MongoDB学习笔记~数据模型属性为集合时应该为它初始化

时间:2022-05-19 23:25:02

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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

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" 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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

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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!

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