一、数据计算步骤汇总
下面我们通过文字梳理一下具体的数据计算步骤。
第一步：历史粉丝关注数据初始化
第二步：实时维护粉丝关注数据
第三步：每天定时更新主播等级
第四步：每天定时更新用户活跃时间
第五步：每周一计算最近一月主播视频评级
第六步：每周一计算最近一周内主播主播的三度关系列表。
第七步：三度关系列表数据导出到Redis
代码下载：
链接：https://pan.baidu.com/s/1kzuwD3XarH26_roq255Yyg?pwd=559p
提取码：559p
二、每天定时更新主播等级
使用Flink程序实现每天定时更新主播等级
1、创建项目
创建子module项目：update_user_level
在项目中创建scala目录，引入scala2.12版本的SDK
创建package：com.imooc.flink
2、添加依赖
在pom.xml中添加依赖
<dependencies>
<dependency>
<groupId>org.slf4j</groupId>
<artifactId>slf4j-api</artifactId>
</dependency>
<dependency>
<groupId>org.slf4j</groupId>
<artifactId>slf4j-log4j12</artifactId>
</dependency>
<dependency>
<groupId>org.neo4j.driver</groupId>
<artifactId>neo4j-java-driver</artifactId>
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-java</artifactId>
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-scala_2.12</artifactId>
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-clients_2.12</artifactId>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-client</artifactId>
</dependency>
</dependencies>
在resources目录中添加log4j.properties配置文件
4、创建UpdateUserLevelScala
创建类：UpdateUserLevelScala
代码如下：
package com.imooc.flink
import org.apache.flink.api.scala.ExecutionEnvironment
import org.neo4j.driver.{AuthTokens, GraphDatabase}
/**
* 任务3：
* 每天定时更新主播等级
*
*/
object UpdateUserLevelScala {
def main(args: Array[String]): Unit = {
var filePath = "hdfs://bigdata01:9000/data/cl_level_user/20260201"
var boltUrl = "bolt://bigdata04:7687"
var userName = "neo4j"
var passWord = "admin"
if(args.length > 0){
filePath = args(0)
boltUrl = args(1)
userName = args(2)
passWord = args(3)
}
val env = ExecutionEnvironment.getExecutionEnvironment
//读取hdfs中的数据
val text = env.readTextFile(filePath)
//校验数据准确性
val filterSet = text.filter(line => {
val fields = line.split("\t")
//判断每一行的列数是否正确，以及这一行是不是表头
if (fields.length == 8 && !fields(0).equals("id")) {
true
} else {
false
}
})
//添加隐式转换代码
import org.apache.flink.api.scala._
//处理数据
filterSet.mapPartition(it => {
//获取neo4j的连接
val driver = GraphDatabase.driver(boltUrl, AuthTokens.basic(userName, passWord))
//开启一个会话
val session = driver.session()
it.foreach(line => {
val fields = line.split("\t")
//添加等级
session.run("merge(u:User {uid:'" + fields(1).trim + "'}) set u.level = " + fields(3).trim)
})
//关闭会话
session.close()
//关闭连接
driver.close()
""
}).print()
}
}
使用之前生成的这份数据
hdfs://bigdata01:9000/data/cl_level_user/20260201
在本地执行代码，到neo4j中确认节点中是否新增了level属性，如果有，就说明程序执行成功了。
5、打包配置
接下来对程序编译打包
在pom.xml中添加编译打包配置
<dependencies>
<dependency>
<groupId>org.slf4j</groupId>
<artifactId>slf4j-api</artifactId>
<scope>provided</scope>
</dependency>
<dependency>
<groupId>org.slf4j</groupId>
<artifactId>slf4j-log4j12</artifactId>
<scope>provided</scope>
</dependency>
<dependency>
<groupId>org.neo4j.driver</groupId>
<artifactId>neo4j-java-driver</artifactId>
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-java</artifactId>
<scope>provided</scope>
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-scala_2.12</artifactId>
<scope>provided</scope>
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-clients_2.12</artifactId>
<scope>provided</scope>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-client</artifactId>
<scope>provided</scope>
</dependency>
</dependencies>
<build>
<plugins>
<!-- 编译插件 -->
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-compiler-plugin</artifactId>
<version>3.6.0</version>
<configuration>
<source>1.8</source>
<target>1.8</target>
<encoding>UTF-8</encoding>
</configuration>
</plugin>
<!-- scala编译插件 -->
<plugin>
<groupId>net.alchim31.maven</groupId>
<artifactId>scala-maven-plugin</artifactId>
<version>3.1.6</version>
<configuration>
<scalaCompatVersion>2.12</scalaCompatVersion>
<scalaVersion>2.12.11</scalaVersion>
<encoding>UTF-8</encoding>
</configuration>
<executions>
<execution>
<id>compile-scala</id>
<phase>compile</phase>
<goals>
<goal>add-source</goal>
<goal>compile</goal>
</goals>
</execution>
<execution>
<id>test-compile-scala</id>
<phase>test-compile</phase>
<goals>
<goal>add-source</goal>
<goal>testCompile</goal>
</goals>
</execution>
</executions>
</plugin>
<!-- 打jar包插件(会包含所有依赖) -->
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-assembly-plugin</artifactId>
<version>2.6</version>
<configuration>
<descriptorRefs>
<descriptorRef>jar-with-dependencies</descriptorRef>
</descriptorRefs>
<archive>
<manifest>
<!-- 可以设置jar包的入口类(可选) -->
<mainClass></mainClass>
</manifest>
</archive>
</configuration>
<executions>
<execution>
<id>make-assembly</id>
<phase>package</phase>
<goals>
<goal>single</goal>
</goals>
</execution>
</executions>
</plugin>
</plugins>
</build>
6、打包
打jar包
D:\IdeaProjects\db_video_recommend_v2\update_user_level>mvn clean package -DskipTests
[INFO] Scanning for projects...
.......
[INFO] --- maven-jar-plugin:2.3.2:jar (default-jar) @ update_user_level ---
[INFO] Building jar: D:\IdeaProjects\db_video_recommend_v2\update_user_level\target\update_user_level-1.0-SNAPSHOT.jar
[INFO]
[INFO] --- maven-assembly-plugin:2.6:single (make-assembly) @ update_user_level ---
[INFO] Building jar: D:\IdeaProjects\db_video_recommend_v2\update_user_level\target\update_user_level-1.0-SNAPSHOT-jar-with-dependencies.jar
[INFO] ------------------------------------------------------------------------
[INFO] BUILD SUCCESS
[INFO] ------------------------------------------------------------------------
[INFO] Total time: 9.082s
[INFO] Final Memory: 43M/889M
[INFO] ------------------------------------------------------------------------
7、开发脚本
开发任务提交脚本
startUpdateUserLevel.sh
#!/bin/bash
#默认获取昨天时间
dt=`date -d "1 days ago" +"%Y%m%d"`
if [ "x$1" != "x" ]
then
dt=$1
fi
#HDFS输入数据路径
filePath="hdfs://bigdata01:9000/data/cl_level_user/${dt}"
masterUrl="yarn-cluster"
appName="UpdateUserLevelScala"`date +%s`
boltUrl="bolt://bigdata04:7687"
userName="neo4j"
passWord="admin"
#注意：需要将flink脚本路径配置到Linux的环境变量中
flink run \
-m ${masterUrl} \
-ynm ${appName} \
-yqu default \
-yjm 1024 \
-ytm 1024 \
-ys 1 \
-p 2 \
-c com.imooc.flink.UpdateUserLevelScala \
/data/soft/video_recommend_v2/jobs/update_user_level-1.0-SNAPSHOT-jar-with-dependencies.jar ${filePath} ${boltUrl} ${userName} ${passWord}
#验证任务执行状态
appStatus=`yarn application -appStates FINISHED -list | grep ${appName} | awk '{print $8}'`
if [ "${appStatus}" != "SUCCEEDED" ]
then
echo "任务执行失败"
# 发送短信或者邮件
else
echo "任务执行成功"
fi
8、上传jar包
将打好的jar包和脚本上传到jobs目录中
[root@bigdata04 jobs]# ll
-rw-r--r--. 1 root root 667 Sep 6 2020 startUpdateUserLevel.sh
-rw-r--r--. 1 root root 4564216 Sep 6 2020 update_user_level-1.0-SNAPSHOT-jar-with-dependencies.jar
9、提交任务
向集群提交任务
[root@bigdata04 jobs]# sh -x startUpdateUserLevel.sh 20260201
任务执行成功，没有问题。
