SQLAlchemy常用总结

介绍SQLAlchemy一些常用的操作,以及在使用中遇见的一些问题。

操作表

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#!/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) #创建引擎,还可以加上echo=True,加上后会显示创建sql的命令

Base = declarative_base() #创建基类

# 创建单表
class Users(Base):
__tablename__ = 'users' #表名
id = Column(Integer, primary_key=True) #必须要有主键,且主键是自增的
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): #当执行查询的时候返回数据,而不是对象
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")) #建立外键
# 与生成表结构无关,仅用于查询方便
favor = relationship("Favor", backref='pers') #更方便查询,语句的意思是person关联Favor,反过来


# 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)


#创建session对象,实现增删改查
Session = sessionmaker(bind=engine)
session = Session()

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obj = Users(name="alex0", extra='sb')
session.add(obj)
session.add_all([
Users(name="alex1", extra='sb'),
Users(name="alex2", extra='sb'),
])
session.commit()

# 可以直接将数据封装为一个字典(字典的key要和数据库的列一致)然后直接放入插入就好
data = {'name':'alex0', 'extra':'sb'}
obj = Users(**data)

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session.query(Users).filter(Users.id > 2).delete()  #使用filter的条件是条件判断查询,例如里面是:user=='xxxx',id>5,age<20.filter_by使用的条件是键值对的查询,例如:name='xxxx',id=56

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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()

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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()

其他

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# 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()

插入字典

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session.add(Users(**data))
session.commit()

autoflush问题

出现autoflush问题(OperationalError: (raised as a result of Query-invoked autoflush; consider u……)
解决方法:在获取会话session的时候关闭autoflush
NoAutoFlushSession = sessionmaker(bind=engine, autoflush=False)
noautoflushsession = NoAutoFlushSession() # 会话