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mysql数据库----python操作mysql ------pymysql和SQLAchemy
本篇对于Python操作MySQL主要使用两种方式:
- 原生模块 pymsql
- ORM框架 SQLAchemy
一、pymysql
pymsql是Python中操作MySQL的模块,其使用方法和MySQLdb几乎相同。
下载安装
pip3 install pymysql
使用操作
1、执行SQL
1 #!/usr/bin/env python 2 # -*- coding:utf-8 -*- 3 import pymysql 4 5 # 创建连接 6 conn = pymysql.connect(host=‘127.0.0.1‘, port=3306, user=‘root‘, passwd=‘123‘, db=‘t1‘) 7 # 创建游标 8 cursor = conn.cursor() 9 10 # 执行SQL,并返回收影响行数11 effect_row = cursor.execute("update hosts set host = ‘1.1.1.2‘")12 13 # 执行SQL,并返回受影响行数14 #effect_row = cursor.execute("update hosts set host = ‘1.1.1.2‘ where nid > %s", (1,))15 16 # 执行SQL,并返回受影响行数17 #effect_row = cursor.executemany("insert into hosts(host,color_id)values(%s,%s)", [("1.1.1.11",1),("1.1.1.11",2)])18 19 20 # 提交,不然无法保存新建或者修改的数据21 conn.commit()22 23 # 关闭游标24 cursor.close()25 # 关闭连接26 conn.close()
2、获取新创建数据自增ID
1 #!/usr/bin/env python 2 # -*- coding:utf-8 -*- 3 import pymysql 4 5 conn = pymysql.connect(host=‘127.0.0.1‘, port=3306, user=‘root‘, passwd=‘123‘, db=‘t1‘) 6 cursor = conn.cursor() 7 cursor.executemany("insert into hosts(host,color_id)values(%s,%s)", [("1.1.1.11",1),("1.1.1.11",2)]) 8 conn.commit() 9 cursor.close()10 conn.close()11 12 # 获取最新自增ID13 new_id = cursor.lastrowid
3、获取查询数据
1 #!/usr/bin/env python 2 # -*- coding:utf-8 -*- 3 import pymysql 4 5 conn = pymysql.connect(host=‘127.0.0.1‘, port=3306, user=‘root‘, passwd=‘123‘, db=‘t1‘) 6 cursor = conn.cursor() 7 cursor.execute("select * from hosts") 8 9 # 获取第一行数据10 row_1 = cursor.fetchone()11 12 # 获取前n行数据13 # row_2 = cursor.fetchmany(3)14 # 获取所有数据15 # row_3 = cursor.fetchall()16 17 conn.commit()18 cursor.close()19 conn.close()
注:在fetch数据时按照顺序进行,可以使用cursor.scroll(num,mode)来移动游标位置,如:
- cursor.scroll(1,mode=‘relative‘) # 相对当前位置移动
- cursor.scroll(2,mode=‘absolute‘) # 相对绝对位置移动
4、fetch数据类型
关于默认获取的数据是元祖类型,如果想要或者字典类型的数据,即:
1 #!/usr/bin/env python 2 # -*- coding:utf-8 -*- 3 import pymysql 4 5 conn = pymysql.connect(host=‘127.0.0.1‘, port=3306, user=‘root‘, passwd=‘123‘, db=‘t1‘) 6 7 # 游标设置为字典类型 8 cursor = conn.cursor(cursor=pymysql.cursors.DictCursor) 9 r = cursor.execute("call p1()")10 11 result = cursor.fetchone()12 13 conn.commit()14 cursor.close()15 conn.close()
1 作业: 2 参考表结构: 3 用户类型 4 5 用户信息 6 7 权限 8 9 用户类型&权限10 功能:11 12 # 登陆、注册、找回密码13 # 用户管理14 # 用户类型15 # 权限管理16 # 分配权限17 18 特别的:程序仅一个可执行文件
注意: (python代码操作数据库)
1 import pymysql 2 3 user = input("username:") 4 pwd = input("password:") 5 6 conn = pymysql.connect(host="localhost",user=‘root‘,password=‘‘,database="db666") 7 cursor = conn.cursor() 8 sql = "select * from userinfo where username=‘%s‘ and password=‘%s‘" %(user,pwd) #这段代码提到了注入问题,直接拼接会被他人任意登入,风险很大,所以不能这样写! 9 # select * from userinfo where username=‘uu‘ or 1=1 -- ‘ and password=‘%s‘ #这里就是利用了注入问题登入了数据库10 cursor.execute(sql)11 result = cursor.fetchone()12 cursor.close()13 conn.close()14 15 if result:16 print(‘登录成功‘)17 else:18 print(‘登录失败‘)
1 import pymysql 2 3 user = input("username:") 4 pwd = input("password:") 5 6 conn = pymysql.connect(host="localhost",user=‘root‘,password=‘‘,database="db666") 7 cursor = conn.cursor() 8 sql = "select * from userinfo where username=%s and password=%s" 9 cursor.execute(sql,user,pwd)10 # cursor.execute(sql,[user,pwd])11 # cursor.execute(sql,{‘u‘:user,‘p‘:pwd})12 result = cursor.fetchone()13 cursor.close()14 conn.close()15 if result:16 print(‘登录成功‘)17 else:18 print(‘登录失败‘)
二、SQLAchemy
SQLAlchemy是Python编程语言下的一款ORM框架,该框架建立在数据库API之上,使用关系对象映射进行数据库操作,简言之便是:将对象转换成SQL,然后使用数据API执行SQL并获取执行结果。
安装:
pip3 install SQLAlchemy
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:
1 MySQL-Python 2 mysql+mysqldb://<user>:<password>@<host>[:<port>]/<dbname> 3 4 pymysql 5 mysql+pymysql://<username>:<password>@<host>/<dbname>[?<options>] 6 7 MySQL-Connector 8 mysql+mysqlconnector://<user>:<password>@<host>[:<port>]/<dbname> 9 10 cx_Oracle11 oracle+cx_oracle://user:pass@host:port/dbname[?key=value&key=value...]12 13 更多详见:http://docs.sqlalchemy.org/en/latest/dialects/index.html
一、内部处理
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。
1 #!/usr/bin/env python 2 # -*- coding:utf-8 -*- 3 from sqlalchemy import create_engine 4 5 6 engine = create_engine("mysql+pymysql://root:123@127.0.0.1:3306/t1", max_overflow=5) 7 8 # 执行SQL 9 # cur = engine.execute(10 # "INSERT INTO hosts (host, color_id) VALUES (‘1.1.1.22‘, 3)"11 # )12 13 # 新插入行自增ID14 # cur.lastrowid15 16 # 执行SQL17 # cur = engine.execute(18 # "INSERT INTO hosts (host, color_id) VALUES(%s, %s)",[(‘1.1.1.22‘, 3),(‘1.1.1.221‘, 3),]19 # )20 21 22 # 执行SQL23 # cur = engine.execute(24 # "INSERT INTO hosts (host, color_id) VALUES (%(host)s, %(color_id)s)",25 # host=‘1.1.1.99‘, color_id=326 # )27 28 # 执行SQL29 # cur = engine.execute(‘select * from hosts‘)30 # 获取第一行数据31 # cur.fetchone()32 # 获取第n行数据33 # cur.fetchmany(3)34 # 获取所有数据35 # cur.fetchall()
二、ORM功能使用
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、创建表
1 #!/usr/bin/env python 2 # -*- coding:utf-8 -*- 3 from sqlalchemy.ext.declarative import declarative_base 4 from sqlalchemy import Column, Integer, String, ForeignKey, UniqueConstraint, Index 5 from sqlalchemy.orm import sessionmaker, relationship 6 from sqlalchemy import create_engine 7 8 engine = create_engine("mysql+pymysql://root:123@127.0.0.1:3306/t1", max_overflow=5) 9 10 Base = declarative_base()11 12 # 创建单表13 class Users(Base):14 __tablename__ = ‘users‘15 id = Column(Integer, primary_key=True)16 name = Column(String(32))17 extra = Column(String(16))18 19 __table_args__ = (20 UniqueConstraint(‘id‘, ‘name‘, name=‘uix_id_name‘),21 Index(‘ix_id_name‘, ‘name‘, ‘extra‘),22 )23 24 25 # 一对多26 class Favor(Base):27 __tablename__ = ‘favor‘28 nid = Column(Integer, primary_key=True)29 caption = Column(String(50), default=‘red‘, unique=True)30 31 32 class Person(Base):33 __tablename__ = ‘person‘34 nid = Column(Integer, primary_key=True)35 name = Column(String(32), index=True, nullable=True)36 favor_id = Column(Integer, ForeignKey("favor.nid"))37 38 39 # 多对多40 class Group(Base):41 __tablename__ = ‘group‘42 id = Column(Integer, primary_key=True)43 name = Column(String(64), unique=True, nullable=False)44 port = Column(Integer, default=22)45 46 47 class Server(Base):48 __tablename__ = ‘server‘49 50 id = Column(Integer, primary_key=True, autoincrement=True)51 hostname = Column(String(64), unique=True, nullable=False)52 53 54 class ServerToGroup(Base):55 __tablename__ = ‘servertogroup‘56 nid = Column(Integer, primary_key=True, autoincrement=True)57 server_id = Column(Integer, ForeignKey(‘server.id‘))58 group_id = Column(Integer, ForeignKey(‘group.id‘))59 60 61 def init_db():62 Base.metadata.create_all(engine)63 64 65 def drop_db():66 Base.metadata.drop_all(engine)
注:设置外检的另一种方式 ForeignKeyConstraint([‘other_id‘], [‘othertable.other_id‘])
2、操作表
1 #!/usr/bin/env python 2 # -*- coding:utf-8 -*- 3 from sqlalchemy.ext.declarative import declarative_base 4 from sqlalchemy import Column, Integer, String, ForeignKey, UniqueConstraint, Index 5 from sqlalchemy.orm import sessionmaker, relationship 6 from sqlalchemy import create_engine 7 8 engine = create_engine("mysql+pymysql://root:123@127.0.0.1:3306/t1", max_overflow=5) 9 10 Base = declarative_base()11 12 # 创建单表13 class Users(Base):14 __tablename__ = ‘users‘15 id = Column(Integer, primary_key=True)16 name = Column(String(32))17 extra = Column(String(16))18 19 __table_args__ = (20 UniqueConstraint(‘id‘, ‘name‘, name=‘uix_id_name‘),21 Index(‘ix_id_name‘, ‘name‘, ‘extra‘),22 )23 24 def __repr__(self):25 return "%s-%s" %(self.id, self.name)26 27 # 一对多28 class Favor(Base):29 __tablename__ = ‘favor‘30 nid = Column(Integer, primary_key=True)31 caption = Column(String(50), default=‘red‘, unique=True)32 33 def __repr__(self):34 return "%s-%s" %(self.nid, self.caption)35 36 class Person(Base):37 __tablename__ = ‘person‘38 nid = Column(Integer, primary_key=True)39 name = Column(String(32), index=True, nullable=True)40 favor_id = Column(Integer, ForeignKey("favor.nid"))41 # 与生成表结构无关,仅用于查询方便42 favor = relationship("Favor", backref=‘pers‘)43 44 # 多对多45 class ServerToGroup(Base):46 __tablename__ = ‘servertogroup‘47 nid = Column(Integer, primary_key=True, autoincrement=True)48 server_id = Column(Integer, ForeignKey(‘server.id‘))49 group_id = Column(Integer, ForeignKey(‘group.id‘))50 group = relationship("Group", backref=‘s2g‘)51 server = relationship("Server", backref=‘s2g‘)52 53 class Group(Base):54 __tablename__ = ‘group‘55 id = Column(Integer, primary_key=True)56 name = Column(String(64), unique=True, nullable=False)57 port = Column(Integer, default=22)58 # group = relationship(‘Group‘,secondary=ServerToGroup,backref=‘host_list‘)59 60 61 class Server(Base):62 __tablename__ = ‘server‘63 64 id = Column(Integer, primary_key=True, autoincrement=True)65 hostname = Column(String(64), unique=True, nullable=False)66 67 68 69 70 def init_db():71 Base.metadata.create_all(engine)72 73 74 def drop_db():75 Base.metadata.drop_all(engine)76 77 78 Session = sessionmaker(bind=engine)79 session = Session()80 81 表结构 + 数据库连接
增
1 obj = Users(name="alex0", extra=‘sb‘)2 session.add(obj)3 session.add_all([4 Users(name="alex1", extra=‘sb‘),5 Users(name="alex2", extra=‘sb‘),6 ])7 session.commit()
删
session.query(Users).filter(Users.id > 2).delete()session.commit()
改
session.query(Users).filter(Users.id > 2).update({"name" : "099"})session.query(Users).filter(Users.id > 2).update({Users.name: Users.name + "099"}, synchronize_session=False)session.query(Users).filter(Users.id > 2).update({"num": Users.num + 1}, synchronize_session="evaluate")session.commit()
查
ret = session.query(Users).all()ret = session.query(Users.name, Users.extra).all()ret = session.query(Users).filter_by(name=‘alex‘).all()ret = session.query(Users).filter_by(name=‘alex‘).first()
其他
1 # 条件 2 ret = session.query(Users).filter_by(name=‘alex‘).all() 3 ret = session.query(Users).filter(Users.id > 1, Users.name == ‘eric‘).all() 4 ret = session.query(Users).filter(Users.id.between(1, 3), Users.name == ‘eric‘).all() 5 ret = session.query(Users).filter(Users.id.in_([1,3,4])).all() 6 ret = session.query(Users).filter(~Users.id.in_([1,3,4])).all() 7 ret = session.query(Users).filter(Users.id.in_(session.query(Users.id).filter_by(name=‘eric‘))).all() 8 from sqlalchemy import and_, or_ 9 ret = session.query(Users).filter(and_(Users.id > 3, Users.name == ‘eric‘)).all()10 ret = session.query(Users).filter(or_(Users.id < 2, Users.name == ‘eric‘)).all()11 ret = session.query(Users).filter(12 or_(13 Users.id < 2,14 and_(Users.name == ‘eric‘, Users.id > 3),15 Users.extra != ""16 )).all()17 18 19 # 通配符20 ret = session.query(Users).filter(Users.name.like(‘e%‘)).all()21 ret = session.query(Users).filter(~Users.name.like(‘e%‘)).all()22 23 # 限制24 ret = session.query(Users)[1:2]25 26 # 排序27 ret = session.query(Users).order_by(Users.name.desc()).all()28 ret = session.query(Users).order_by(Users.name.desc(), Users.id.asc()).all()29 30 # 分组31 from sqlalchemy.sql import func32 33 ret = session.query(Users).group_by(Users.extra).all()34 ret = session.query(35 func.max(Users.id),36 func.sum(Users.id),37 func.min(Users.id)).group_by(Users.name).all()38 39 ret = session.query(40 func.max(Users.id),41 func.sum(Users.id),42 func.min(Users.id)).group_by(Users.name).having(func.min(Users.id) >2).all()43 44 # 连表45 46 ret = session.query(Users, Favor).filter(Users.id == Favor.nid).all()47 48 ret = session.query(Person).join(Favor).all()49 50 ret = session.query(Person).join(Favor, isouter=True).all()51 52 53 # 组合54 q1 = session.query(Users.name).filter(Users.id > 2)55 q2 = session.query(Favor.caption).filter(Favor.nid < 2)56 ret = q1.union(q2).all()57 58 q1 = session.query(Users.name).filter(Users.id > 2)59 q2 = session.query(Favor.caption).filter(Favor.nid < 2)60 ret = q1.union_all(q2).all()
更多功能参见文档,猛击这里下载PDF
mysql数据库----python操作mysql ------pymysql和SQLAchemy