Flask使用SQLAlchemy鏈接mysql

表操做

models.py

from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import Column
from sqlalchemy import Integer,String,Text,Date,DateTime
from sqlalchemy import create_engine


Base = declarative_base()

class Users(Base):
    __tablename__ = 'users'

    id = Column(Integer, primary_key=True)
    name = Column(String(32), index=True, nullable=False)


def create_all():
    engine = create_engine(
        "mysql+pymysql://root:123456@127.0.0.1:3306/s9day120?charset=utf8",
        max_overflow=0,  # 超過鏈接池大小外最多建立的鏈接
        pool_size=5,  # 鏈接池大小
        pool_timeout=30,  # 池中沒有線程最多等待的時間,不然報錯
        pool_recycle=-1  # 多久以後對線程池中的線程進行一次鏈接的回收(重置)
    )

    Base.metadata.create_all(engine)

def drop_all():
    engine = create_engine(
        "mysql+pymysql://root:123456@127.0.0.1:3306/s9day120?charset=utf8",
        max_overflow=0,  # 超過鏈接池大小外最多建立的鏈接
        pool_size=5,  # 鏈接池大小
        pool_timeout=30,  # 池中沒有線程最多等待的時間,不然報錯
        pool_recycle=-1  # 多久以後對線程池中的線程進行一次鏈接的回收(重置)
    )
    Base.metadata.drop_all(engine)

if __name__ == '__main__':
    create_all()

views.py

from sqlalchemy.orm import sessionmaker
from sqlalchemy import create_engine
from models import Users

# 建立引擎
engine = create_engine(
        "mysql+pymysql://root:123456@127.0.0.1:3306/s9day120?charset=utf8",
        max_overflow=0,  # 超過鏈接池大小外最多建立的鏈接
        pool_size=5,  # 鏈接池大小
        pool_timeout=30,  # 池中沒有線程最多等待的時間,不然報錯
        pool_recycle=-1  # 多久以後對線程池中的線程進行一次鏈接的回收(重置)
    )

# 根據引擎建立session工廠
SessionFactory = sessionmaker(bind=engine)

# 用session工廠建立一個session對象
session = SessionFactory()

..........
# 根據Users類對users表進行增刪改查
..........

# 關閉session
session.close()

 行操做

obj = Users(name='alex')
session.add(obj)
session.commit()

session.add_all([
        Users(name='小東北'),
        Users(name='龍泰')
])
session.commit()

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

session.query(Users).filter(Users.id == 4).update({Users.name:'東北'})
session.query(Users).filter(Users.id == 4).update({'name':'小東北'})
session.query(Users).filter(Users.id == 4).update({'name':Users.name+"DSB"},synchronize_session=False)
session.commit()

result = session.query(Users).all()
for row in result:
        print(row.id,row.name)

result = session.query(Users).filter(Users.id >= 2)
for row in result:
        print(row.id,row.name)

result = session.query(Users).filter(Users.id >= 2).first()
print(result)

其餘經常使用操做

  1. 指定查詢列

    result = session.query(Users.id,Users.name.label('cname')).all()
    for item in result:
            print(item[0],item.id,item.cname)
  2. 多個查詢條件(默認and)

    session.query(Users).filter(Users.id > 1, Users.name == 'eric').all()
  3. between

    session.query(Users).filter(Users.id.between(1, 3), Users.name == 'eric').all()
  4. in

    session.query(Users).filter(Users.id.in_([1,3,4])).all()
    session.query(Users).filter(~Users.id.in_([1,3,4])).all() # 非
  5. 子查詢

    session.query(Users).filter(Users.id.in_(session.query(Users.id).filter(Users.name=='eric'))).all()
  6. and和or

    from sqlalchemy import and_, or_
    session.query(Users).filter(Users.id > 3, Users.name == 'eric').all()
    session.query(Users).filter(and_(Users.id > 3, Users.name == 'eric')).all()
    session.query(Users).filter(or_(Users.id < 2, Users.name == 'eric')).all()
    session.query(Users).filter(
        or_(
            Users.id < 2,
            and_(Users.name == 'eric', Users.id > 3),
            Users.extra != ""
        )).all()
  7. filter_by

    session.query(Users).filter_by(name='alex').all()
  8. 通配符

    ret = session.query(Users).filter(Users.name.like('e%')).all()
    ret = session.query(Users).filter(~Users.name.like('e%')).all()
  9. 切片

    result = session.query(Users)[1:2]
  10. 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()
  11. group by

    ret = session.query(
            Users.depart_id,
            func.count(Users.id),
    ).group_by(Users.depart_id).all()
    for item in ret:
            print(item)
    
    from sqlalchemy.sql import func
    
    ret = session.query(
            Users.depart_id,
            func.count(Users.id),
    ).group_by(Users.depart_id).having(func.count(Users.id) >= 2).all()
    for item in ret:
            print(item)
  12. union和union all

    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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