ORM之SQLALchemy
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
pymsql
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 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 | import pymysql # 创建连接 conn = pymysql.connect(host = '127.0.0.1' , port = 3306 , user = 'root' , passwd = '123' , db = 't1' ) # 创建游标 cursor = conn.cursor() # 执行SQL,并返回收影响行数 effect_row = cursor.execute( "update hosts set host = '1.1.1.2'" ) # 执行SQL,并返回受影响行数 #effect_row = cursor.execute("update hosts set host = '1.1.1.2' where nid > %s", (1,)) # 执行SQL,并返回受影响行数 #effect_row = cursor.executemany("insert into hosts(host,color_id)values(%s,%s)", [("1.1.1.11",1),("1.1.1.11",2)]) # 提交,不然无法保存新建或者修改的数据 conn.commit() # 关闭游标 cursor.close() # 关闭连接 conn.close() |
2、获取新创建数据自增ID
1 2 3 4 5 6 7 8 9 10 11 | import pymysql conn = pymysql.connect(host = '127.0.0.1' , port = 3306 , user = 'root' , passwd = '123' , db = 't1' ) cursor = conn.cursor() cursor.executemany( "insert into hosts(host,color_id)values(%s,%s)" , [( "1.1.1.11" , 1 ),( "1.1.1.11" , 2 )]) conn.commit() cursor.close() conn.close() # 获取最新自增ID new_id = cursor.lastrowid |
3、获取查询数据
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | import pymysql conn = pymysql.connect(host = '127.0.0.1' , port = 3306 , user = 'root' , passwd = '123' , db = 't1' ) cursor = conn.cursor() cursor.execute( "select * from hosts" ) # 获取第一行数据 row_1 = cursor.fetchone() # 获取前n行数据 # row_2 = cursor.fetchmany(3) # 获取所有数据 # row_3 = cursor.fetchall() conn.commit() cursor.close() 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 2 3 4 5 6 7 8 9 10 11 12 13 | import pymysql conn = pymysql.connect(host = '127.0.0.1' , port = 3306 , user = 'root' , passwd = '123' , db = 't1' ) # 游标设置为字典类型 cursor = conn.cursor(cursor = pymysql.cursors.DictCursor) r = cursor.execute( "call p1()" ) result = cursor.fetchone() conn.commit() cursor.close() conn.close() |
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 2 3 4 5 6 7 8 9 10 11 12 13 | 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 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 | from sqlalchemy import create_engine engine = create_engine( "mysql+pymysql://root:123@127.0.0.1:3306/t1" , max_overflow = 5 ) # 执行SQL # cur = engine.execute( # "INSERT INTO hosts (host, color_id) VALUES ('1.1.1.22', 3)" # ) # 新插入行自增ID # cur.lastrowid # 执行SQL # cur = engine.execute( # "INSERT INTO hosts (host, color_id) VALUES(%s, %s)",[('1.1.1.22', 3),('1.1.1.221', 3),] # ) # 执行SQL # cur = engine.execute( # "INSERT INTO hosts (host, color_id) VALUES (%(host)s, %(color_id)s)", # host='1.1.1.99', color_id=3 # ) # 执行SQL # cur = engine.execute('select * from hosts') # 获取第一行数据 # cur.fetchone() # 获取第n行数据 # cur.fetchmany(3) # 获取所有数据 # 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

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 engine = create_engine("mysql+pymysql://root:123@127.0.0.1:3306/t1", max_overflow=5) Base = declarative_base() # 创建单表 class Users(Base): __tablename__ = 'users' id = Column(Integer, primary_key=True) name = Column(String(32)) extra = Column(String(16)) __table_args__ = ( UniqueConstraint('id', 'name', name='uix_id_name'), Index('ix_id_name', 'name', 'extra'), ) # 一对多 class Favor(Base): __tablename__ = 'favor' nid = Column(Integer, primary_key=True) caption = Column(String(50), default='red', unique=True) class Person(Base): __tablename__ = 'person' nid = Column(Integer, primary_key=True) name = Column(String(32), index=True, nullable=True) favor_id = Column(Integer, ForeignKey("favor.nid")) # 多对多 class Group(Base): __tablename__ = 'group' id = Column(Integer, primary_key=True) name = Column(String(64), unique=True, nullable=False) port = Column(Integer, default=22) class Server(Base): __tablename__ = 'server' id = Column(Integer, primary_key=True, autoincrement=True) hostname = Column(String(64), unique=True, nullable=False) class ServerToGroup(Base): __tablename__ = 'servertogroup' nid = Column(Integer, primary_key=True, autoincrement=True) server_id = Column(Integer, ForeignKey('server.id')) group_id = Column(Integer, ForeignKey('group.id')) def init_db(): Base.metadata.create_all(engine) def drop_db(): Base.metadata.drop_all(engine)
注:设置外键的另一种方式 ForeignKeyConstraint(['other_id'], ['othertable.other_id'])
2、操作表

#!/usr/bin/env python # -*- coding:utf-8 -*- 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 engine = create_engine("mysql+pymysql://root:123@127.0.0.1:3306/t1", max_overflow=5) Base = declarative_base() # 创建单表 class Users(Base): __tablename__ = 'users' id = Column(Integer, primary_key=True) name = Column(String(32)) extra = Column(String(16)) __table_args__ = ( UniqueConstraint('id', 'name', name='uix_id_name'), Index('ix_id_name', 'name', 'extra'), ) def __repr__(self): return "%s-%s" %(self.id, self.name) # 一对多 class Favor(Base): __tablename__ = 'favor' nid = Column(Integer, primary_key=True) caption = Column(String(50), default='red', unique=True) def __repr__(self): return "%s-%s" %(self.nid, self.caption) class Person(Base): __tablename__ = 'person' nid = Column(Integer, primary_key=True) name = Column(String(32), index=True, nullable=True) favor_id = Column(Integer, ForeignKey("favor.nid")) # 与生成表结构无关,仅用于查询方便 favor = relationship("Favor", backref='pers') # 多对多 class ServerToGroup(Base): __tablename__ = 'servertogroup' nid = Column(Integer, primary_key=True, autoincrement=True) server_id = Column(Integer, ForeignKey('server.id')) group_id = Column(Integer, ForeignKey('group.id')) group = relationship("Group", backref='s2g') server = relationship("Server", backref='s2g') class Group(Base): __tablename__ = 'group' id = Column(Integer, primary_key=True) name = Column(String(64), unique=True, nullable=False) port = Column(Integer, default=22) # group = relationship('Group',secondary=ServerToGroup,backref='host_list') class Server(Base): __tablename__ = 'server' id = Column(Integer, primary_key=True, autoincrement=True) hostname = Column(String(64), unique=True, nullable=False) def init_db(): Base.metadata.create_all(engine) def drop_db(): Base.metadata.drop_all(engine) Session = sessionmaker(bind=engine) session = Session()
增:

obj = Users(name="alex0", extra='sb') session.add(obj) session.add_all([ Users(name="alex1", extra='sb'), Users(name="alex2", extra='sb'), ]) session.commit()
删:
1 2 | session.query(Users). filter (Users. id > 2 ).delete() session.commit() |
改:
1 2 3 4 | 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() ret = session.query(Users).filter(text("id<:value and name=:name")).params(value=224, name='fred').order_by(User.id).all() ret = session.query(Users).from_statement(text("SELECT * FROM users where name=:name")).params(name='ed').all()
其它:
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 60 | # 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 () |
分类:
python
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