例子:

public static void getUserRFM(DateTime beginTime, DateTime endTime)
        {
            MongoDatabase mongoDB = getConnection();

//会员消费明细的实体类
            List<Ky_Shopplist> shopplist = new List<Ky_Shopplist>();

//获得Ky_shopplist集合
            MongoCollection col = mongoDB.GetCollection("Ky_Shopplist");

//获得Ky_UserRFM的集合
            MongoCollection colRFM = mongoDB.GetCollection("Ky_UserRFM");

//删除Ky_UserRFM集合中所有的数据
            colRFM.RemoveAll();

//定义获取“buyTime”相关的查询条件
            var query = Query.And(Query.GTE("buyTime", beginTime.ToString("yyyy-MM-dd HH:mm:ss")), Query.LTE("buyTime", endTime.ToString("yyyy-MM-dd HH:mm:ss")));

//var result = col.FindAs<Ky_Shopplist>(query).ToList();
            //var result_all = col.FindAllAs<Ky_Shopplist>().ToList();

//会员RFM值实体类
            List<Ky_UserRFM> userRFMlist = new List<Ky_UserRFM>();

//GroupBy的字段
            GroupByBuilder groupbyBuilder = new GroupByBuilder(new string[] { "userId" });

#region 计算会员R值

try
            {

//计算每组UserId的最大时间
                Dictionary<string, string> dic_R = new Dictionary<string, string>();
                dic_R["time"] = DateTime.Now.ToString();
                var result_R = col.Group(query, groupbyBuilder, BsonDocument.Create(dic_R),
                                    BsonJavaScript.Create("function(obj,prev){if(prev.time>obj.buyTime){prev.time=obj.buyTime;}}"),
                                    BsonJavaScript.Create("function(obj){ obj.btime=obj.time;delete obj.time; }")).ToList();

if (result_R.Count != 0)
                 {
                    //计算出会员距今最近的消费时间和最远的消费时间
                    DateTime Mintime = DateTime.Now;
                    DateTime Maxtime = DateTime.Now;
                    for (int i = 1; i < result_R.Count; i++)
                    {
                        if (i == 1)
                        {
                            Maxtime = Convert.ToDateTime(result_R[i]["btime"]) > Convert.ToDateTime(result_R[0]["btime"]) ? Convert.ToDateTime(result_R[i]["btime"]) : Convert.ToDateTime(result_R[0]["btime"]);

Mintime = Convert.ToDateTime(result_R[i]["btime"]) < Convert.ToDateTime(result_R[0]["btime"]) ? Convert.ToDateTime(result_R[i]["btime"]) : Convert.ToDateTime(result_R[0]["btime"]);

}
                        else
                        {
                            Maxtime = Maxtime > Convert.ToDateTime(result_R[i]["btime"]) ? Maxtime : Convert.ToDateTime(result_R[i]["btime"]);

Mintime = Mintime < Convert.ToDateTime(result_R[i]["btime"]) ? Mintime : Convert.ToDateTime(result_R[i]["btime"]);
                        }
                    }

double R_interval = 0.0;
                    R_interval = (Maxtime - Mintime).TotalSeconds / 5;

//计算会员R值
                    for (int i = 0; i < result_R.Count; i++)
                    {
                        DateTime dtTime = Convert.ToDateTime(result_R[i]["btime"]);
                        string userId = result_R[i]["userId"].ToString();
                        string struser_R = "0";

if (dtTime >= Mintime && dtTime <= Mintime.AddSeconds(R_interval))
                        {
                            struser_R = "1";
                        }
                        if (dtTime >= Mintime.AddSeconds(R_interval) && dtTime <= Mintime.AddSeconds(R_interval * 2))
                        {
                            struser_R = "2";
                        }
                        if (dtTime >= Mintime.AddSeconds(R_interval * 2) && dtTime <= Mintime.AddSeconds(R_interval * 3))
                        {
                            struser_R = "3";
                        }
                        if (dtTime >= Mintime.AddSeconds(R_interval * 3) && dtTime <= Mintime.AddSeconds(R_interval * 4))
                        {
                            struser_R = "4";
                        }
                        if (dtTime >= Mintime.AddSeconds(R_interval * 4) && dtTime <= Maxtime)
                        {
                            struser_R = "5";
                        }

Ky_UserRFM userRFM = new Ky_UserRFM();

userRFM.user_R = struser_R;
                        userRFM.user_F = "0";
                        userRFM.user_M = "0";

userRFM.user_Tagid = "";
                        userRFM.user_Id = userId;
                        userRFM.current_Time = DateTime.Now.ToString("yyyy-MM-dd HH:mm:ss");

userRFMlist.Add(userRFM);
                    }

//批量插入会员RFM表
                    colRFM.InsertBatch(typeof(Ky_UserRFM), userRFMlist);
                }
            }
            catch (Exception ex)
            {
                throw;
            }

#endregion

#region 计算会员F值

try
            {

      //计算每组UserId的次数

Dictionary<string, int> dic_F = new Dictionary<string, int>();
                dic_F["num"] = 0;
                var result_F = col.Group(query, groupbyBuilder, BsonDocument.Create(dic_F),
                                               BsonJavaScript.Create("function(doc,prev){prev.num++;}"),
                                               BsonJavaScript.Create("function(doc){ doc.count=doc.num;delete doc.num; }")).ToList();

if (result_F.Count != 0)
                {
                    //计算出会员最大消费频率和最小消费频率
                    double Maxcount = 0;
                    double Mincount = 0;
                    for (int i = 1; i < result_F.Count; i++)
                    {
                        if (i == 1)
                        {
                            Maxcount = Convert.ToInt32(result_F[i]["count"]) > Convert.ToInt32(result_F[0]["count"]) ? Convert.ToInt32(result_F[i]["count"]) : Convert.ToInt32(result_F[0]["count"]);

Mincount = Convert.ToInt32(result_F[i]["count"]) < Convert.ToInt32(result_F[0]["count"]) ? Convert.ToInt32(result_F[i]["count"]) : Convert.ToInt32(result_F[0]["count"]);
                        }
                        else
                        {
                            Maxcount = Maxcount > Convert.ToInt32(result_F[i]["count"]) ? Maxcount : Convert.ToInt32(result_F[i]["count"]);

Mincount = Mincount < Convert.ToInt32(result_F[i]["count"]) ? Mincount : Convert.ToInt32(result_F[i]["count"]);
                        }
                    }

double F_inteval = 0.0;
                    F_inteval = (Maxcount - Mincount) / 5;

//计算每个会员的F值
                    for (int i = 1; i < result_F.Count; i++)
                    {
                        string strUserid = result_F[i]["userId"].ToString();
                        int icount = Convert.ToInt32(result_F[i]["count"]);
                        string strUser_F = "0";

if (icount >= Mincount && icount <= F_inteval)
                        {
                            strUser_F = "1";
                        }
                        if (icount >= F_inteval && icount <= (F_inteval * 2))
                        {
                            strUser_F = "2";
                        }
                        if (icount >= (F_inteval * 2) && icount <= (F_inteval * 3))
                        {
                            strUser_F = "3";
                        }
                        if (icount >= (F_inteval * 3) && icount <= (F_inteval * 4))
                        {
                            strUser_F = "4";
                        }
                        if (icount >= (F_inteval * 4) && icount <= Maxcount)
                        {
                            strUser_F = "5";
                        }

//执行更新操作
                        var query_F = Query.EQ("user_Id", strUserid);
                        var update_F = new UpdateDocument { { "$set", new QueryDocument { { "user_F", strUser_F } } } };

colRFM.Update(query_F, update_F);
                    }
                }
            }
            catch (Exception ex)
            {
                throw;
            }

#endregion

#region 计算会员M值

try
            {

      //计算每组UserId中price(金额)的总和
                //var query_price = new QueryDocument{{"price",true}};
                //var update_price = new UpdateDocument{{"price",BsonType.Double}};
                //colRFM.Update(query_price, update_price);

Dictionary<string, double> dic_M = new Dictionary<string, double>();
                dic_M["msum"] = 0.0;
                var result_M = col.Group(query, groupbyBuilder, BsonDocument.Create(dic_M),
                                                BsonJavaScript.Create("function(obj,prev){prev.msum += obj.price;}"),
                                                BsonJavaScript.Create("function(obj){obj.sum=obj.msum;delete obj.sum;}")).ToList();

if (result_M.Count != 0)
                {
                    //计算出会员最大的消费金额和最小的消费金额
                    double Maxsum = 0.0;
                    double Minsum = 0.0;
                    for (int i = 1; i < result_M.Count; i++)
                    {
                        if (i == 1)
                        {
                            Maxsum = Convert.ToDouble(result_M[i]["msum"]) > Convert.ToDouble(result_M[0]["msum"]) ? Convert.ToDouble(result_M[i]["msum"]) : Convert.ToDouble(result_M[0]["msum"]);

Minsum = Convert.ToDouble(result_M[i]["msum"]) < Convert.ToDouble(result_M[0]["msum"]) ? Convert.ToDouble(result_M[i]["msum"]) : Convert.ToDouble(result_M[0]["msum"]);
                        }
                        else
                        {
                            Maxsum = Maxsum > Convert.ToDouble(result_M[i]["msum"]) ? Maxsum : Convert.ToDouble(result_M[i]["msum"]);

Minsum = Minsum < Convert.ToDouble(result_M[i]["msum"]) ? Minsum : Convert.ToDouble(result_M[i]["msum"]);
                        }
                    }

double M_interval = 0.0;
                    M_interval = (Maxsum - Minsum) / 5;

//计算每个会员的M值
                    for (int i = 0; i < result_M.Count; i++)
                    {
                        string strUserId = result_M[i]["userId"].ToString();
                        double dsum = Convert.ToDouble(result_M[i]["msum"]);

string struser_M = "0";
                        if (dsum >= Minsum && dsum <= M_interval)
                        {
                            struser_M = "1";
                        }
                        if (dsum >= M_interval && dsum <= (M_interval * 2))
                        {
                            struser_M = "2";
                        }
                        if (dsum >= (M_interval * 2) && dsum <= (M_interval * 3))
                        {
                            struser_M = "3";
                        }
                        if (dsum >= (M_interval * 3) && dsum <= (M_interval * 4))
                        {
                            struser_M = "4";
                        }
                        if (dsum >= (M_interval * 4) && dsum <= Maxsum)
                        {
                            struser_M = "5";
                        }

//执行更新操作
                        var query_M = Query.EQ("user_Id", strUserId);
                        var update_M = new UpdateDocument { { "$set", new QueryDocument { { "user_M", struser_M } } } };

colRFM.Update(query_M, update_M);
                    }
                }
            }
            catch (Exception ex)
            {
                throw;
            }

#endregion

}

C#代码利用MongoDB中Group聚合函数查询的更多相关文章

  1. C#代码 利用MongoDB中Group聚合函数查询

    例子: public static void getUserRFM(DateTime beginTime, DateTime endTime)        {            MongoDat ...

  2. 在MongoDB中实现聚合函数

    在MongoDB中实现聚合函数 随着组织产生的数据爆炸性增长,从GB到TB,从TB到PB,传统的数据库已经无法通过垂直扩展来管理如此之大数据.传统方法存储和处理数据的成本将会随着数据量增长而显著增加. ...

  3. 在MongoDB中实现聚合函数 (转)

    随着组织产生的数据爆炸性增长,从GB到TB,从TB到PB,传统的数据库已经无法通过垂直扩展来管理如此之大数据.传统方法存储和处理数据的成本将会随着数据量增长而显著增加.这使得很多组织都在寻找一种经济的 ...

  4. 浅析mongodb中group分组

    这篇文章主要介绍了浅析mongodb中group分组的实现方法及示例,非常的简单实用,有需要的小伙伴可以参考下. group做的聚合有些复杂.先选定分组所依据的键,此后MongoDB就会将集合依据选定 ...

  5. Mysql中使用聚合函数对null值的处理

    平时因为对于数据库研习的不深,所以在面试的时候问了一些平常遇到过的问题居然没法很肯定地回答出来,实在让自己很恼怒! 这次让我记忆深刻的一个问题是: 在mysql中使用聚合函数的时候比如avg(t),t ...

  6. MongoDB中的聚合操作

    根据MongoDB的文档描述,在MongoDB的聚合操作中,有以下五个聚合命令. 其中,count.distinct和group会提供很基本的功能,至于其他的高级聚合功能(sum.average.ma ...

  7. 75.Python中ORM聚合函数详解:Sum

    Sum:某个字段的总和. 1. 求图书的销售总额,示例代码如下: from django.http import HttpResponse from django.db import connecti ...

  8. 72.Python中ORM聚合函数详解:Avg,aggregate,annotate

    聚合函数: 如果你用原生SQL语句,则可以使用聚合函数提取数据.比如提取某个商品销售的数量,那么就可以使用Count,如果想要知道销售的平均价格,那么就可以使用Avg. 聚合函数是通过aggregat ...

  9. sqlserver中的聚合函数

    聚合函数:就是按照一定的规则将多行(Row)数据汇总成一行的函数,对数据进行汇总前,还可以按特定的列(coloumn)将数据进行分组(group by)再汇总,然后按照再次给定的条件进行筛选 一:Co ...

随机推荐

  1. ecmall程序结构图与常用数据库表

    ecm_acategory:存放的是商城的文章分类.ecm_address:存放的是店长的地址ecm_article:存放的是商城的相关文章ecm_brand:存放的是商城的品牌分类(注意与表ecm_ ...

  2. 源码解读—Stack

    Stack特性:先进后出.后进先出 java.util.Stack实现了这一数据结构. public  class Stack<E> extends Vector<E>,Sta ...

  3. Flex 医疗行程图

    ================================================ 病案的质量控制: 1.医生自检,主任检测,病案室检测达到三级检测 2.人工检测,自动检测 3.抽检(采 ...

  4. Linux平台块设备到字符设备(裸设备)的三种映射方式(转载)

    在Linux平台oracle rac的组建过程中,如果使用ASM+RAW的存储方式的话,由于asm不支持块设备,支持持字符访问设备,所以需要配置将Block Device Drive转变成Charac ...

  5. 修复:"Failed to start Load Kernel Modules"

    使用非默认内核而出现的错误. [zsj@arch ~]$ systemctl --state=failed UNIT LOAD ACTIVE SUB DESCRIPTION● systemd-modu ...

  6. Shell | grep with n following lines

    'foo' sample.txt ➜ dex-method-counts git:(master) ./dex-method-counts ~/Downloads/n.apk | 'hui' hui: ...

  7. lua绑定c++的时候常见得错误

    1 Error parsing reanslation unit 这种情况,首先来说你的python 2.7以及他的插件安装是完整的,最可能的原因就是自己写的ini文件,header路径错误,可以把这 ...

  8. Orchard官方文档翻译(十一) 使用Tags组织文本

    原文地址:http://docs.orchardproject.net/Documentation/Organizing-content-with-tags 想要查看文档目录请用力点击这里 最近想要学 ...

  9. SDUT 3345 数据结构实验之二叉树六:哈夫曼编码

    数据结构实验之二叉树六:哈夫曼编码 Time Limit: 1000MS Memory Limit: 65536KB Submit Statistic Problem Description 字符的编 ...

  10. APP发布Xcode7

    一.准备工作 1>准备3.5寸.4寸.4.7寸.5.5寸的程序截图至少个1张,如果支持iPad,那么iPad截图也要有.这些截图尽量截取页面漂亮的,因为这些截图是要放在AppStore中展示的. ...