadoop1上面操作）

[root@hadoop1 hadoop]# vim yarn-site.xml
<configuration>
<!-- Site specific YARN configuration properties -->
<property>
        <name>yarn.resourcemanager.hostname</name>
        <value>hadoop1</value>
    </property>
    <property>
        <name>yarn.nodemanager.aux-services</name>
        <value>mapreduce_shuffle</value>
    </property>
</configuration>

2）同步配置（hadoop1上面操作）

[root@hadoop1 hadoop]# for i in {52..54}; do rsync -aSH --delete /usr/local/hadoop/ 192.168.1.$i:/usr/local/hadoop/  -e 'ssh' & done
[1] 712
[2] 713
[3] 714

3）验证配置（hadoop1上面操作）

[root@hadoop1 hadoop]# cd /usr/local/hadoop
[root@hadoop1 hadoop]# ./sbin/start-dfs.sh
Starting namenodes on [hadoop1]
hadoop1: namenode running as process 23408. Stop it first.
node-0001: datanode running as process 22409. Stop it first.
node-0002: datanode running as process 22367. Stop it first.
node-0003: datanode running as process 22356. Stop it first.
Starting secondary namenodes [hadoop1]
hadoop1: secondarynamenode running as process 23591. Stop it first.
[root@hadoop1 hadoop]# ./sbin/start-yarn.sh
starting yarn daemons
starting resourcemanager, logging to /usr/local/hadoop/logs/yarn-root-resourcemanager-hadoop1.out
node-0002: starting nodemanager, logging to /usr/local/hadoop/logs/yarn-root-nodemanager-node-0002.out
node-0003: starting nodemanager, logging to /usr/local/hadoop/logs/yarn-root-nodemanager-node-0003.out
node-0001: starting nodemanager, logging to /usr/local/hadoop/logs/yarn-root-nodemanager-node-0001.out
[root@hadoop1 hadoop]# jps    //hadoop1查看有ResourceManager
23408 NameNode
1043 ResourceManager
1302 Jps
23591 SecondaryNameNode
[root@hadoop1 hadoop]# ssh node-0001 jps        //node-0001查看有NodeManager
25777 Jps
22409 DataNode
25673 NodeManager
[root@hadoop1 hadoop]# ssh node-0002 jps        //node-0001查看有NodeManager
25729 Jps
25625 NodeManager
22367 DataNode
[root@hadoop1 hadoop]# ssh node-0003 jps        //node-0001查看有NodeManager
22356 DataNode
25620 NodeManager
25724 Jps

4）web访问hadoop

firefox http://hadoop1:8088 (resourcemanager)
firefox http://node-0001:8042 (nodemanager)