django 表结构

一：查看orm写的sq语句：如果对某个语句不清楚的话可以调用queryset的的query方法来查看sql。

1 obj=Hostinfo.objects.filter(id=val).values(id)

2 print(obj.query)

dbsqlite在创建的时候，系统自动创建了一些表和数据库：

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*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" alt="" />

其中我们比较熟悉的django_session 储存用户session的表。

二：修改表结构

django的orm和sqlalchemy的区别：

前者可以不借助第三方的插件进行修改表结构，而sqlachemy需要借助第三方模块才能修改表结构。django修改完之后，需要执行如下命令：

1、python  manager.py  makemigration

2、 python  manager.py  makemigrate

三：django的表结构关系。

a:多对一。这里和sqlalchemy的区别的是，在sqlalchemy中 是一对多，这里一对多还是多对一，其实就是foreign key的建立在哪个表中。

在django中，foreign key是建立在“多”的表中。如下：

一个用户的类型只有一个，一个类型对应多个用户。在django中外键建立在多的关系中。如下：

 1 from django.db import models

 2

 3 # Create your models here.

 4 class  User(models.Model):

 5     username=models.CharField(max_length=32)

 6     pwd=models.CharField(max_length=32)

 7     user_type=models.ForeignKey('User_type')

 8

 9 class   User_type(models.Model):

10     user_type=models.CharField(max_length=32)

注意：1、如果列的类型是：CharField的话，需要指定字符串的长度。即必须有：max_length参数。

　　　 2、在建立外键的时候如上：user_type=models.ForeignKey('User_type') 参数中 带引号和不带引号，不带引号，下面的"一"的表需要放在“多”的表前面，带引号，则没这个顺序要求。

b:多对多，ManyToMany 多对多情况。

多对多情况，在sqlalchemy中需要我们手动创建第三张表，但是在django中默认创建第三张表，也可以我们手动创建第三表。

比如：抽屉项目中的，新闻表中的点赞，和用户表的关系，一个用户给点赞多个新闻，一个新闻可以被多个用户点赞。

手动创建第三张表的时候：

新闻表：

1 class Title(models.Model):

2     '''

3     功能：该函数主要是存储标题以及标题文章的url地址和归属板块。

4     '''

5     title=models.CharField(max_length=200)

6     url=models.CharField(max_length=200)

7     user=models.ForeignKey('User')

8     area=models.CharField(max_length=32)#板块。

9     date=models.CharField(max_length=100,default=time.strftime("%Y-%m-%d %H:%M:%S",time.gmtime(time.time())))

用户表：

1 class User(models.Model):

2     '''

3     功能：该表主要是存储用户的账号和密码。

4     '''

5     user=models.CharField(max_length=32)

6     pwd=models.CharField(max_length=32)

第三张点赞表，存储的是新闻表和用户表的ID

1 class Good(models.Model):

2     '''

3     功能：该类是用户的点赞信息表。

4     '''

5     # good_count=models.IntegerField()

6     user=models.ForeignKey('User')

7     title=models.ForeignKey('Title')

如果我们不创建第三张表的话，如下：

class User(models.Model):

    '''

    功能：该表主要是存储用户的账号和密码。

    '''

    user=models.CharField(max_length=32)

    pwd=models.CharField(max_length=32)

class Title(models.Model):

    '''

    功能：该函数主要是存储标题以及标题文章的url地址和归属板块。

    '''

    title=models.CharField(max_length=200)

    url=models.CharField(max_length=200)

    user=models.ForeignKey('User')

    area=models.CharField(max_length=32)#板块。

    date=models.CharField(max_length=100,default=time.strftime("%Y-%m-%d %H:%M:%S",time.gmtime(time.time())))

    good=models.ManyToManyField(User)

语法是ManyToMany。

默认第三表的名字是：Title_User.

c:一对一：比如说：一个系统中含有，管理员用户、超级管理员用户。每当一个用户选择自己用户类型，当选择管理员用户的时候，管理员类型的用户就不存在。即管理员用户只有一个用户，一个用户对应一个管理员用户。也就是说

目前数据库中只有2种类型的用户类型，当用户类型使用完之后，在插入数据的话，需要创建用户类型。相当于该列加唯一性索引和外键。

语法用：OnetoOne  在实际数据库中，并不存在一对一的结构。

1 class  User(models.Model):

2     username=models.CharField(max_length=32)

3     pwd=models.CharField(max_length=32)

4

5 class   User_type(models.Model):

6     user_type=models.OneToOneField('User')

7     nid=models.AutoField(primary_key=True)

8     phone_num=models.IntegerField()

9     phone_num_1=models.IntegerField()