• Flask-SQLAlchemy


    一、介绍

    SQLAlchemy是一个基于Python实现的ORM框架。该框架建立在 DB API之上,使用关系对象映射进行数据库操作,简言之便是:将类和对象转换成SQL,然后使用数据API执行SQL并获取执行结果。

    pip3 install sqlalchemy
    

      

    组成部分:

    • Engine,框架的引擎
    • Connection Pooling ,数据库连接池
    • Dialect,选择连接数据库的DB API种类
    • Schema/Types,架构和类型
    • SQL Exprression Language,SQL表达式语言

    可以只使用上述部分(使用原生SQL语句),但是也实现了数据库连接池

    SQLAlchemy本身无法操作数据库,其必须以来pymsql等第三方插件,Dialect用于和数据API进行交流,根据配置文件的不同调用不同的数据库API,从而实现对数据库的操作,如:

    MySQL-Python
        mysql+mysqldb://<user>:<password>@<host>[:<port>]/<dbname>
        
    pymysql
        mysql+pymysql://<username>:<password>@<host>/<dbname>[?<options>]
        
    MySQL-Connector
        mysql+mysqlconnector://<user>:<password>@<host>[:<port>]/<dbname>
        
    cx_Oracle
        oracle+cx_oracle://user:pass@host:port/dbname[?key=value&key=value...]
        
    更多:http://docs.sqlalchemy.org/en/latest/dialects/index.html
    

      

    二、使用

    1、执行原生SQL语句

    import time
    import threading
    import sqlalchemy
    from sqlalchemy import create_engine
    from sqlalchemy.engine.base import Engine
     
    engine = create_engine(
        "mysql+pymysql://root:123@127.0.0.1:3306/t1?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)
    )
     
     
    def task(arg):
        conn = engine.raw_connection()
        cursor = conn.cursor()
        cursor.execute(
            "select * from t1"
        )
        result = cursor.fetchall()
        cursor.close()
        conn.close()
     
     
    for i in range(20):
        t = threading.Thread(target=task, args=(i,))
        t.start()
    

      

    #!/usr/bin/env python
    # -*- coding:utf-8 -*-
    import time
    import threading
    import sqlalchemy
    from sqlalchemy import create_engine
    from sqlalchemy.engine.base import Engine
    
    engine = create_engine("mysql+pymysql://root:123@127.0.0.1:3306/t1", max_overflow=0, pool_size=5)
    
    
    def task(arg):
        conn = engine.contextual_connect()
        with conn:
            cur = conn.execute(
                "select * from t1"
            )
            result = cur.fetchall()
            print(result)
    
    
    for i in range(20):
        t = threading.Thread(target=task, args=(i,))
        t.start()
    View Code
    #!/usr/bin/env python
    # -*- coding:utf-8 -*-
    import time
    import threading
    import sqlalchemy
    from sqlalchemy import create_engine
    from sqlalchemy.engine.base import Engine
    from sqlalchemy.engine.result import ResultProxy
    engine = create_engine("mysql+pymysql://root:123@127.0.0.1:3306/t1", max_overflow=0, pool_size=5)
    
    
    def task(arg):
        cur = engine.execute("select * from t1")
        result = cur.fetchall()
        cur.close()
        print(result)
    
    
    for i in range(20):
        t = threading.Thread(target=task, args=(i,))
        t.start()
    View Code

    2. ORM

    #!/usr/bin/env python
    # -*- coding:utf-8 -*-
    import time
    import threading
    
    from sqlalchemy.ext.declarative import declarative_base
    from sqlalchemy import Column, Integer, String, ForeignKey, UniqueConstraint, Index
    from sqlalchemy.orm import sessionmaker, relationship
    from sqlalchemy import create_engine
    from sqlalchemy.sql import text
    
    from db import Users, Hosts
    
    engine = create_engine("mysql+pymysql://root:123@127.0.0.1:3306/s6", max_overflow=0, pool_size=5)
    Session = sessionmaker(bind=engine)
    
    session = Session()
    
    # ################ 添加 ################
    """
    obj1 = Users(name="wupeiqi")
    session.add(obj1)
    
    session.add_all([
        Users(name="wupeiqi"),
        Users(name="alex"),
        Hosts(name="c1.com"),
    ])
    session.commit()
    """
    
    # ################ 删除 ################
    """
    session.query(Users).filter(Users.id > 2).delete()
    session.commit()
    """
    # ################ 修改 ################
    """
    session.query(Users).filter(Users.id > 0).update({"name" : "099"})
    session.query(Users).filter(Users.id > 0).update({Users.name: Users.name + "099"}, synchronize_session=False)
    session.query(Users).filter(Users.id > 0).update({"age": Users.age + 1}, synchronize_session="evaluate")
    session.commit()
    """
    # ################ 查询 ################
    """
    r1 = session.query(Users).all()
    r2 = session.query(Users.name.label('xx'), Users.age).all()
    r3 = session.query(Users).filter(Users.name == "alex").all()
    r4 = session.query(Users).filter_by(name='alex').all()
    r5 = session.query(Users).filter_by(name='alex').first()
    r6 = session.query(Users).filter(text("id<:value and name=:name")).params(value=224, name='fred').order_by(Users.id).all()
    r7 = session.query(Users).from_statement(text("SELECT * FROM users where name=:name")).params(name='ed').all()
    """
    
    
    session.close()
    
    基本增删改查示例
    基本增删改查示例
    # 条件
    ret = session.query(Users).filter_by(name='alex').all()
    ret = session.query(Users).filter(Users.id > 1, Users.name == 'eric').all()
    ret = session.query(Users).filter(Users.id.between(1, 3), Users.name == 'eric').all()
    ret = session.query(Users).filter(Users.id.in_([1,3,4])).all()
    ret = session.query(Users).filter(~Users.id.in_([1,3,4])).all()
    ret = session.query(Users).filter(Users.id.in_(session.query(Users.id).filter_by(name='eric'))).all()
    from sqlalchemy import and_, or_
    ret = session.query(Users).filter(and_(Users.id > 3, Users.name == 'eric')).all()
    ret = session.query(Users).filter(or_(Users.id < 2, Users.name == 'eric')).all()
    ret = session.query(Users).filter(
        or_(
            Users.id < 2,
            and_(Users.name == 'eric', Users.id > 3),
            Users.extra != ""
        )).all()
    
    
    # 通配符
    ret = session.query(Users).filter(Users.name.like('e%')).all()
    ret = session.query(Users).filter(~Users.name.like('e%')).all()
    
    # 限制
    ret = session.query(Users)[1:2]
    
    # 排序
    ret = session.query(Users).order_by(Users.name.desc()).all()
    ret = session.query(Users).order_by(Users.name.desc(), Users.id.asc()).all()
    
    # 分组
    from sqlalchemy.sql import func
    
    ret = session.query(Users).group_by(Users.extra).all()
    ret = session.query(
        func.max(Users.id),
        func.sum(Users.id),
        func.min(Users.id)).group_by(Users.name).all()
    
    ret = session.query(
        func.max(Users.id),
        func.sum(Users.id),
        func.min(Users.id)).group_by(Users.name).having(func.min(Users.id) >2).all()
    
    # 连表
    
    ret = session.query(Users, Favor).filter(Users.id == Favor.nid).all()
    
    ret = session.query(Person).join(Favor).all()
    
    ret = session.query(Person).join(Favor, isouter=True).all()
    
    
    # 组合
    q1 = session.query(Users.name).filter(Users.id > 2)
    q2 = session.query(Favor.caption).filter(Favor.nid < 2)
    ret = q1.union(q2).all()
    
    q1 = session.query(Users.name).filter(Users.id > 2)
    q2 = session.query(Favor.caption).filter(Favor.nid < 2)
    ret = q1.union_all(q2).all()
    
    常用操作
    常用操作
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  • 原文地址:https://www.cnblogs.com/Stay-J/p/8982438.html
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