回到目录

今天要说一下技术点,我们在设计mongodb的数据模型时,如果属性是数组或者集合类型,我们在模型初始化时,需要为它们初始化一下,否则在数据库里将会被存储为NULL,当被存储为NULL时,我们将无法进行组件的push,pull等操作。

之间在设计模型时没有注意这点,然后产生的问题就是,没有被集合赋值,在mongodb里将会存储为NULL

aaarticlea/png;base64,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" alt="" />

aaarticlea/png;base64,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" alt="" />

而在对数组元素进行push时,当然就出现了下面的异常,因为mongodb不知道它是一个数组对象,呵呵

aaarticlea/png;base64,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" alt="" />

当我们为模块的集合属性初始化这后,存储的数据结构就是一个空元素的数组,如图

aaarticlea/png;base64,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" alt="" />

这时我们使用push命令,就可以进行添加元素的操作了

aaarticlea/png;base64,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" alt="" />

下面我们做一个整个的规定:例如下面这个Dog模型,为它的集合属性做了初始化

        public class Dog : NoSqlEntity
{
public Dog()
{
this.AddressHistory = new List<Adderss>();
this.DogHistory = new List<DogHistory>();
this.Foods = new string[] { };
}
public Des Des { get; set; }
public string Title { get; set; }
public string Type { get; set; }
public string[] Foods { get; set; }
public List<DogHistory> DogHistory { get; set; }
public List<Adderss> AddressHistory { get; set; }
}

在进行添加操作时,你就不知道显示的为它们赋值了,没有赋值在mongodb里也会是一个空元素的数组,这是符合我们设计的,看到这个数据模型,是否有点EF里的poco实体的意思,呵呵!

回到目录

MongoDB学习笔记~数据模型属性为集合时应该为它初始化的更多相关文章

  1. MongoDB学习笔记~Update方法更新集合属性后的怪问题

    回到目录 在对MongoDB进行封装后,对于Update更新对象里的集合属性时出现了一个现象,让人感到很恶心,人家更新前是个美丽的Array,但是更新之后集合对象变成了键值对,键是集合的类型名称,值是 ...

  2. MongoDB学习笔记系列

    回到占占推荐博客索引 该来的总会来的,Ef,Redis,MVC甚至Sqlserver都有了自己的系列,MongoDB没有理由不去整理一下,这个系列都是平时在项目开发时总结出来的,希望可以为各位一些帮助 ...

  3. MongoDB学习笔记系列~目录

    MongoDB学习笔记~环境搭建 (2015-03-30 10:34) MongoDB学习笔记~MongoDBRepository仓储的实现 (2015-04-08 12:00) MongoDB学习笔 ...

  4. MongoDB学习笔记(二)--Capped集合 && GridFS存储文件

    Capped集合                                                            Capped集合的大小是固定的,如果空间都被用完了,新添加的对象 ...

  5. mongoDB 学习笔记纯干货(mongoose、增删改查、聚合、索引、连接、备份与恢复、监控等等)

    最后更新时间:2017-07-13 11:10:49 原始文章链接:http://www.lovebxm.com/2017/07/13/mongodb_primer/ MongoDB - 简介 官网: ...

  6. MongoDB学习笔记:快速入门

    MongoDB学习笔记:快速入门   一.MongoDB 简介 MongoDB 是由C++语言编写的,是一个基于分布式文件存储的开源数据库系统.在高负载的情况下,添加更多的节点,可以保证服务器性能.M ...

  7. MongoDB学习笔记:MongoDB 数据库的命名、设计规范

    MongoDB学习笔记:MongoDB 数据库的命名.设计规范     第一部分,我们先说命名规范. 文档 设计约束 UTF-8 字符 不能包含 \0 字符(空字符),这个字符标识建的结尾 . 和 $ ...

  8. MongoDB学习笔记:Python 操作MongoDB

    MongoDB学习笔记:Python 操作MongoDB   Pymongo 安装 安装pymongopip install pymongoPyMongo是驱动程序,使python程序能够使用Mong ...

  9. PHP操作MongoDB学习笔记

    <?php/*** PHP操作MongoDB学习笔记*///*************************//**   连接MongoDB数据库  **////*************** ...

随机推荐

  1. Linux 内核概述 - Linux Kernel

    Linux 内核学习笔记整理. Unix unix 已有40历史,但计算机科学家仍认为其是现存操作系统中最大和最优秀的系统,它已成为一种传奇的存在,历经时间的考验却依然声名不坠. 1973 年,在用 ...

  2. 探究@property申明对象属性时copy与strong的区别

    一.问题来源 一直没有搞清楚NSString.NSArray.NSDictionary--属性描述关键字copy和strong的区别,看别人的项目中属性定义有的用copy,有的用strong.自己在开 ...

  3. 虚拟dom与diff算法 分析

    好文集合: 深入浅出React(四):虚拟DOM Diff算法解析 全面理解虚拟DOM,实现虚拟DOM

  4. windows环境下sublime的nodejs插件详细安装图解

    前面的话   搜索了好多文档后,才成功地安装了sublime text3的nodejs插件.为了存档,也为了方便有同样需求的朋友,将其安装过程详细记录如下 安装nodejs 虽然nodejs官网提供了 ...

  5. 【开源】.Net 分布式服务中心

    分布式服务中心 开源地址: http://git.oschina.net/chejiangyi/Dyd.BaseService.ServiceCenter 当垂直应用越来越多,应用之间交互不可避免,将 ...

  6. CSS——关于z-index及层叠上下文(stacking context)

    以下内容根据CSS规范翻译. z-index 'z-index'Value: auto | <integer> | inheritInitial: autoApplies to: posi ...

  7. AbpZero--1.如何开始

    1.加群 群号:104390185,下载这个文件并解压 用VS2015打开aspnet-zero-1.9.0.1 2.修改Web项目web.config连接字符串 <add name=" ...

  8. 每天一个设计模式-7 生成器模式(Builder)

    每天一个设计模式-7 生成器模式(Builder) 一.实际问题 在讨论工厂方法模式的时候,提到了一个导出数据的应用框架,但是并没有涉及到导出数据的具体实现,这次通过生成器模式来简单实现导出成文本,X ...

  9. css知多少之绝对定位小记

    一.position定位常见属性 对于属性position来说,属性值有static/relative/absolute/fixed/inherit以下只对绝对定位position:absolute详 ...

  10. Android中使用ViewFlipper实现屏幕页面切换(关于坐标轴的问题已补充更改)

    屏幕切换指的是在同一个Activity内屏幕间的切换,ViewFlipper继承了Framelayout类,ViewAnimator类的作用是为FrameLayout里面的View切换提供动画效果.如 ...