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In the previous article, we more or less introduced the knowledge about Python, and in actual combat, we have to use python development page. In fact, using Framework Development Page is the simplest and easiest. In this chapter, we will introduce the development of pages using the orm framework in Python page development.
What is ORM
##ORM that is Object Relational Mapping, the full name is object relational mapping.
But what does it do? If you have come into contact with some web background optimization, we know that a large part of the work in the web background is the addition, deletion, modification and query of data. If you have to connect to the database, construct sql statements, and execute sql statements every time you operate the database, it will be unavoidable. It's too troublesome, so we can establish a one-to-one mapping relationship between the tables, fields, and rows in the database and the classes, class attributes, and objects in our object-oriented programming, so that we can avoid directly operating the database. Just call the corresponding method.
You can understand by taking an example of what I did in the past. For example, to implement a user registration, how I did it before was that the front desk got the data and passed it to the backend, and then the background strings were spliced to form a sql statement, which was executed in the background.
With
ORM, I only need to instantiate a User object with data, and then call the save method of the object to save it to the database. As a user, there is no need to operate a SQL statement statement. Assume that the User class corresponds to the users table
user=User(id="100001",name="Andy",password="*****") user.save() //保存到数据库 user=User.findById("100001") #从数据库中找出id为"100001"的用户 user.update(password="*********") #更改id为"100001"的用户密码 users=User.findAll() #取出users表中全部数据I asked, isn’t it comfortable to use like this?
Note
IO operations are all asynchronous, and the asynchronous library used is asyncioThe linked database is mysql 5.7, used The mysql asynchronous IO driver is the necessary preparation for aiomysql
to implement ORM --- encapsulating database operations
Create database Connection pool
import asyncioimport aiomysql async def create_pool(**kw):global __pool __pool=await aiomysql.create_pool( host=kw.get('host','localhost'), port=kw.get('port',3306), user=kw['user'], password=kw['password'], db=kw['db'], charset=kw.get('charset','utf8'), autocommit=kw.get('autocommit',True), # 自动提交事务 maxsize=kw.get('maxsize',10), # 池中最多有10个链接对象 minsize=kw.get('minsize',1), )
Encapsulates the select method
async def select(sql,args,size=None): //size可以决定取几条 global __pool with (await __pool) as conn: cur=await conn.cursor(aiomysql.DictCursor) # 用参数替换而非字符串拼接可以防止sql注入 await cur.execute(sql.replace('?','%s'),args) if size: rs=await cur.fetchmany(size) else: rs=await cur.fetchall() await cur.close() return rsIn addition to the select method that returns the query content, the remaining update, Both insert and delete only need to return a number of affected rows, so the three of them can be encapsulated into one execute method
def execute(sql,args): global __pool try: with (await __pool) as conn: cur=await conn.cursor() await cur.execute(sql.replace('?', '%s'), args) affected=cur.rowcount await cur.close() except BaseException as e: raise e return affected
Start implementing ORM
There is an idea in programming called "top-down". So when you don't know how to designORM, you can assume that there is already an ORM framework, how do you want to use it?
class Model(object): async def find(self): pass class User(Model): # 注意这里的都是类属性 __table__="users" id=StringField(...) name=StringField(...) user=User(id="10001",name="Andy") user.save()Have you noticed that when you look at the User class like this, it is very clear that it corresponds to the user table and it is clear at a glance what fields this table has. Then let the subclass inherit the parent class to realize the reuse of find, save... and other methods. It's perfect, but how to achieve it?
字段类的实现
class Field(object): def __init__(self,name,column_type,primary_key,default): self.name=name # 字段名 self.column_type=column_type # 字段数据类型 self.primary_key=primary_key # 是否是主键 self.default=default # 有无默认值 def __str__(self): return '<%s:%s>' % (self.__class__.__name__,self.name) class StringField(Field): def __init__(self,name=None,primary_key=False,default=None,ddl='varchar(100)'): super(StringField,self).__init__(name,ddl,primary_key,default) # 其它字段略,一个道理,一个模式
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