8.尚硅谷电商推荐系统预览

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• 课程地址：尚硅谷大数据项目教程(大数据实战电商推荐系统)
• 尚硅谷电商推荐系统的配套资料及虚拟机
  链接：https://pan.baidu.com/s/1iSMqV2wPkEfIsO1FrkxRNQ?pwd=1996
  提取码：1996
• 1.项目体系架构设计（电商推荐系统）
• 2.工具环境搭建（电商推荐系统）
• 3.创建项目并初始化业务数据（电商推荐系统）
• 4.离线推荐服务建设（电商推荐系统）
• 5.实时推荐服务建设（电商推荐系统）
• 6.冷启动问题处理（电商推荐系统）
• 7.基于内容的相似推荐与基于物品的协同过滤推荐
• 8.尚硅谷电商推荐系统预览

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1. 开启前端服务器：systemctl start httpd.service

2. 开启后端服务器：tomcat.sh start

   [root@spark01 ~]# tomcat.sh start
    --------启动 spark01 Tomcat-------
   Using CATALINA_BASE:   /opt/module/tomcat
   Using CATALINA_HOME:   /opt/module/tomcat
   Using CATALINA_TMPDIR: /opt/module/tomcat/temp
   Using JRE_HOME:        /opt/module/jdk1.8.0_212
   Using CLASSPATH:       /opt/module/tomcat/bin/bootstrap.jar:/opt/module/tomcat/bin/tomcat-juli.jar
   Tomcat started.
   [root@spark01 ~]# jps
   1174 Jps
   1163 Bootstrap
   

3. 开启redis数据库：redis.sh start

   [root@spark01 ~]# redis.sh start
    --------启动 spark01 Redis-------
   

4. 开启mongodb数据库：mongodb.sh start

   [root@spark01 ~]# mongodb.sh start
    --------启动 spark01 Mongodb-------
   about to fork child process, waiting until server is ready for connections.
   forked process: 1265
   child process started successfully, parent exiting
   

5. 开启zookeeper服务：zk.sh start

   [root@spark01 ~]# zk.sh start
    --------启动 spark01 Zookeeper-------
   ZooKeeper JMX enabled by default
   Using config: /opt/module/zookeeper/bin/../conf/zoo.cfg
   Starting zookeeper ... STARTED
   [root@spark01 ~]# jps
   1334 QuorumPeerMain
   1351 Jps
   1163 Bootstrap
   

6. 开启kafka：kf.sh start

   [root@spark01 ~]# kf.sh start
    --------启动 spark01 Kafka-------
   [root@spark01 ~]# jps
   1334 QuorumPeerMain
   1590 Kafka
   1610 Jps
   1163 Bootstrap
   

7. 开启flume：f1.sh start

   [root@spark01 ~]# f1.sh start
    --------启动 spark01 采集Flume-------
   [root@spark01 ~]# jps
   1700 Jps
   1334 QuorumPeerMain
   1590 Kafka
   1163 Bootstrap
   1677 Application
   

8. 进入网页前端，浏览器直接输入192.168.88.107，并注册一个账户
   
   得到如下初始界面
   

9. 开启实时推荐：online.sh
   通过手动评分产生评分流数据
   

   [root@spark01 ~]# online.sh
   开始执行………………………………
   streaming started
   rating data coming!>>>>>>>>>>>>>>>>>>>
   rating data coming!>>>>>>>>>>>>>>>>>>>
   rating data coming!>>>>>>>>>>>>>>>>>>>
   rating data coming!>>>>>>>>>>>>>>>>>>>
   rating data coming!>>>>>>>>>>>>>>>>>>>
   rating data coming!>>>>>>>>>>>>>>>>>>>
   rating data coming!>>>>>>>>>>>>>>>>>>>
   rating data coming!>>>>>>>>>>>>>>>>>>>
   rating data coming!>>>>>>>>>>>>>>>>>>>
   

   topic.sh：转存topic的数据：log -> rec，开启 topic.sh才会有rating data coming!>>>>>>>>>>>>>>>>>>>出现！

   [root@spark01 ~]# topic.sh
   kafka stream started!
   product rating data coming!!! 2022-08-09 03:09:47,889   INFO --- [                              http-nio-8088-exec-9]  com.business.rest.ProductRestApi                                                (line:   161)  :  PRODUCT_RATING_PREFIX:96321|6797|5.0|1659985787
   product rating data coming!!! 2022-08-09 03:09:50,411   INFO --- [                             http-nio-8088-exec-10]  com.business.rest.ProductRestApi                                                (line:   161)  :  PRODUCT_RATING_PREFIX:96321|501559|4.5|1659985790
   product rating data coming!!! 2022-08-09 03:09:50,987   INFO --- [                              http-nio-8088-exec-1]  com.business.rest.ProductRestApi                                                (line:   161)  :  PRODUCT_RATING_PREFIX:96321|501559|5.0|1659985790
   product rating data coming!!! 2022-08-09 03:09:53,954   INFO --- [                              http-nio-8088-exec-2]  com.business.rest.ProductRestApi                                                (line:   161)  :  PRODUCT_RATING_PREFIX:96321|57272|3.0|1659985793
   product rating data coming!!! 2022-08-09 03:09:55,412   INFO --- [                              http-nio-8088-exec-3]  com.business.rest.ProductRestApi                                                (line:   161)  :  PRODUCT_RATING_PREFIX:96321|184282|2.5|1659985795
   product rating data coming!!! 2022-08-09 03:09:59,949   INFO --- [                              http-nio-8088-exec-4]  com.business.rest.ProductRestApi                                                (line:   161)  :  PRODUCT_RATING_PREFIX:96321|8195|5.0|1659985799
   product rating data coming!!! 2022-08-09 03:11:33,298   INFO --- [                             http-nio-8088-exec-10]  com.business.rest.ProductRestApi                                                (line:   161)  :  PRODUCT_RATING_PREFIX:96321|6797|5.0|1659985893
   product rating data coming!!! 2022-08-09 03:11:36,096   INFO --- [                              http-nio-8088-exec-8]  com.business.rest.ProductRestApi                                                (line:   161)  :  PRODUCT_RATING_PREFIX:96321|14103|5.0|1659985896
   product rating data coming!!! 2022-08-09 03:11:37,574   INFO --- [                              http-nio-8088-exec-1]  com.business.rest.ProductRestApi                                                (line:   161)  :  PRODUCT_RATING_PREFIX:96321|62138|5.0|1659985897
   

   此时，刷新页面就可以看到实时推荐部分的内容
   

10. 开启离线推荐：offline.sh

    [root@spark01 ~]# offline.sh
    开始执行………………………………
    执行完成
    

    

11. 基于内容的推荐：content.sh

    	[root@spark01 ~]# content.sh 
    开始执行………………………………
    任务完成！！！！
    

12. 基于物品的协同过滤推荐：stat.sh

    [root@spark01 ~]# stat.sh 
    开始执行………………………………
    执行完成