利用Flink实现市场营销商业指标统计分析

Dear 丶 2022-09-10 00:24 169阅读 0赞

随着智能手机的普及，在如今的电商网站中已经有越来越多的用户来自移动端，相比起传统浏览器的登录方式，手机APP成为了更多用户访问电商网站的首选。对于电商企业来说，一般会通过各种不同的渠道对自己的APP进行市场推广，而这些渠道的统计数据（比如，不同网站上广告链接的点击量、APP下载量）就成了市场营销的重要商业指标。  
下面示例：APP市场推广统计 - 分渠道  
封装数据的JavaBean类

package com.mischen.it.entity;
    
    import lombok.AllArgsConstructor;
    import lombok.Data;
    import lombok.NoArgsConstructor;
    
    /**
     * @ClassName MarketingUserBehavior
     * @Description DOTO
     * @Author mischen
     * @Date 2021/6/30 0030 8:40
     * @Version 1.0
     **/
    @Data
    @AllArgsConstructor
    @NoArgsConstructor
    public class MarketingUserBehavior {
        private Long userId;
        private String behavior;
        private String channel;
        private Long timestamp;
    }

具体实现代码

package com.mischen.it;
    
    import com.mischen.it.entity.MarketingUserBehavior;
    import org.apache.flink.api.common.typeinfo.Types;
    import org.apache.flink.api.java.tuple.Tuple2;
    import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
    import org.apache.flink.streaming.api.functions.source.RichSourceFunction;
    import org.apache.flink.streaming.api.functions.source.SourceFunction;
    
    import java.util.Arrays;
    import java.util.List;
    import java.util.Random;
    
    /**
     * @ClassName Flink04_Project_AppAnalysis_By_Chanel
     * @Description DOTO
     * @Author mischen
     * @Date 2021/6/30 0030 8:46
     * @Version 1.0
     **/
    public class Flink04_Project_AppAnalysis_By_Chanel {
        public static void main(String[] args) throws Exception {
            StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
            env
                    .addSource(new AppMarketingDataSource())
                    .map(behavior -> Tuple2.of(behavior.getChannel() + "_" + behavior.getBehavior(), 1L))
                    .returns(Types.TUPLE(Types.STRING, Types.LONG))
                    .keyBy(t -> t.f0)
                    .sum(1)
                    .print();
    
            env.execute();
        }
    
        public static class AppMarketingDataSource extends RichSourceFunction<MarketingUserBehavior> {
            boolean canRun = true;
            Random random = new Random();
            List<String> channels = Arrays.asList("huawwei", "xiaomi", "apple", "baidu", "qq", "oppo", "vivo");
            List<String> behaviors = Arrays.asList("download", "install", "update", "uninstall");
    
            @Override
            public void run(SourceFunction.SourceContext<MarketingUserBehavior> ctx) throws Exception {
                while (canRun) {
                    MarketingUserBehavior marketingUserBehavior = new MarketingUserBehavior(
                            (long) random.nextInt(5),
                            behaviors.get(random.nextInt(behaviors.size())),
                            channels.get(random.nextInt(channels.size())),
                            System.currentTimeMillis());
                    ctx.collect(marketingUserBehavior);
                    Thread.sleep(100);
                }
            }
    
            @Override
            public void cancel() {
                canRun = false;
            }
        }
    }