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spark-用户画像demo_spark用户画像

作者：很楠不爱3 | 2024-04-19 18:50:09

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spark用户画像

参考文章：spark-用户画像demon

通过一个demon 来实现简单的用户画像功能（识别用户的性别和年龄段）

数据源包括

  1. app 客户群体信息，包含使用此app客户的年龄分布、性别比例等。
  2. 用户使用不同app的日志

通过用户的使用不同 app 的时间来推断用户的性别和年龄。


配置文件

UserDraw.properties 表示如何解析用户使用app 日志

  1. #用户画像配置文件：
  2. ################################
  3. #字段分隔符号
  4. Separator=\\|
  5. #日期
  6. Date=11
  7. #手机号
  8. MDN=0
  9. #appID
  10. appID=15
  11. #计数
  12. count=1
  13. #使用时长
  14. ProcedureTime=12

UserDrawConfig.java

将properties 文件解析为 config 类

  1. package com.river.userdraw;
  2.  
  3. import cn.hutool.setting.Setting;
  4. import lombok.Data;
  5. import lombok.ToString;
  6.  
  7. import java.io.Serializable;
  8.  
  9. /**
  10.  * @author riverfan
  11.  * 必须序列化，不然就会出错
  12.  */
  13. @Data
  14. @ToString
  15. public class UserDrawConfig implements Serializable {
  16.     public String Separator;
  17.     public Integer dateIndex ;
  18.     public Integer mdnIndex ;
  19.     public Integer appIDIndex ;
  20.     public Integer countIndex ;
  21.     public Long procedureTimeIndex ;
  22.  
  23.     public static UserDrawConfig getInstance(){
  24.         UserDrawConfig userDrawConfig = new UserDrawConfig();
  25.  
  26.         Setting setting = new Setting("UserDraw.properties");
  27.  
  28.         userDrawConfig.setSeparator(setting.get("Separator"));
  29.         userDrawConfig.setDateIndex(Integer.valueOf(setting.get("Date")));
  30.         userDrawConfig.setMdnIndex(Integer.valueOf(setting.get("MDN")));
  31.         userDrawConfig.setAppIDIndex(Integer.valueOf(setting.get("appID")));
  32.         userDrawConfig.setCountIndex(Integer.valueOf(setting.get("count")));
  33.         userDrawConfig.setProcedureTimeIndex(Long.valueOf(setting.get("ProcedureTime")));
  34.         return userDrawConfig;
  35.     }
  36. }

UserDrawVo.java

用户的画像信息（算法比较简单）

  1. package com.river.userdraw;
  2.  
  3. import lombok.Data;
  4. import lombok.NoArgsConstructor;
  5. import lombok.ToString;
  6.  
  7. import java.io.Serializable;
  8.  
  9. /**
  10.  * 用户画像的结果
  11.  * @author riverfan*/
  12. @Data
  13. @NoArgsConstructor
  14. @ToString
  15. public class UserDrawVo implements Serializable {
  16.     private String statTimeDay;
  17.     private String MDN;
  18.     private double male;
  19.     private double female;
  20.     private double age1;
  21.     private double age2;
  22.     private double age3;
  23.     private double age4;
  24.     private double age5;
  25.  
  26.     /** 性别融合 */
  27.     public void protraitSex(double male2, double female2, long times) {
  28.         double sum = (this.male + this.female + (male2 + female2) * times);
  29.         if(sum != 0){
  30.             this.male = (this.male + male2 * times) / sum;
  31.             this.female = (this.female + female2 * times) / sum;
  32.         }
  33.     }
  34.  
  35.     /** 年龄段融合 */
  36.     public void protraitAge(double pAge1, double pAge2, double pAge3, double pAge4, double pAge5, long times) {
  37.         double sum = (age1 + age2 + age3 + age4 + age5 )
  38.                 + (pAge1 + pAge2 + pAge3 + pAge4 + pAge5 ) * times;
  39.         if(sum != 0){
  40.             this.age1 = (pAge1 * times + age1) / sum;
  41.             this.age2 = (pAge2 * times + age2) / sum;
  42.             this.age3 = (pAge3 * times + age3) / sum;
  43.             this.age4 = (pAge4 * times + age4) / sum;
  44.             this.age5 = (pAge5 * times + age5) / sum;
  45.         }
  46.     }
  47.  
  48.     /** 初始化男女概率 */
  49.     public void initSex(float male, float female) {
  50.         float sum = male + female;
  51.         if(sum != 0){
  52.             this.male = male / sum;
  53.             this.female = female / sum;
  54.         }
  55.     }
  56.  
  57.     /** 初始化年龄段概率 */
  58.     public void initAge(float pAge1, float pAge2, float pAge3, float pAge4, float pAge5) {
  59.         float sum = pAge1 + pAge2 + pAge3 + pAge4 + pAge5;
  60.         if(sum != 0){
  61.             this.age1 = pAge1 / sum;
  62.             this.age2 = pAge2 / sum;
  63.             this.age3 = pAge3 / sum;
  64.             this.age4 = pAge4 / sum;
  65.             this.age5 = pAge5 / sum;
  66.         }
  67.     }
  68.  
  69.  
  70.     // 创建画像数据
  71.      public UserDrawVo(UserInfoVo userInfoVo,
  72.                        float male, float female,
  73.                        float age1, float age2, float age3, float age4, float age5) {
  74.  
  75.         this.statTimeDay = userInfoVo.getNow();
  76.         this.MDN = userInfoVo.getMobile();
  77.         this.age1 = age1;
  78.         this.age2 = age2;
  79.         this.age3 = age3;
  80.         this.age4 = age4;
  81.         this.age5 = age5;
  82.  
  83.         // 初始化
  84.         initAge(age1, age2, age3, age4, age5);
  85.         initSex(male, female);
  86.     }
  87. }
  88.

UserInfoVo.java

用户使用app的信息

  1. package com.river.userdraw;
  2.  
  3. import lombok.Data;
  4. import lombok.ToString;
  5.  
  6. import java.io.Serializable;
  7.  
  8. /**
  9.  * @author riverfan
  10.  */
  11. @Data
  12. @ToString
  13. public class UserInfoVo  implements Serializable {
  14.     private String now;
  15.     private String mobile;
  16.     private String appId;
  17.     private Long num;
  18.     private Long userTime;
  19. }

AppUserWeightVo.java

app的用户信息（性别和年龄段）

  1. package com.river.userdraw;
  2.  
  3. import lombok.AllArgsConstructor;
  4. import lombok.Data;
  5.  
  6. /**
  7.  * @author riverfan
  8.  */
  9. @Data
  10. @AllArgsConstructor
  11. public class AppUserWeightVo {
  12.     private String appId;
  13.     private String favourite;
  14.     private Float male;
  15.     private Float female;
  16.     private Float age1;
  17.     private Float age2;
  18.     private Float age3;
  19.     private Float age4;
  20.     private Float age5;
  21. }

UserDrawDemon.java

main function

  1. package com.river.userdraw;
  2.  
  3. import com.google.common.base.Charsets;
  4. import com.google.common.base.Splitter;
  5. import com.google.common.collect.Maps;
  6. import com.google.common.io.Files;
  7. import org.apache.commons.lang.StringUtils;
  8. import org.apache.spark.SparkConf;
  9. import org.apache.spark.api.java.JavaSparkContext;
  10. import scala.Tuple2;
  11.  
  12. import java.io.File;
  13. import java.io.IOException;
  14. import java.text.SimpleDateFormat;
  15. import java.util.*;
  16. import java.util.stream.Collectors;
  17.  
  18. /**
  19.  * @author riverfan
  20.  */
  21. public class UserDrawDemon {
  22.     private static final Splitter SPLITTER = Splitter.on('|');
  23.     public static void main(String[] args) throws IOException {
  24.         UserDrawConfig userDrawConfig = UserDrawConfig.getInstance();
  25.         System.out.println(userDrawConfig);
  26.         SparkConf conf = new SparkConf();
  27.         conf.setAppName("UserDrawDemon");
  28.         //设置master属性
  29.         conf.setMaster("local[2]");
  30.         JavaSparkContext sc = new JavaSparkContext(conf);
  31.         String userdataFile = "/Users/riverfan/mytest/spark/userDraw/userdata.txt";
  32.  
  33.         File file = new File("/Users/riverfan/mytest/spark/userDraw/appTab.txt");
  34.  
  35.         //读取文件  内容比较少 所以直接读取了
  36.         Map<String, AppUserWeightVo> appMap = Files.readLines(file, Charsets.UTF_8)
  37.                 .stream()
  38.                 .map(t -> {
  39.                     List<String> list = SPLITTER.splitToList(t);
  40.                     return new AppUserWeightVo(
  41.                             list.get(0),
  42.                             list.get(1),
  43.                             Float.parseFloat(list.get(2)),
  44.                             Float.parseFloat(list.get(3)),
  45.                             Float.parseFloat(list.get(4)),
  46.                             Float.parseFloat(list.get(5)),
  47.                             Float.parseFloat(list.get(6)),
  48.                             Float.parseFloat(list.get(7)),
  49.                             Float.parseFloat(list.get(8)));
  50.                 }).collect(Collectors.toMap(AppUserWeightVo::getAppId, t -> t));
  51.  
  52.         Map<String, UserDrawVo> userDrawMap = Maps.newHashMap();
  53.         sc.textFile(userdataFile)
  54.                 .map(t -> {
  55.                     List<String> list = SPLITTER.splitToList(t);
  56.                     String now = list.get(userDrawConfig.getDateIndex());
  57.                     UserInfoVo userInfoVo = new UserInfoVo();
  58.                     userInfoVo.setNow(new SimpleDateFormat("yyyyMMdd").format(Long.parseLong(now)));
  59.                     userInfoVo.setMobile(list.get(userDrawConfig.getMdnIndex()));
  60.                     userInfoVo.setAppId(list.get(userDrawConfig.getAppIDIndex()));
  61.                     userInfoVo.setNum(new Long(1));
  62.                     userInfoVo.setUserTime(userDrawConfig.getProcedureTimeIndex());
  63.                     return userInfoVo;
  64.                 })// MDN + appID
  65.                 .mapToPair(s -> new Tuple2<>(s.getMobile() + s.getAppId(), s))
  66.                 .reduceByKey((v1, v2) -> {
  67.                     v1.setNum(v1.getNum() + v2.getNum());
  68.                     v1.setUserTime(v1.getUserTime() + v2.getUserTime());
  69.                     return v1;
  70.                 }).filter(s -> StringUtils.isNotBlank(s._2.getAppId()))
  71.                 .collectAsMap()
  72.                 .forEach((k, v) -> {
  73.                     //如果不包含 app id 就不统计
  74.                     if (!appMap.containsKey(v.getAppId())) {
  75.                         return;
  76.                     }
  77.                     AppUserWeightVo appUserWeightVo = appMap.get(v.getAppId());
  78.                     // 没有在统计的 app 里 也不统计
  79.                     if (appUserWeightVo == null) {
  80.                         return;
  81.                     }
  82.                     //初次统计，需要初始化信息
  83.                     if (!userDrawMap.containsKey(v.getMobile())) {
  84.                         userDrawMap.put(v.getMobile(), new UserDrawVo(v, appUserWeightVo.getMale(),
  85.                                         appUserWeightVo.getFemale(), appUserWeightVo.getAge1(),
  86.                                         appUserWeightVo.getAge2(), appUserWeightVo.getAge3(),
  87.                                         appUserWeightVo.getAge4(), appUserWeightVo.getAge5()));
  88.                         return;
  89.                     }
  90.                     UserDrawVo userDrawVo = userDrawMap.get(v.getMobile());
  91.                     // 性别权重
  92.                     userDrawVo.protraitSex(appUserWeightVo.getMale(), appUserWeightVo.getFemale(), v.getNum());
  93.                     // 年龄段权重
  94.                     userDrawVo.protraitAge(appUserWeightVo.getAge1(), appUserWeightVo.getAge2(), appUserWeightVo.getAge3(), appUserWeightVo.getAge4(), appUserWeightVo.getAge5(), v.getNum());
  95.                 });
  96.         // 遍历打印 结果
  97.         userDrawMap.forEach((k, v) -> System.out.println(k + "   " + v + "    " + Thread.currentThread()));
  98.     }
  99. }

appTab.txt

这里贴出部分数据

  1. 10001|QQ|0.001|0.001|0|0.2|0.3|0.2|0.3
  2. 10002|飞信|0.001|0.001|0|0.2|0.3|0.2|0.3
  3. 10003|MSN|0.001|0.001|0|0.2|0.3|0.2|0.3
  4. 10004|阿里旺旺|0.001|0.001|0|0.2|0.3|0.2|0.3
  5. 10005|微信|0.001|0.001|0|0.2|0.3|0.2|0.3
  6. 10006|陌陌|0.001|0.001|0|0.2|0.3|0.2|0.3
  7. 10007|米聊|0.001|0.001|0|0.2|0.3|0.2|0.3
  8. 10008|啪啪|0.001|0.001|0|0.2|0.3|0.2|0.3
  9. 10009|飞聊|0.001|0.001|0|0.2|0.3|0.2|0.3
  10. 10010|来往|0.001|0.001|0|0.2|0.3|0.2|0.3
  11. 10011|连我|0.001|0.001|0|0.2|0.3|0.2|0.3
  12. 10012|有你|0.001|0.001|0|0.2|0.3|0.2|0.3
  13. 10013|Kakao Talk|0.001|0.001|0|0.2|0.3|0.2|0.3
  14. 10014|Whatsapp|0.001|0.001|0|0.2|0.3|0.2|0.3
  15. 10015|比邻|0.001|0.001|0|0.2|0.3|0.2|0.3
  16. 20016|新浪读书|0.001|0.001|0.1|0.3|0.3|0.2|0.1
  17. 20017|潇湘书院|0.001|0.001|0.1|0.3|0.3|0.2|0.1
  18. 20018|红袖添香|0.001|0.001|0.1|0.3|0.3|0.2|0.1
  19. 20019|纵横中文网|0.001|0.001|0.1|0.3|0.3|0.2|0.1
  20. 20020|掌上书院|0.001|0.001|0.1|0.3|0.3|0.2|0.1
  21. 20021|和阅读|0.001|0.001|0.1|0.3|0.3|0.2|0.1
  22. 20022|掌阅iReader|0.001|0.001|0.1|0.3|0.3|0.2|0.1
  23. 20023|QQ阅读|0.001|0.001|0.1|0.3|0.3|0.2|0.1
  24. 20024|百阅|0.001|0.001|0.1|0.3|0.3|0.2|0.1
  25. 20025|塔读小说|0.001|0.001|0.1|0.3|0.3|0.2|0.1
  26. 20026|Flipboard|0.001|0.001|0.1|0.3|0.3|0.2|0.1
  27. 20027|zaker|0.001|0.001|0.1|0.3|0.3|0.2|0.1
  28. 20028|viva畅读|0.001|0.001|0.1|0.3|0.3|0.2|0.1
  29. 20029|鲜果|0.001|0.001|0.1|0.3|0.3|0.2|0.1
  30. 20030|安卓读书|0.001|0.001|0.1|0.3|0.3|0.2|0.1
  31. 20031|云中书城|0.001|0.001|0.1|0.3|0.3|0.2|0.1
  32. 20032|百度多酷书城|0.001|0.001|0.1|0.3|0.3|0.2|0.1
  33. 20033|阅读星|0.001|0.001|0.1|0.3|0.3|0.2|0.1

userdata.txt

  1. NXxY3tn5XsuFcyzEw8qP8g==|1|100.88.255.208|100.88.184.53|2152|2152|204409856|61650535|18320|81244939|CMNET.MNC002.MCC460.GPRS|1471017931598|23|1|33|330400|1|0|10.32.244.101||43785|0|111.20.242.48||80|724|3718|2|tb.himg.baidu.com|/sys/portraitn/item/e5047a6875313233343531322005||bdtb for Android 7.6.2|image/jpeg|||2912|0||||0|0|255|4006|40060044|500-1000|||2055|116.09607|43.93931|290||4||
  2. +/rmMLtMV+s+gXTDoOaoxQ==|1|100.88.255.71|100.88.189.2|2152|2152|591531008|94392194|18332|102254743|CMNET.MNC002.MCC460.GPRS|1471017991701|0|1|22|220499|9|2|10.227.101.43||46881|0|221.179.178.55||80|941|0|2|api.k.sohu.com|/api/search/v6/hotwords.go?p1=NjA3ODAyMDQwNzQ2OTE5MTIyMw%3D%3D&gid=02ffff1106111119083a8e0ea593b8499ea08bb678c010&pid=-1&apiVersion=35||SohuNews/5.6.0 BuildCode/106||||0|0||||2|0|255|4004|40040016|500-1000|||2728|118.40116|44.72021|100||2||
  3. pRxqXdxHty8oF2NGI/1tNg==|1|100.88.255.208|100.88.190.53|2152|2152|119344128|50899859|18330|82579980|CMNET.MNC002.MCC460.GPRS|1471017987354|80|1|05|050057|9|0|10.30.127.160||50041|0|112.17.1.185||80|642|736|2|pdata.video.iqiyi.com|/k||HCDNClient 10.1.1.22|text/html|||204|0||||0|0|255|4006|40060006|1000-2000|||438|115.98773|42.24422|||4||
  4. H5pNI1xm1wt3Pyf9E9jY5A==|1|100.88.255.201|100.88.185.60|2152|2152|205720576|15470633|18322|81278732|cmnet.MNC002.MCC460.GPRS|1471017857513|115|1|||0|0|10.243.34.147||39828|0|120.55.238.158||80|1116|444|2|service.inke.com|/push/uploadreg?lc=3000000000006914&cv=IK3.0.10_Android&cc=TG36014&ua=OPPON5117&uid=93689652&sid=20SOWbfAka5AoaL5kOUFEM71i2KgOs5eQIIUvdvV3ZIri2lq364i3&devi=864181026876857&imsi=460023493374680&imei=864181026876857&icc=89860024057959334680&conn=3G&vv=1.0.3-2016060211417.android&aid=ea3e31e1e8ab9355&osversion=android_18&proto=4&smid=DurbqHt8FwJFZeL87THICCZ/nKLie60/XuxmCuf0hpN7ndKXFoEPPsVBm+xkH5KI/kL1ZTcEPnkj8Vud5EbIyyVA&type=1&cid=f7b9b9c6693f122591f2cad40c934ff3|||application/json; charset=UTF-8||aliyungf_tc=AQAAAIU2jCR4RwwA+A9o33sXrNFMz38r|56|0||||0|0|255|4006|40060022|1000-2000||||116.07379|43.93334|200||4||
  5. TiasbUQxuUzZjXSFuW770w==|1|100.88.255.200|100.88.190.122|2152|2152|189795328|165711827|18330|102303641|CMNET.MNC007.MCC460.GPRS|1471017993459|3338|1|01|010005|5|0|10.108.49.172||55815|0|112.29.151.173||80|3877|44982|2|mmbiz.qpic.cn|/mmbiz/iabDCicNdsqqo3Xv0p35QHbRzeILGW2cpkBfylwspiaTQBRj5LLEyiaobibELKicIsEez2nKlTaaZhrNXUqIoCZdia5mA/640?wx_fmt=jpeg&tp=webp&wxfrom=5&wx_lazy=1||Mozilla/5.0 (Linux; Android 6.0.1; SM-G9280 Build/MMB29K) AppleWebKit/537.36 (KHTML, like Gecko) Version/4.0 Chrome/37.0.0.0 Mobile MQQBrowser/6.2 TBS/036555 Safari/537.36 MicroMessenger/6.3.23.840 NetType/cmnet Language/zh_CN|image/webp|http://mp.weixin.qq.com/s?__biz=MzA5MTU0NzU0Mg==&mid=2651333827&idx=1&sn=cd21c8aec05fd5bb224ce09ec0c7d829&scene=1&srcid=0811sEb||41944|0||||0|2|255|4002|40020166|4000-5000|||191|115.99189|42.23195|551||4||
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