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.
一、准备工作
1. 安装过程, 不赘述了
2. 添加ReferencePackage
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dotnet add package mongodb.bson dotnet add package mongodb.driver |
3. appsetting.json添加连接配置
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"MongodbHost" : { "Connection" : "mongodb://[username]:[password]@[ip]:[port]" , "DataBase" : "[database]" , "Table" : "" }, |
4. 获取MongoDBConfig 的方法
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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.
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#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
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[BsonDateTimeOptions(Kind = DateTimeKind.Local)] public DateTime logtime { get ; set ; } |
这里的OprLogModel是定义了查询条件的类.
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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:
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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如何对MongoDB执行多条件查询的详细内容,更多关于.Net Core对MongoDB 多条件查询的资料请关注服务器之家其它相关文章!
原文链接:https://www.cnblogs.com/carroty/p/12573072.html