• Flask-SQLAichemy一二


    一、ORM操作

      创建数据库表

    from sqlalchemy.ext.declarative import declarative_base
    from sqlalchemy import Column
    from sqlalchemy import Integer,String,Text,Date,DateTime
    from sqlalchemy import create_engine
    
    Base = declarative_base()
    
    ########## 构建表结构
    class Users(Base):
        __tablename__='users'
    
        id = Column(Integer,primary_key=True)
        name = Column(String(32),nullable=False,index=True)
        # email = Column(String(32), unique=True)
        # ctime = Column(DateTime, default=datetime.datetime.now)
        # extra = Column(Text, nullable=True)
    
    
    ########### 链接数据库创建表
    def create_table():
        engine = create_engine(
            "mysql+pymysql://root:111111@127.0.0.1:3306/sqlarchemy01?charset=utf8",
            max_overflow=0,  # 超过连接池大小外最多创建的连接
            pool_size=5,  # 连接池大小
            pool_timeout=30,  # 池中没有线程最多等待的时间,否则报错
            pool_recycle=-1  # 多久之后对线程池中的线程进行一次连接的回收(重置)(-1代表一次也不回收)
        )
        Base.metadata.create_all(engine)
    
    
    def drop_all():
        engine = create_engine(
    
            "mysql+pymysql://root:111111@127.0.0.1:3306/sqlarchemy01?charset=utf8",
            max_overflow=0,  # 超过连接池大小外最多创建的连接
            pool_size=5,  # 连接池大小
            pool_timeout=30,  # 池中没有线程最多等待的时间,否则报错
            pool_recycle=-1  # 多久之后对线程池中的线程进行一次连接的回收(重置)(-1代表一次也不回收)
        
        )
    
        Base.metadata.drop_all(engine)
    
    if __name__ == '__main__':
        create_table()
        # drop_all()
    创建单表
    #!/usr/bin/env python
    # -*- coding:utf-8 -*-
    import datetime
    from sqlalchemy import create_engine
    from sqlalchemy.ext.declarative import declarative_base
    from sqlalchemy import Column, Integer, String, Text, ForeignKey, DateTime, UniqueConstraint, Index
    from sqlalchemy.orm import relationship
    
    Base = declarative_base()
    
    
    # ##################### 单表示例 #########################
    class Users(Base):
        __tablename__ = 'users'
    
        id = Column(Integer, primary_key=True)
        name = Column(String(32), index=True)
        age = Column(Integer, default=18)
        email = Column(String(32), unique=True)
        ctime = Column(DateTime, default=datetime.datetime.now)
        extra = Column(Text, nullable=True)
    
        __table_args__ = (
            # UniqueConstraint('id', 'name', name='uix_id_name'),
            # Index('ix_id_name', 'name', 'extra'),
        )
    
    
    class Hosts(Base):
        __tablename__ = 'hosts'
    
        id = Column(Integer, primary_key=True)
        name = Column(String(32), index=True)
        ctime = Column(DateTime, default=datetime.datetime.now)
    
    
    # ##################### 一对多示例 #########################
    class Hobby(Base):
        __tablename__ = 'hobby'
        id = Column(Integer, primary_key=True)
        caption = Column(String(50), default='篮球')
    
    
    class Person(Base):
        __tablename__ = 'person'
        nid = Column(Integer, primary_key=True)
        name = Column(String(32), index=True, nullable=True)
        hobby_id = Column(Integer, ForeignKey("hobby.id"))
    
        # 与生成表结构无关,仅用于查询方便
        hobby = relationship("Hobby", backref='pers')
    
    
    # ##################### 多对多示例 #########################
    
    class Server2Group(Base):
        __tablename__ = 'server2group'
        id = Column(Integer, primary_key=True, autoincrement=True)
        server_id = Column(Integer, ForeignKey('server.id'))
        group_id = Column(Integer, ForeignKey('group.id'))
    
    
    class Group(Base):
        __tablename__ = 'group'
        id = Column(Integer, primary_key=True)
        name = Column(String(64), unique=True, nullable=False)
    
        # 与生成表结构无关,仅用于查询方便
        servers = relationship('Server', secondary='server2group', backref='groups')
    
    
    class Server(Base):
        __tablename__ = 'server'
    
        id = Column(Integer, primary_key=True, autoincrement=True)
        hostname = Column(String(64), unique=True, nullable=False)
    
    
    def init_db():
        """
        根据类创建数据库表
        :return: 
        """
        engine = create_engine(
            "mysql+pymysql://root:123@127.0.0.1:3306/s6?charset=utf8",
            max_overflow=0,  # 超过连接池大小外最多创建的连接
            pool_size=5,  # 连接池大小
            pool_timeout=30,  # 池中没有线程最多等待的时间,否则报错
            pool_recycle=-1  # 多久之后对线程池中的线程进行一次连接的回收(重置)
        )
    
        Base.metadata.create_all(engine)
    
    
    def drop_db():
        """
        根据类删除数据库表
        :return: 
        """
        engine = create_engine(
            "mysql+pymysql://root:123@127.0.0.1:3306/s6?charset=utf8",
            max_overflow=0,  # 超过连接池大小外最多创建的连接
            pool_size=5,  # 连接池大小
            pool_timeout=30,  # 池中没有线程最多等待的时间,否则报错
            pool_recycle=-1  # 多久之后对线程池中的线程进行一次连接的回收(重置)
        )
    
        Base.metadata.drop_all(engine)
    
    
    if __name__ == '__main__':
        drop_db()
        init_db()
    创建多个表并包含Fk、M2M关系

      操作数据库表

      增加:

    from sqlalchemy.orm import sessionmaker
    from sqlalchemy import create_engine
    
    
    from models import Users
    
    engine = create_engine("mysql+pymysql://root:111111@127.0.0.1:3306/sqlarchemy01?charset=utf8",
                           max_overflow=0,
                           pool_size=5,
                           pool_timeout=30,
                           pool_recycle=-1
                           )
    Session = sessionmaker(bind=engine)
    
    # 根据user类对user表进行增删改查
    # 每次执行数据库操作时,都需要创建一个session
    session = Session()
    
    # ############# 执行ORM操作 #############
    #1 增加
    ###单条记录
    # obj = Users(name='alex')
    # session.add(obj)
    # 提交事务
    # session.commit()
    # 关闭session
    # session.close()
    
    #######多条记录
    session.add_all([
         Users(name='amy'),
         Users(name='luoluo')
     ])
     session.commit()
    from sqlalchemy.orm import sessionmaker
    from sqlalchemy import create_engine
    
    
    from models import Users
    
    engine = create_engine("mysql+pymysql://root:111111@127.0.0.1:3306/sqlarchemy01?charset=utf8",
                           max_overflow=0,
                           pool_size=5,
                           pool_timeout=30,
                           pool_recycle=-1
                           )
    Session = sessionmaker(bind=engine)
    
    # 根据user类对user表进行增删改查
    # 每次执行数据库操作时,都需要创建一个session
    session = Session()
    
    # ############# 执行ORM操作 #############
    
    # 2 查
    result = session.query(Users).all()
    for row in result:
        print(row.id,row.name)
    
    # result = session.query(Users).filter(Users.id >=2)
    # for i in result:
    #     print(i.name)
    
    # 3 删
    # session.query(Users).filter(Users.id>2).delete()
    # session.commit()
    
    
    # 4 改
    # session.query(Users).filter(Users.id == 1).update({Users.name:'luo'})
    # session.commit()
    
    # session.query(Users).filter(Users.id == 2).update({Users.name:'amylee'+'ok'},synchronize_session=False)
    # session.commit()
    删改查
  • 相关阅读:
    正则表达式常用收集
    IIS 部署nodejs
    借助svn进行半自动多台服务器上线部署
    快速开发window服务器程序
    sql server 存储过程解密
    EF 剥坑
    测试常规需要测试的东西
    html5本次存储几种方式
    log4net 写日志配置
    js 获取定位信息
  • 原文地址:https://www.cnblogs.com/amyleell/p/9204627.html
Copyright © 2020-2023  润新知