python 操作SQLAlchemy

SQLAlchemy

 

 python链接

pymysql
    mysql+pymysql://<username>:<password>@<host>/<dbname>[?<options>]

步骤一：

使用 Engine/ConnectionPooling/Dialect 进行数据库操作，Engine使用ConnectionPooling连接数据库，然后再通过Dialect执行SQL语句。

#!/usr/bin/env python
# -*- coding:utf-8 -*-
 
from sqlalchemy import create_engine
 
 
engine = create_engine("mysql+mysqldb://root:123@127.0.0.1:3306/s11", max_overflow=5)
 
engine.execute(
    "INSERT INTO ts_test (a, b) VALUES ('2', 'v1')"
)
 
engine.execute(
     "INSERT INTO ts_test (a, b) VALUES (%s, %s)",
    ((555, "v1"),(666, "v1"),)
)
engine.execute(
    "INSERT INTO ts_test (a, b) VALUES (%(id)s, %(name)s)",
    id=999, name="v1"
)
 
result = engine.execute('select * from ts_test')
result.fetchall()

事务操作

#!/usr/bin/env python
# -*- coding:utf-8 -*-

from sqlalchemy import create_engine


engine = create_engine("mysql+mysqldb://root:123@127.0.0.1:3306/s11", max_overflow=5)


# 事务操作
with engine.begin() as conn:
    conn.execute("insert into table (x, y, z) values (1, 2, 3)")
    conn.execute("my_special_procedure(5)")
    
    
conn = engine.connect()
# 事务操作 
with conn.begin():
       conn.execute("some statement", {'x':5, 'y':10})

事务操作

 

步骤二：

使用 Schema Type/SQL Expression Language/Engine/ConnectionPooling/Dialect 进行数据库操作。Engine使用Schema Type创建一个特定的结构对象，之后通过SQL Expression Language将该对象转换成SQL语句，然后通过 ConnectionPooling 连接数据库，再然后通过 Dialect 执行SQL，并获取结果。

#!/usr/bin/env python
# -*- coding:utf-8 -*-
 
from sqlalchemy import create_engine, Table, Column, Integer, String, MetaData, ForeignKey
 
metadata = MetaData()
 
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)),
)
engine = create_engine("mysql+mysqldb://root:123@127.0.0.1:3306/s11", max_overflow=5)
 
metadata.create_all(engine)
# metadata.clear()
# metadata.remove()

增删改查

#!/usr/bin/env python
# -*- coding:utf-8 -*-

from sqlalchemy import create_engine, Table, Column, Integer, String, MetaData, ForeignKey

metadata = MetaData()

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)),
)
engine = create_engine("mysql+mysqldb://root:123@127.0.0.1:3306/s11", max_overflow=5)

conn = engine.connect()

# 创建SQL语句，INSERT INTO "user" (id, name) VALUES (:id, :name)
conn.execute(user.insert(),{'id':7,'name':'seven'})
conn.close()

# sql = user.insert().values(id=123, name='wu')
# conn.execute(sql)
# conn.close()

# sql = user.delete().where(user.c.id > 1)

# sql = user.update().values(fullname=user.c.name)
# sql = user.update().where(user.c.name == 'jack').values(name='ed')

# sql = select([user, ])
# sql = select([user.c.id, ])
# sql = select([user.c.name, color.c.name]).where(user.c.id==color.c.id)
# sql = select([user.c.name]).order_by(user.c.name)
# sql = select([user]).group_by(user.c.name)

# result = conn.execute(sql)
# print result.fetchall()
# conn.close()

增删改查

 

注：SQLAlchemy无法修改表结构，如果需要可以使用SQLAlchemy开发者开源的另外一个软件Alembic来完成。

步骤三：

使用 ORM/Schema Type/SQL Expression Language/Engine/ConnectionPooling/Dialect 所有组件对数据进行操作。根据类创建对象，对象转换成SQL，执行SQL。

#!/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+mysqldb://root:123@127.0.0.1:3306/s11", max_overflow=5)
 
Base = declarative_base()
 
 
class User(Base):
    __tablename__ = 'users'
    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)
 
Session = sessionmaker(bind=engine)
session = Session()
 
 
# ########## 增 ##########
# u = User(id=2, name='sb')
# session.add(u)
# session.add_all([
#     User(id=3, name='sb'),
#     User(id=4, name='sb')
# ])
# session.commit()
 
# ########## 删除 ##########
# session.query(User).filter(User.id > 2).delete()
# session.commit()
 
# ########## 修改 ##########
# session.query(User).filter(User.id > 2).update({'cluster_id' : 0})
# session.commit()
# ########## 查 ##########
# ret = session.query(User).filter_by(name='sb').first()
 
# ret = session.query(User).filter_by(name='sb').all()
# print ret
 
# ret = session.query(User).filter(User.name.in_(['sb','bb'])).all()
# print ret
 
# ret = session.query(User.name.label('name_label')).all()
# print ret,type(ret)
 
# ret = session.query(User).order_by(User.id).all()
# print ret
 
# ret = session.query(User).order_by(User.id)[1:3]
# print ret
# session.commit()

 另一种写法

#！/usr/bin/env python
# -*- coding:utf-8 -*-
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import Column,Integer,String

from sqlalchemy import create_engine
from sqlalchemy.orm import scoped_session,sessionmaker

db_connect_string = 'mysql://root:123456@localhost:3306/testdb?charset=utf8'
ssl_args={'ssl':{'cert':'/home//ssl/client-cert.pem',
                 'key': '/home//shouse/ssl/client-key.pem',
                 'ca': '/home//shouse/ssl/ca-cert.pem'
                 }}
engine = create_engine(db_connect_string,max_overflow=5)
Sesson = scoped_session(sessionmaker(bind=engine,expire_on_commit=False))

def getSesson():
    return Sesson()

from contextlib import contextmanager

@contextmanager
def session_scope():
    session = Sesson()
    try:
        yield session
        session.commit()
    except:
        session.rollback()
        raise
    finally:
        session.close()


Base =declarative_base()

class Account(Base):
    __tablename__='account'
    id =Column(Integer,primary_key=True)
    user_name = Column(String(50),nullable=False)
    password = Column(String(200),nullable=False)
    title = Column(String(50))
    salary = Column(Integer)
    def is_active(self):
        # 假设所有用户都是活跃用户
        return True
    def get_id(self):
        # 返回账号id
        return self.id
    def is_authenticated(self):
        # 假设已经通过验证
        return True
    def is_anoymous(self):
        # 具有账号名和密码的不是匿名账户
        return False

# 进行数据库操作
from sqlalchemy import or_,orm

def InsertAccount(user,password,title,salary):
    with session_scope() as session:
        account = orm.Account(user_name =user,password=password,title=title,salary=salary)
        session.add(account)

def GetAccount(id=None,user_name=None):
    with session_scope() as session:
        return session.query(orm.Account).filter(or_(orm.Account.id ==id,orm.Account.user_name==user_name)).first()

def DeleteAccount(user_name):
    with session_scope() as session:
        account = GetAccount(user_name=user_name)
        if account:
            session.delete(account)
def UpdateAccount(id,user_name,password,title,salary):
    with session_scope() as session:
        account = session.query(orm.Account).filter(orm.Account.id ==id).first()
        if not account:
            return
        account.user_name = user_name
        account.password=password
        account.title=title
        account.salary=salary

InsertAccount('dawei','123','nb',3000)
InsertAccount('da','456','sb',5000)

GetAccount(2)

DeleteAccount('da')
UpdateAccount(1,'ad','789','2b',5000)