Django's ORM

Django is a free and open source web application framework whose ORM is built tightly into the system. After its initial release, Django becomes more and more popular due to its straightforward design and easy-to-use web-ready features. It was released under the BSD license in July 2005. Since Django's ORM is built tightly into the web framework, it's not recommended, although possible, to use its ORM in a standalone non-Django Python application.

Django, one of the most popular Python web frameworks, has its own dedicated ORM. Compared to SQLAlchemy, Django's ORM is more geared towards direct SQL object manipulation where it exposes a plain and direct mapping between database tables and Python classes.

 $ django-admin.py startproject demo
$ cd demo
$ python manage.py syncdb
Creating tables ...
Creating table django_admin_log
Creating table auth_permission
Creating table auth_group_permissions
Creating table auth_group
Creating table auth_user_groups
Creating table auth_user_user_permissions
Creating table auth_user
Creating table django_content_type
Creating table django_session You just installed Django's auth system, which means you don't have any superusers defined.
Would you like to create one now? (yes/no): no
Installing custom SQL ...
Installing indexes ...
Installed 0 object(s) from 0 fixture(s)
$ python manage.py shell

Since we cannot execute Django's code without creating a project first, we created a Django project 'demo' in the previous shell and entered the Django shell to test our ORM example.

 # demo/models.py
>>> from django.db import models
>>>
>>>
>>> class Person(models.Model):
... name = models.TextField()
...
... class Meta:
... app_label = 'demo'
...
>>>
>>> class Address(models.Model):
... address = models.TextField()
... person = models.ForeignKey(Person)
...
... class Meta:
... app_label = 'demo'

The code above declared two Python classes, Person and Address, each of which maps to a database table. Before execute any database manipulation code, we need to create the tables in a local sqlite database.

 python manage.py syncdb
Creating tables ...
Creating table demo_person
Creating table demo_address
Installing custom SQL ...
Installing indexes ...
Installed 0 object(s) from 0 fixture(s)

To insert a person and an address into the database, we instantiate the corresponding objects and call the save()methods of those objects.

 >>> from demo.models import Person, Address
>>> p = Person(name='person')
>>> p.save()
>>> print "%r, %r" % (p.id, p.name)
1, 'person'
>>> a = Address(person=p, address='address')
>>> a.save()
>>> print "%r, %r" % (a.id, a.address)
1, 'address'

To get or retrieve the person and address objects, we use the magical objects attribute of the model classes to fetch the objects from the database.

 >>> persons = Person.objects.filter(name='person')
>>> persons
[]
>>> p = persons[0]
>>> print "%r, %r" % (p.id, p.name)
1, u'person'
>>> addresses = Address.objects.filter(person=p)
>>> addresses
[<address>]
>>> a = addresses[0]
>>> print "%r, %r" % (a.id, a.address)
1, u'address'

Python’s SQLAlchemy vs Other ORMs[转发 3]Django's ORM的更多相关文章

  1. Python’s SQLAlchemy vs Other ORMs[转发 7] 比较结论

    Comparison Between Python ORMs For each Python ORM presented in this article, we are going to list t ...

  2. Python’s SQLAlchemy vs Other ORMs[转发 6]SQLAlchemy

    SQLAlchemy SQLAlchemy is an open source SQL toolkit and ORM for the Python programming language rele ...

  3. Python’s SQLAlchemy vs Other ORMs[转发 0]

    原文地址:http://pythoncentral.io/sqlalchemy-vs-orms/ Overview of Python ORMs As a wonderful language, Py ...

  4. Python’s SQLAlchemy vs Other ORMs[转发 2]Storm

    Storm Storm is a Python ORM that maps objects between one or more databases and Python. It allows de ...

  5. Python’s SQLAlchemy vs Other ORMs[转发 1]SQLObject

    SQLObject SQLObject is a Python ORM that maps objects between a SQL database and Python. It is becom ...

  6. Python’s SQLAlchemy vs Other ORMs[转发 4]peewee

    peewee peewee is a small, expressive ORM. Compared to other ORMs, peewee focuses on the principal of ...

  7. Python’s SQLAlchemy vs Other ORMs[转发 5] PonyORM

    PonyORM PonyORM allows you to query the database using Python generators. These generators are trans ...

  8. 基于Python的SQLAlchemy的操作

    安装 在Python使用SQLAlchemy的首要前提是安装相应的模块,当然作为python的优势,可以到python安装目录下的scripts下,同时按住shift+加上鼠标左键,从而在菜单中打开命 ...

  9. SQLAlchemy(1) -- Python的SQLAlchemy和ORM

    Python的SQLAlchemy和ORM(object-relational mapping:对象关系映射) web编程中有一项常规任务就是创建一个有效的后台数据库.以前,程序员是通过写sql语句, ...

随机推荐

  1. 在.NET中使用JQuery 选择器精确提取网页内容

    1. 前言 相信很多人做开发时都有过这样的需求:从网页中准确提取所需的内容.思前想后,方法无非是以下几种:(本人经验尚浅,有更好的方法还请大家指点) 1. 使用正则表达式匹配所需元素.(缺点:同类型的 ...

  2. springboot 注入Servlet,Filter,Listener的方法

    其实就是注入 FilterRegistrationBean . ServletRegistrationBean . ServletListenerRegistrationBean 这三个类   直接上 ...

  3. Dynamics AX 2012 在BI分析中建立数据仓库的必要性

    AX系统已有的BI分析架构 对于AX 的BI分析架构,相信大家都了解,可以看Reinhard之前的译文[译]Dynamics AX 2012 R2 BI系列-分析的架构 . AX 的BI分析架构的优势 ...

  4. python实现排序算法

    冒泡排序  import randomdef BubbleSort(num):    n=len(num)    for i in range(0,n):        for j in range( ...

  5. MOCK DATA -- node路由

    前后端分离,有时候后端接口给的不是很及时,这就需要前端自己mock data, 本文讲的简单的node模拟数据 api路由跳转 首先有个data.js(json)文件, 路由: 配置在dev-serv ...

  6. ping命令脚本实现显示网络状态、学生姓名、学号

    #!/bin/bash a=. ####定义一个固定变量 h=(wanghao xieyunshen 刘桃) ####定义数组 ..} ####for循环,后面的in是条件即从多少循环到多少 do # ...

  7. spring配置文件

    pom文件: <properties> <commons-lang.version>2.6</commons-lang.version> <slf4j.ver ...

  8. 【HDU2255】奔小康赚大钱-KM算法

    Time Limit: 1000/1000 MS (Java/Others) Memory Limit: 32768/32768 K (Java/Others) Problem Description ...

  9. Bootstrap 模态框(Modal)插件

    原文链接:http://www.runoob.com/bootstrap/bootstrap-modal-plugin.html Bootstrap 模态框(Modal)插件 模态框(Modal)是覆 ...

  10. [原]调试ComFriendlyWaitMtaThreadProc崩溃

    项目里安装了UIA相关的钩子来监听UIA相关事件,退出的时候偶尔会崩溃在ComFriendlyWaitMtaThreadProc中,如下  从上图可以看出 是访问到无效的地址了,用!address 0 ...