以前專案基本上全部使用MySQL資料庫, 最近專案排期空出了一點時間leader決定把日誌模組遷移到插入/查詢效能更好的MongoDB上. 多條件查詢的寫法著實費了些功夫, 撰文記錄一下.
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一、準備工作
1. 安裝過程, 不贅述了
#2. 新增ReferencePackage
dotnet add package mongodb.bson dotnet add package mongodb.driver
3. appsetting.json 新增連線配置
"MongodbHost": { "Connection": "mongodb://[username]:[password]@[ip]:[port]", "DataBase": "[database]", "Table": "" },
4. 取得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、查詢方法
這裡的查詢方法是網路上找的, 直接拿來用了. 如果是單一資料來源的話, 這裡的host可以提取出來成為helper類別的屬性.
#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、呼叫查詢方法
這裡還踩了一個坑. MongoDB裡存儲的時間是格林尼治時間, 插入8:00, 查詢時會發現變成了0:00,所以定義時間屬性的時候需要加個標籤
[BsonDateTimeOptions(Kind = DateTimeKind.Local)] public DateTime logtime { get; set; }
這裡的OprLogModel是定義了查詢條件的類別.
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
也可以先定義一個空的filterdefinition, 然後與各查詢條件經由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);
以上是.Net Core對MongoDB執行多條件查詢的詳細內容。更多資訊請關注PHP中文網其他相關文章!