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

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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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#!/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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