.Net Core对MongoDB执行多条件查询

互联网 20-7-18

以前项目基本上全部使用MySQL数据库, 最近项目排期空出了一点时间leader决定把日志模块迁移到插入/查询性能更好的MongoDB上. 多条件查询的写法着实费了些功夫, 撰文记录一下.

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一、准备工作

1. 安装过程, 不赘述了

2. 添加ReferencePackage

dotnet add package mongodb.bson dotnet add package mongodb.driver

3. appsetting.json添加连接配置

"MongodbHost": {   "Connection": "mongodb://[username]:[password]@[ip]:[port]",   "DataBase": "[database]",   "Table": ""  },

4. 获取MongoDBConfig 的方法

public static MongodbHostOptions MongodbConfig() {   var builder = new ConfigurationBuilder()         .SetBasePath(Directory.GetCurrentDirectory())         .AddJsonFile("appsettings.json");    IConfiguration Configuration = builder.Build();   var option = Configuration.GetSection("MongodbHost");   return new MongodbHostOptions { Connection = option["Connection"], DataBase = option["DataBase"], Table = option["Table"] }; }

二、查询方法

这里的查询方法是网上找的, 直接拿来用了. 如果是单一数据源的话, 这里的host可以提取出来成为helper类的属性.

#region FindListByPage 分页查询集合   /// <summary>   /// 分页查询集合   /// </summary>   /// <param name="filter">查询条件</param>   /// <param name="pageIndex">当前页</param>   /// <param name="pageSize">页容量</param>   /// <param name="count">总条数</param>   /// <param name="field">要查询的字段,不写时查询全部</param>   /// <param name="sort">要排序的字段</param>   /// <returns></returns>   public static List<T> FindListByPage(FilterDefinition<T> filter, int pageIndex, int pageSize, out int count, string[] field = null, SortDefinition<T> sort = null)   {     try     {       MongodbHostOptions host = Tools.AppSettingsTools.MongodbConfig();       host.Table = "WSMessageLog";       var client = MongodbClient<T>.MongodbInfoClient(host);       count = Convert.ToInt32(client.CountDocuments(filter));       //不指定查询字段       if (field == null || field.Length == 0)       {         if (sort == null) return client.Find(filter).Skip((pageIndex - 1) * pageSize).Limit(pageSize).ToList();         //进行排序         return client.Find(filter).Sort(sort).Skip((pageIndex - 1) * pageSize).Limit(pageSize).ToList();       }        //指定查询字段       var fieldList = new List<ProjectionDefinition<T>>();       for (int i = 0; i < field.Length; i++)       {         fieldList.Add(Builders<T>.Projection.Include(field[i].ToString()));       }       var projection = Builders<T>.Projection.Combine(fieldList);       fieldList?.Clear();        //不排序       if (sort == null) return client.Find(filter).Project<T>(projection).Skip((pageIndex - 1) * pageSize).Limit(pageSize).ToList();        //排序查询       return client.Find(filter).Sort(sort).Project<T>(projection).Skip((pageIndex - 1) * pageSize).Limit(pageSize).ToList();      }     catch (Exception ex)   {     throw ex;   } } #endregion

三、调用查询方法

这里还踩了一个坑. MongoDB里存储的时间是格林尼治时间, 插入8:00, 查询时会发现变成了0:00,所以定义时间属性的时候需要加个标签

[BsonDateTimeOptions(Kind = DateTimeKind.Local)] public DateTime logtime { get; set; }

这里的OprLogModel是定义了查询条件的类.

public static LogPager<log_operate> Get_operate_log_mongo(OprLogModel qModel) {   LogPager<log_operate> pager = new LogPager<log_operate>();   FilterDefinition<log_operate> filters;     var sortbuilder = Builders<log_operate>.Sort;   var sort = sortbuilder.Descending("operate_time");    #region 用户权限过滤   IEnumerable<string> IdList = dev_deviceRepository.GetBinding(qModel.user_id);    filters = Builders<log_operate>.Filter.In("device_id", IdList);   #endregion    if (!string.IsNullOrEmpty(qModel.device_id))   {     var filters_did = Builders<log_operate>.Filter.Eq("device_id", qModel.device_id);     filters = Builders<log_operate>.Filter.And(filters, filters_did);   }   if (qModel.sDate != null)   {     var filters_sdate = Builders<log_operate>.Filter.Gte<DateTime>("operate_time", Convert.ToDateTime(qModel.sDate));     filters = Builders<log_operate>.Filter.And(filters, filters_sdate);   }   if (qModel.eDate != null)   {     var filters_edate = Builders<log_operate>.Filter.Lte<DateTime>("operate_time", Convert.ToDateTime(qModel.eDate));     filters = Builders<log_operate>.Filter.And(filters, filters_edate);   }   int total;   pager.data = MongoTools<log_operate>.FindListByPage(filters, qModel.pageindex, (qModel.pageindex - 1) * qModel.pagesize, out total, null, sort);   pager.total = total;   return pager; } #endregion

也可以先定义一个空的filterdefinition, 然后与各查询条件通过And聚合:

FilterDefinition<log_operate> filters = FilterDefinition<log_operate>.Empty; var filters_idlist = Builders<log_operate>.Filter.In("device_id", IdList); filters = Builders<log_operate>.Filter.And(filters, filters_idlist);

以上就是.Net Core对MongoDB执行多条件查询的详细内容,更多内容请关注技术你好其它相关文章!

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