flask sqlalchemy数据库查询操作(批量增删改)
封装sql提交和回滚class SQLAlchemy(_SQLAlchemy):@contextmanagerdef auto_commit(self):try:yieldself.session.commit()except Exception as e:self.session.rollback()raise ServerError()更新
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封装sql提交和回滚
class SQLAlchemy(_SQLAlchemy):
@contextmanager
def auto_commit(self):
try:
yield
self.session.commit()
except Exception as e:
self.session.rollback()
raise ServerError()
更新
with db.auto_commit():
word.count += 1
添加
with db.auto_commit():
word = HotWords()
word.sid = stock.id
db.session.add(word)
创建表与表关联(外键)
class Optional(Base):
__tablename__ = 'optional'
id = Column(Integer, primary_key=True)
uid = Column(Integer, ForeignKey('user.id'), nullable=False)
sid = Column(Integer, ForeignKey('stock.id'), nullable=False)
user = relationship('User')
stock = relationship('Stock')
实现三表查询
result = db.session.query(Optional.sid, Stock.name, Stock.ts_code, Stock.symbol)\
.join(User, Optional.uid == User.id)\
.join(Stock, Optional.sid == Stock.id).filter(User.openid == openid).all()
分组查询 / 排序查询
db.session.query(Stock.id, Stock.ts_code, Stock.symbol, Stock.name, Stock.area)\
.group_by(Stock.area).all()
db.session.query(Stock.id, Stock.ts_code, Stock.symbol, Stock.name, Stock.area)\
.order_by(Stock.area).all()
实现批量新增数据
插入数据不多时倒是可以通过循环解决,但是一旦数量多就很慢了
# db是sqlalchemy对象,ExamSchool是通过db.Modal创建的数据表,虽然也是循环新增,不过效率快多了
db.session.execute(
ExamSchool.__table__.insert(),
[{"eid": int(form.get('id')), "sid": int(i)} for i in new_schools]
)
实现批量更新数据
# 一种,ExamSchool与exam是一对多关系
db.session.query(ExamSchool).filter(ExamSchool.eid == exam.id). \
update({ExamSchool.status: 0}, synchronize_session=False)
# 第二种
from sqlalchemy import bindparam
update_data = [{'b_id': i, 'status': 0} for i in old_schools.values()]
stmt = ExamSchool.__table__.update().where(ExamSchool.id == bindparam('b_id')).values({ExamSchool.status: bindparam('status')})
db.session.execute(stmt, update_data)
实现批量删除数据
# 注意这是物理删除,不是逻辑删除
db.session.query(ExamSchool).filter(ExamSchool.eid == exam.id).delete()
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