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  • sqlalchemy-数据库操作

    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@xx.xx.xx.x: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@xx.xx.xx.x: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()

    链接测试↓

    import time
    import threading
    import sqlalchemy
    from sqlalchemy import create_engine
    from sqlalchemy.engine.base import Engine
    
    engine = create_engine(
        "mysql+pymysql://root:123@47.93.4.198:3306/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)
    )
    
    from sqlalchemy.pool import _ConnectionFairy
    def task(arg):
        conn = engine.raw_connection()
        print('你到了',conn.connection)
        cursor = conn.cursor()
        cursor.execute(
            "select * from users"
        )
        result = cursor.fetchall()
        import time
        time.sleep(5)
        cursor.close()
        conn.close()
    
    
    for i in range(20):
        t = threading.Thread(target=task, args=(i,))
        t.start()

    表操作:↓

    from sqlalchemy.orm import sessionmaker
    from sqlalchemy import create_engine
    from models import Users,Person,Hobby
    
    engine = create_engine(
            "mysql+pymysql://root:123@47.93.4.198:3306/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)
    )
    Session = sessionmaker(bind=engine)
    
    # 每次执行数据库操作时,都需要创建一个session,申请一个连接
    session = Session()
    
    # ############# 执行ORM操作 #############
    # obj1 = Users(name="alex1")
    # obj2 = Users(name="alex2")
    # session.add(obj1)
    # session.add(obj2)
    
    # session.add_all([
    #         Users(name="alex3"),
    #         Users(name="alex4")
    # ])
    
    # 提交事务
    # session.commit()
    
    from sqlalchemy import and_, or_
    ret = session.query(Person).join(Hobby,Person.hobby_id==Hobby.id,isouter=True)
    # ret = session.query(Person).join(Hobby,and_(Person.hobby_id==Hobby.id,Person.id >2),isouter=True)
    print(ret)
    
    
    # 关闭session
    session.close()
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  • 原文地址:https://www.cnblogs.com/52-qq/p/8268816.html
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