Python中sqlalchemy.dialects.mysql库中DOUBLE数据类型的查询技巧。
发布时间:2024-01-19 16:34:06
在SQLAlchemy中,MySQL的DOUBLE数据类型可以使用sqlalchemy.dialects.mysql.DOUBLE来表示。在查询中使用DOUBLE类型时,可以通过以下技巧进行操作:
1. 创建DOUBLE类型的列:
from sqlalchemy import Column, Integer, VARCHAR
from sqlalchemy.dialects.mysql import DOUBLE
from sqlalchemy.ext.declarative import declarative_base
Base = declarative_base()
class MyTable(Base):
__tablename__ = 'my_table'
id = Column(Integer, primary_key=True)
double_value = Column(DOUBLE)
varchar_value = Column(VARCHAR(255))
2. 查询DOUBLE类型的列:
from sqlalchemy import create_engine, select
from sqlalchemy.dialects.mysql import DOUBLE
engine = create_engine('mysql+mysqlconnector://<user>:<password>@localhost/<database>')
# 创建表的元数据
metadata = Base.metadata
metadata.create_all(engine)
# 创建会话
with engine.connect() as conn:
# 创建查询
stmt = select([MyTable.double_value])
# 执行查询
result = conn.execute(stmt)
# 获取结果
for row in result:
print(row.double_value)
3. 构建DOUBLE类型的条件查询:
from sqlalchemy import create_engine, select
from sqlalchemy.dialects.mysql import DOUBLE
engine = create_engine('mysql+mysqlconnector://<user>:<password>@localhost/<database>')
# 创建表的元数据
metadata = Base.metadata
metadata.create_all(engine)
# 创建会话
with engine.connect() as conn:
# 创建条件
condition = MyTable.double_value > 10.0
# 创建查询
stmt = select([MyTable.double_value]).where(condition)
# 执行查询
result = conn.execute(stmt)
# 获取结果
for row in result:
print(row.double_value)
4. 插入DOUBLE类型的数据:
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
engine = create_engine('mysql+mysqlconnector://<user>:<password>@localhost/<database>')
# 创建表的元数据
metadata = Base.metadata
metadata.create_all(engine)
# 创建会话
Session = sessionmaker(bind=engine)
session = Session()
# 插入数据
new_data = MyTable(double_value=10.5, varchar_value='example')
session.add(new_data)
session.commit()
需要注意的是,在MySQL数据库中,DOUBLE类型的精度是固定的,一般为15位小数。如果需要指定DOUBLE类型的精度,可以使用DECIMAL(precision, scale)类型来代替。
