MySQL— pymysql and SQLAlchemy

目錄

一、pymysql

二、SQLAlchemy

一、pymysql

pymsql是Python中操作MySQL的模塊,其使用方法和MySQLdb幾乎相同。

1. 下載安裝

#在終端直接運行  pip3 install pymysql

2. 使用操作

a. 執(zhí)行SQL

#!/usr/bin/env python# -*- coding:utf-8 -*-import pymysql    # 創(chuàng)建連接conn = pymysql.connect(host='127.0.0.1', port=3306, user='root', passwd='123', db='t1')# 創(chuàng)建游標cursor = conn.cursor()    # 執(zhí)行SQL,并返回受影響行數(shù)effect_row = cursor.execute("update hosts set host = '1.1.1.2'")    # 執(zhí)行SQL,并返回受影響行數(shù)#effect_row = cursor.execute("update hosts set host = '1.1.1.2' where nid > %s", (1,))  # 執(zhí)行SQL,并返回受影響行數(shù)#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,不然無法保存新建或者修改的數(shù)據(jù)conn.commit()    # 關閉游標cursor.close()# 關閉連接conn.close()

b. 獲取新創(chuàng)建數(shù)據(jù)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()# 獲取最新自增IDnew_id = cursor.lastrowid    cursor.close()  conn.close()

c. 獲取查詢數(shù)據(jù)

#!/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")    # 獲取第一行數(shù)據(jù)row_1 = cursor.fetchone()    # 獲取前n行數(shù)據(jù)# row_2 = cursor.fetchmany(3)# 獲取所有數(shù)據(jù)# row_3 = cursor.fetchall()    conn.commit()  cursor.close()  conn.close()

注:在fetch數(shù)據(jù)時按照順序進行,可以使用cursor.scroll(num,mode)來移動游標位置,如:

  • cursor.scroll(1,mode=’relative’) ?   # 相對當前位置移動

  • cursor.scroll(2,mode=’absolute’)   # 相對絕對位置移動

d. fetch數(shù)據(jù)類型

關于默認獲取的數(shù)據(jù)是元組類型,如果想要獲得字典類型的數(shù)據(jù),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')    # 游標設置為字典類型cursor = conn.cursor(cursor=pymysql.cursors.DictCursor)  r = cursor.execute("call p1()")      result = cursor.fetchone()      conn.commit()  cursor.close()  conn.close()

二、SQLAlchemy

SQLAlchemy是Python編程語言下的一款ORM框架,該框架建立在數(shù)據(jù)庫API之上,使用關系對象映射進行數(shù)據(jù)庫操作,簡言之便是:將對象轉(zhuǎn)換成SQL,然后使用數(shù)據(jù)API執(zhí)行SQL并獲取執(zhí)行結果。

1. 下載安裝

#在終端直接運行pip3 install SQLAlchemy

2. SQLAlchemy依賴關系

SQLAlchemy本身無法操作數(shù)據(jù)庫,其必須依賴pymsql等第三方插件,Dialect用于和數(shù)據(jù)API進行交流,根據(jù)配置文件的不同調(diào)用不同的數(shù)據(jù)庫API,從而實現(xiàn)對數(shù)據(jù)庫的操作。
MySQL— pymysql and SQLAlchemy

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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...]
更多詳見:index.html

3. ORM功能使用

使用 ORM/Schema Type/SQL Expression Language/Engine/ConnectionPooling/Dialect 所有組件對數(shù)據(jù)進行操作。根據(jù)類創(chuàng)建對象,對象轉(zhuǎn)換成SQL,執(zhí)行SQL。
a. 創(chuàng)建表
#!/usr/bin/env python# -*- coding:utf-8 -*-from sqlalchemy.ext.declarative import declarative_basefrom sqlalchemy import Column, Integer, String, ForeignKey, UniqueConstraint, Indexfrom sqlalchemy.orm import sessionmaker, relationshipfrom sqlalchemy import create_engine#表明依賴關系并創(chuàng)建連接,最大連接數(shù)為5 engine = create_engine("mysql+pymysql://root:123@127.0.0.1:3306/t1", max_overflow=5)     Base = declarative_base()   # 創(chuàng)建單表class Users(Base):      __tablename__ = 'users'    # 表名    id = Column(Integer, primary_key=True,autoincrement=True)    # id列,主鍵自增    name = Column(String(32))    # name列    extra = Column(String(16))    # extra列       __table_args__ = (      UniqueConstraint('id', 'name', name='uix_id_name'),    # 創(chuàng)建聯(lián)合唯一索引        Index('ix_id_name', 'name', 'extra'),    # 創(chuàng)建普通索引    )      # 一對多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"))    # 創(chuàng)建外鍵    # 多對多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'))    # 創(chuàng)建外鍵    group_id = Column(Integer, ForeignKey('group.id'))    # 創(chuàng)建外鍵    def init_db():      Base.metadata.create_all(engine)      def drop_db():      Base.metadata.drop_all(engine)

注:設置外鍵的另一種方式 ForeignKeyConstraint([‘other_id’], [‘othertable.other_id’])

b. 操作表
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MySQL— pymysql and SQLAlchemyMySQL— pymysql and SQLAlchemy

#!/usr/bin/env python# -*- coding:utf-8 -*-from sqlalchemy.ext.declarative import declarative_basefrom sqlalchemy import Column, Integer, String, ForeignKey, UniqueConstraint, Indexfrom sqlalchemy.orm import sessionmaker, relationshipfrom sqlalchemy import create_engine    engine = create_engine("mysql+pymysql://root:123@127.0.0.1:3306/t1", max_overflow=5)    Base = declarative_base()# 創(chuàng)建單表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)# 一對多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"))# 與生成表結構無關,僅用于查詢方便favor = relationship("Favor", backref='pers')# 多對多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()

表結構 + 數(shù)據(jù)庫連接

b.1 增

#單條增加obj = Users(name="alex0", extra='sb')  session.add(obj)#多條增加session.add_all([      Users(name="alex1", extra='sb'),      Users(name="alex2", extra='sb'),  ])#提交session.commit()

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b.2 刪

#先查詢到要刪除的記錄,再deletesession.query(Users).filter(Users.id > 2).delete()  session.commit()

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b.3 改

#先查詢,再更新session.query(Users).filter(Users.id > 2).update({"name" : "099"})    # 直接更改session.query(Users).filter(Users.id > 2).update({Users.name: Users.name + "099"}, synchronize_session=False)    # 字符串拼接session.query(Users).filter(Users.id > 2).update({"num": Users.num + 1}, synchronize_session="evaluate")    # 數(shù)字相加session.commit()

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b.4 查

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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()

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b.5?其它

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# 條件ret = session.query(Users).filter_by(name='alex').all()    # 條件內(nèi)為關鍵字表達式ret = session.query(Users).filter(Users.id > 1, Users.name == 'eric').all()    # 條件內(nèi)為SQL表達式ret = session.query(Users).filter(Users.id.between(1, 3), Users.name == 'eric').all()    # betweenret = session.query(Users).filter(Users.id.in_([1,3,4])).all()    # inret = session.query(Users).filter(~Users.id.in_([1,3,4])).all()    # not inret = session.query(Users).filter(Users.id.in_(session.query(Users.id).filter_by(name='eric'))).all()    # 子查詢條件from sqlalchemy import and_, or_  ret = session.query(Users).filter(and_(Users.id > 3, Users.name == 'eric')).all()    # andret = session.query(Users).filter(or_(Users.id < 2, Users.name == 'eric')).all()    # orret = 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()    # e開頭ret = session.query(Users).filter(~Users.name.like('e%')).all()    # 非e開頭# 限制ret = session.query(Users)[1:2]    # 相當于limit# 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()# 分組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()# 連表ret = session.query(Users, Favor).filter(Users.id == Favor.nid).all()    # 笛卡兒積連表ret = session.query(Person).join(Favor).all()    # 默認內(nèi)連 inner joinret = session.query(Person).join(Favor, isouter=True).all()    # 左連# 組合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()

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參考資料:

1.?Python開發(fā)【第十九篇】:Python操作MySQL

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