sqlalchemy是python操作数据库的一个库。能够进行orm映射,sqlalchemy“采用简单的python语言,为高效和高性能的数据库访问设计,实现了完整的企业级持久模型”
sqlalchemy的理念是,sql数据库的量级和性能重要于对象集合;而对象集合的抽象又重要于表和行。
一安装sqlalchemy
代码如下:
pipinstallsqlalchemy
导入如果没有报错则安装成功
代码如下:>>>importsqlalchemy
>>>sqlalchemy.__version__
'0.9.1'
>>>
二使用sqlalchemy对数据库操作
1.定义元信息,绑定到引擎
代码如下:
(env)ghost@ghost-h61m-s2v-b3:~/project/flask/fsql$python
python2.7.3(default,apr102013,05:13:16)
[gcc4.7.2]onlinux2
typehelp,copyright,creditsorlicenseformoreinformation.
>>>fromsqlalchemyimport*
>>>fromsqlalchemy.ormimport*
>>>engine=create_engine('sqlite:///./sqlalchemy.db',echo=true)#定义引擎
>>>metadata=metadata(engine)#绑定元信息
>>>
2.创建表格,初始化数据库
代码如下:
>>>users_table=table('users',metadata,
...column('id',integer,primary_key=true),
...column('name',string(40)),
...column('email',string(120)))
>>>
>>>users_table.create()
2014-01-0910:03:32,436infosqlalchemy.engine.base.engine
createtableusers(
idintegernotnull,
namevarchar(40),
emailvarchar(120),
primarykey(id)
)
2014-01-0910:03:32,436infosqlalchemy.engine.base.engine()
2014-01-0910:03:32,575infosqlalchemy.engine.base.enginecommit
>>>
执行上述代码,我们就创建一个users表,有id,name,email三个字段
代码如下:
(env)ghost@ghost-h61m-s2v-b3:~/project/flask/fsql$sqlite3sqlalchemy.db
sqliteversion3.7.132012-06-1102:05:22
enter.helpforinstructions
entersqlstatementsterminatedwitha;
sqlite>.tables
users
sqlite>
3.基本操作,插入
如果已经table表已经存在,第二次运行就不许要create了,使用autoload设置
代码如下:
>>>fromsqlalchemyimport*
>>>fromsqlalchemy.ormimport*
>>>engine=create_engine('sqlite:///./sqlalchemy.db',echo=true)
>>>metadata=metadata(engine)
>>>users_table=table('users',metadata,autoload=true)
2014-01-0910:20:01,580infosqlalchemy.engine.base.enginepragmatable_info(users)
2014-01-0910:20:01,581infosqlalchemy.engine.base.engine()
2014-01-0910:20:01,582infosqlalchemy.engine.base.enginepragmaforeign_key_list(users)
2014-01-0910:20:01,583infosqlalchemy.engine.base.engine()
2014-01-0910:20:01,583infosqlalchemy.engine.base.enginepragmaindex_list(users)
2014-01-0910:20:01,583infosqlalchemy.engine.base.engine()
>>>users_table
table('users',metadata(bind=engine(sqlite:///./sqlalchemy.db)),column('id',integer(),table=
>>>
实例化一个插入句柄
代码如下:
>>>i=users_table.insert()
>>>i
>>>printi
insertintousers(id,name,email)values(?,?,?)
>>>i.execute(name='rsj217',email='rsj21@gmail.com')
2014-01-0910:24:02,250infosqlalchemy.engine.base.engineinsertintousers(name,email)values(?,?)
2014-01-0910:24:02,250infosqlalchemy.engine.base.engine('rsj217','rsj21@gmail.com')
2014-01-0910:24:02,251infosqlalchemy.engine.base.enginecommit
>>>i.execute({'name':'ghost'},{'name':'test'})
2014-01-0910:24:57,537infosqlalchemy.engine.base.engineinsertintousers(name)values(?)
2014-01-0910:24:57,537infosqlalchemy.engine.base.engine(('ghost',),('test',))
2014-01-0910:24:57,537infosqlalchemy.engine.base.enginecommit
>>>
数据库内容为
代码如下:
sqlite>select*fromusers;
1|rsj217|rsj21@gmail.com
2|ghost|
3|test|
sqlite>
查询删除和插入类似都需要先实例一个sqlalchemy.sql.dml对象
三使用orm
使用orm就是将pythonclass与数据库的table映射,免去直接写sql语句
创建映射
代码如下:
>>>classuser(object):
...def__repr__(self):
...return'%s(%r,%r)'%(self.__class__.__name__,self.name,self.email)
...
>>>mapper(user,users_table)#创建映射
>>>ul=user()
>>>ul.name
>>>printul
user(none,none)
>>>printul.name
none
>>>
建立会话
查询
代码如下:
>>>session=create_session()
>>>session
>>>query=session.query(user)
>>>query
>>>u=query.filter_by(name='rsj217').first()
2014-01-0910:44:23,809infosqlalchemy.engine.base.engineselectusers.idasusers_id,users.nameasusers_name,users.emailasusers_email
fromusers
whereusers.name=?
limit?offset?
2014-01-0910:44:23,809infosqlalchemy.engine.base.engine('rsj217',1,0)
>>>u.name
u'rsj217'
>>>
插入
代码如下:
>>>fromsqlalchemyimport*
>>>fromsqlalchemy.ormimport*
>>>engine=create_engine('sqlite:///./sqlalchemy.db')
>>>metadata=metadata(engine)
>>>users_table=table('users',metadata,autoload=true)
>>>classuser(object):pass
...
>>>mapper(user,users_table)
>>>session=sessionmaker(bind=engine)
>>>session=session()
>>>u=user()
>>>u.name='new'
>>>session.add(u)
>>>session.flush()
>>>session.commit()
>>>
注意建立会话的方式,sqlalchemy的版本不同sessionmaker的方式更好
剩下删除关系事物等高级操作就参考官方文档了。