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SqlAlchemy是Python编程语言下的一款ORM框架,该框架建立在数据库API之上,使用关系对象映射进行数据库操作,简而言之:将对象转换成SQL,然后使用数据API执行SQL并获取执行结果。

MySQL-Python : mysql+mysqldb://<user>:<password>@<host>[:<port>]/<dbname> pymysql : mysql+pymysql://<username>:<password>@<host>/<dbname>[?<options>] MySQL-Connector : mysql+mysqlconnector://<user>:<password>@<host>[:<port>]/<dbname> cx_Oracle : oracle+cx_oracle://user:pass@host:port/dbname[?key=value&key=value...] 更多内容:http://docs.sqlalchemy.org/en/latest/dialects/index.html 备注: * Python2.7版本使用mysqldb * Python3.5版本使用pymysql * 使用pip或者源码包安装,确保环境可以正常使用。 * 确保远程数据库服务器可以正常使用,并且拥有远程登陆权限 数据库授权: * mysql -uroot -p # 登陆数据库 * create database wang # 创建数据库 * grant all on wang.* to wang@"%" identified by ‘123‘ # 授权数据库 * flush privileges # 更新
#!/usr/bin/env python3
#coding:utf8
from sqlalchemy import create_engine, Table, Column, Integer, String, MetaData, ForeignKey
# 创建数据库连接
engine = create_engine("mysql+pymysql://root:123456@127.0.0.1:3306/wang", max_overflow=5)
# 获取元数据
metadata = MetaData()
# 定义表
user = Table(‘user‘, metadata,
Column(‘id‘, Integer, primary_key=True),
Column(‘name‘, String(20)),
)
color = Table(‘color‘, metadata,
Column(‘id‘, Integer, primary_key=True),
Column(‘name‘, String(20)),
)
# 创建数据表,如果数据表存在,则忽视
metadata.create_all(engine)
#!/usr/bin/env python
# -*- coding:utf-8 -*-
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import Column, Integer, String
from sqlalchemy.orm import sessionmaker
from sqlalchemy import create_engine
# 创建数据库
engine = create_engine("mysql+pymysql://root:123456@127.0.0.1:3306/wang", max_overflow=5)
# 生成一个SqlORM 基类
Base = declarative_base()
# 定义表结构
class User(Base):
# 表名
__tablename__ = ‘users‘
# 定义id,主键唯一,
id = Column(Integer, primary_key=True)
name = Column(String(50))
# 寻找Base的所有子类,按照子类的结构在数据库中生成对应的数据表信息
Base.metadata.create_all(engine)
# 创建与数据库的会话session class ,注意,这里返回给session的是个class,不是实例
Session = sessionmaker(bind=engine)
session = Session()
# 获取session,然后把对象添加到session
# 最后提交并关闭。Session对象可视为当前数据库连接。
(2)增加
#!/usr/bin/env python
# -*- coding:utf-8 -*-
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import Column, Integer, String
from sqlalchemy.orm import sessionmaker
from sqlalchemy import create_engine
engine = create_engine("mysql+pymysql://root:123456@127.0.0.1:3306/wang", max_overflow=5)
Base = declarative_base()
class User(Base):
__tablename__ = ‘users‘
id = Column(Integer, primary_key=True)
name = Column(String(50))
Base.metadata.create_all(engine)
Session = sessionmaker(bind=engine)
session = Session()
#### 添加 ########
# 定义一个字段
zengjia = User(id=2, name=‘sbliuyao‘)
# 添加字段
session.add(zengjia)
# 添加多个字段
session.add_all([
User(id=3, name=‘sbyao‘),
User(id=4, name=‘liuyao‘)
])
# 提交以上操作,现在只是在内存中增加,回写到数据库,就必须做提交操作
session.commit()
(3)删除
#!/usr/bin/env python
# -*- coding:utf-8 -*-
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import Column, Integer, String
from sqlalchemy.orm import sessionmaker
from sqlalchemy import create_engine
engine = create_engine("mysql+pymysql://root:123456@127.0.0.1:3306/wang", max_overflow=5)
Base = declarative_base()
class User(Base):
__tablename__ = ‘users‘
id = Column(Integer, primary_key=True)
name = Column(String(50))
Base.metadata.create_all(engine)
Session = sessionmaker(bind=engine)
session = Session()
########### 删除 ##########
# 删除user表,id大于2的字段
session.query(User).filter(User.id > 2).delete()
session.commit()
(4)修改
#!/usr/bin/env python
# -*- coding:utf-8 -*-
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import Column, Integer, String
from sqlalchemy.orm import sessionmaker
from sqlalchemy import create_engine
engine = create_engine("mysql+pymysql://root:123456@127.0.0.1:3306/wang", max_overflow=5)
Base = declarative_base()
class User(Base):
__tablename__ = ‘users‘
id = Column(Integer, primary_key=True)
name = Column(String(50))
Base.metadata.create_all(engine)
Session = sessionmaker(bind=engine)
session = Session()
# user表里的id等于2的字段修改为id=6
session.query(User).filter(User.id == 2).update({‘id‘ : 6})
session.commit()
(5)查询
### 查询方式1 ####
# 查询User表中字段是name=liuyao的第一条数据
ret = session.query(User).filter_by(name=‘liuyao‘).all()
print(ret) # 输出ret,这是个对象的内存地址
for i in ret:
print(i.id,i.name) # 输出ret的内容
### 查询方式2 ####
# 查询user表里字段是name=liuyao的第一条数据
ret = session.query(User).filter_by(name=‘liuyao‘).first()
print(ret) # 输出的结果为对象的内存地址
print(ret.name) # 输出结果的name字段
print(ret.id) # 输出结果的id字段
### 查询方式3 ###
# 查询user表里字段是name是liuyao或者mayun的信息打印出来
ret = session.query(User).filter(User.name.in_([‘liuyao‘,‘mayun‘])).all()
print(ret)
for i in ret:
print(i.name,i.id)
### 查询方式4 ###
# 可以给返回的结果起一个别名,或者叫标签:可有可无
ret = session.query(User.name.label(‘‘)).all()
# 这里的关键是label方法,它的意思是把User的name字段改个名字叫name_label,
# 其相当于执行了:select users.name as name_label from User
print(ret,type(ret))
### 查询方式5 ###
# 查询User表根据id排序
ret = session.query(User).order_by(User.id).all()
print(ret)
for i in ret:
print(i.name)
### 查询方式6 ###
# 查询user表里根据id排序输入0到3的字段
ret = session.query(User).order_by(User.id)[0:3]
print(ret)
for i in ret:
print(i.name)
### 查询方式7 ###
# 创建Query查询,filter是where条件,最后调用one()返回唯一行,如果调用all()则返回所有行
user = session.query(User).filter(User.id==‘5‘).one()
print(type(user)) # 查看user的类型
print(user.name) # 查看对象的name属性
(6)外键关联
#!/usr/bin/env python3
#coding:utf8
# 导入所需模块
from sqlalchemy import create_engine,func
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import Column, Integer, String,ForeignKey
from sqlalchemy.orm import sessionmaker,relationship
# 生成sqlorm基类
Base = declarative_base()
# 创建数据库连接
engine = create_engine("mysql+pymysql://root:123456@127.0.0.1:3306/wang", max_overflow=5)
# 目的是一个人可以拥有多本书,那么在数据库里的一对多关系
class User(Base):
# 表名
__tablename__ = ‘user‘
# id字段
id = Column(String(20), primary_key=True)
# 名字字段
name = Column(String(20))
# 一对多:
# 内容不是表名而是定义的表结构名字
books = relationship(‘Book‘)
class Book(Base):
# 表明
__tablename__ = ‘book‘
# id字段
id = Column(String(20), primary_key=True)
# 名字字段
name = Column(String(20))
# “多”的一方的book表是通过外键关联到user表的:
# ForeignKey是外键 关联user表的id字段
user_id = Column(String(20), ForeignKey(‘user.id‘))
# 创建所需表
Base.metadata.create_all(engine)
if __name__ == ‘__main__‘:
# 绑定,生成会话
SessionCls = sessionmaker(bind=engine)
session = SessionCls()
# 创建用户
liuyao = User(id=‘1‘,name=‘liuyao‘)
ali = User(id=‘2‘,name=‘ali‘)
# 添加字段
session.add_all([liuyao,ali])
# 提交
session.commit()
# 创建白鹿原这本书,指定谁是拥有者
Whitedeer = Book(id=‘1‘,name=‘White_deer‘,user_id = ‘1‘)
# 创建三体这本书,指定谁是拥有者
Threebody = Book(id=‘2‘,name=‘Three_body‘,user_id = ‘2‘)
# 添加字段
session.add_all([Whitedeer,Threebody])
# 提交
session.commit()
#!/usr/bin/env python3
#coding:utf8
from sqlalchemy import Column, Sequence, String, Integer, ForeignKey
from sqlalchemy import create_engine # 导入创建连接驱动
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker
from sqlalchemy.orm import relationship, backref
# 这个url可以用urlparse解析, 其中echo=True表示执行时显示sql语句
engine = create_engine("mysql+pymysql://root:123456@127.0.0.1:3306/wang", max_overflow=5)
# 生成了declarative基类, 以后的model继承此类
Base = declarative_base()
class Parent(Base):
__tablename__ = ‘parent‘
id = Column(Integer, primary_key=True)
name = Column(String(64),unique=True,nullable=False)
children = relationship("Child", back_populates="parent")
class Child(Base):
__tablename__ = ‘child‘
id = Column(Integer, primary_key=True)
name = Column(String(64),unique=True,nullable=False)
parent_id = Column(Integer, ForeignKey(‘parent.id‘))
parent = relationship("Parent", back_populates="children")
Base.metadata.create_all(engine) # 创建所有表结构
if __name__ == ‘__main__‘:
SessionCls = sessionmaker(bind=engine)
# 创建与数据库的会话session class ,注意,这里返回给session的是个class,不是实例
session = SessionCls()
mama = Parent(id=‘1‘,name=‘mamaxx‘)
baba = Parent(id=‘2‘,name=‘babaoo‘)
session.add_all([mama,baba])
onesb = Child(id=‘1‘,name=‘onesb‘,parent_id=‘2‘)
twosb = Child(id=‘2‘,name=‘twosb‘,parent_id=‘2‘)
session.add_all([onesb,twosb])
session.commit()
#!/usr/bin/env python3
#coding:utf8
from sqlalchemy import create_engine,func,Table
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import Column, Integer, String,ForeignKey
from sqlalchemy.orm import sessionmaker,relationship
Base = declarative_base()
# 关系表
Host2Group = Table(‘host_2_group‘,Base.metadata,
Column(‘host_id‘,ForeignKey(‘hosts.id‘),primary_key=True),
Column(‘group_id‘,ForeignKey(‘group.id‘),primary_key=True),
)
engine = create_engine("mysql+pymysql://root:123456@127.0.0.1:3306/wang", max_overflow=5)
class Host(Base):
__tablename__ = ‘hosts‘
id = Column(Integer,primary_key=True,autoincrement=True)
hostname = Column(String(64),unique=True,nullable=False)
ip_addr = Column(String(128),unique=True,nullable=False)
port = Column(Integer,default=22)
groups = relationship(‘Group‘,
secondary= Host2Group,
backref = ‘host_list‘)
class Group(Base):
__tablename__ = ‘group‘
id = Column(Integer,primary_key=True)
name = Column(String(64),unique=True,nullable=False)
Base.metadata.create_all(engine) # 创建所有表结构
if __name__ == ‘__main__‘:
SessionCls = sessionmaker(bind=engine)
session = SessionCls()
g1 = Group(name=‘g1‘)
g2 = Group(name=‘g2‘)
g3 = Group(name=‘g3‘)
g4 = Group(name=‘g4‘)
session.add_all([g1,g2,g3,g4])
session.commit()
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原文地址:http://www.cnblogs.com/wang-yc/p/5720284.html