Python操作MySQL

 

文章出处      https://www.cnblogs.com/wupeiqi/articles/5713330.html

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

#!/usr/bin/env python
# -*- coding:utf-8 -*-
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

#!/usr/bin/env python
# -*- coding:utf-8 -*-
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

#!/usr/bin/env python
# -*- coding:utf-8 -*-
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：

#!/usr/bin/env python
# -*- coding:utf-8 -*-
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 ()

    作业：
        参考表结构：
            用户类型

            用户信息

            权限

            用户类型&权限
        功能：

            # 登陆、注册、找回密码
            # 用户管理
            # 用户类型
            # 权限管理
            # 分配权限

        特别的：程序仅一个可执行文件

练习题

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：

MySQL-Python
    mysql+mysqldb://< user >:< password >@[:]/

pymysql
    mysql+pymysql://:< password >@/[?]

MySQL-Connector
    mysql+mysqlconnector://< user >:< password >@[:]/

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。

#!/usr/bin/env python
# -*- coding:utf-8 -*-
from sqlalchemy import create_engine


engine = create_engine( "mysql+pymysql://root:[email protected]: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

#!/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:[email protected]: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：设置外检的另一种方式 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:[email protected]: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()

表结构 + 数据库连接

• 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()

  View Code
• 删
  
  

  session.query(Users).filter(Users.id > 2).delete()
  session.commit()

  View Code
• 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()

  View Code
• 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()

  View Code
• 其他
  
  

  #　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()

  View Code

更多功能参见文档，猛击这里下载PDF

 

转载于:https://www.cnblogs.com/AbnerLc/p/11619381.html