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SQLAlchemy

时间:2021-07-01 10:21:17 帮助过:4人阅读

#!/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})
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注:查看数据库连接:show status like ‘Threads%‘;

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。

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 #!/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()
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#!/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()
View Code

 

更多内容详见:

    http://www.jianshu.com/p/e6bba189fcbd

    http://docs.sqlalchemy.org/en/latest/core/expression_api.html

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。

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 #!/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()

SQLAlchemy

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