本文实例讲述了Python使用sqlalchemy模块连接数据库操作。分享给大家供大家参考，具体如下：
安装：
pip install sqlalchemy # 安装数据库驱动： pip install pymysql pip install cx_oracle
举例：（在url后面加入"htmlcode">
from sqlalchemy import create_engine
engine=create_engine('mysql+pymysql://username:password@hostname:port/dbname', echo=True) #echo=True 打印sql语句信息
create_engine接受一个url，格式为：
# '数据库类型+数据库驱动名称://用户名:口令@机器地址:端口号/数据库名'
# 常用的
engine = create_engine('sqlite:///:memory:', echo=True) # sqlite内存
engine = create_engine('sqlite:///./cnblogblog.db',echo=True) # sqlite文件
engine = create_engine("mysql+pymysql://username:password@hostname:port/dbname",echo=True) # mysql+pymysql
engine = create_engine('mssql+pymssql://username:password@hostname:port/dbname',echo=True) # mssql+pymssql
engine = create_engine('postgresql://scott:tiger@hostname:5432/dbname') # postgresql示例
engine = create_engine('oracle://scott:tiger@hostname:1521/sidname') # oracle
engine = create_engine('oracle+cx_oracle://scott:tiger@tnsname') #pdb就可以用tns连接
简单demo：
from sqlalchemy import create_engine, Column, Integer, String
from sqlalchemy.orm import sessionmaker
from sqlalchemy.ext.declarative import declarative_base
engine = create_engine('oracle://spark:a@orclpdb',echo=True) #echo要求打印sql语句等调试信息
session_maker = sessionmaker(bind=engine)
session = session_maker()
Base = declarative_base()
#对应一张表
class Student(Base):
__tablename__ = 'STUDENT'
id = Column('STUID', Integer, primary_key=True)
name = Column('STUNAME', String(32), nullable=False)
age = Column('STUAGE', Integer)
def __repr__(self):
return '<Student(id:%s, name:%s, age:%s)>' % (self.id, self.name, self.age)
Base.metadata.create_all(engine) #若存在STUDENT表则不做，不存在则创建。
queryObject = session.query(Student).order_by(Student.id.desc())
for ins in queryObject:
print(ins.id, ins.name, ins.age)
'''
4 hey 24
3 lwtxxs 27
2 gyb 89
1 ns 23
'''
将查询结果映射为DataFrame：
import pandas as pd df = pd.read_sql(session.query(Student).filter(Student.id > 1).statement, engine) print(df) ''' STUID STUNAME STUAGE 0 4 hey 24 1 2 gyb 89 2 3 lwtxxs 27 '''
查询：
session的query方法除了可以接受Base子类对象作为参数外，还可以是字段，如：
query = session.query(Student.name, Student.age) # query为一个sqlalchemy.orm.query.Query对象 for stu_name, stu_age in query: print(stu_name, stu_age)
查询条件filter：
# = / like
query.filter(Student.name == 'wendy')
query.filter(Student.name.like('%ed%'))
# in
query.filter(Student.name.in_(['wendy', 'jack']))
query.filter(Student.name.in_(
session.query(User.name).filter(User.name.like('%ed%'))
))
# not in
query.filter(~Student.name.in_(['ed', 'wendy', 'jack']))
# is null / is not null
query.filter(Student.name == None)
query.filter(Student.name.is_(None))
query.filter(Student.name != None)
query.filter(Student.name.isnot(None))
# and
from sqlalchemy import and_, or_
query.filter(and_(Student.name == 'ed', Student.age != 23))
query.filter(Student.name == 'ed', Student.age != 23)
query.filter(Student.name == 'ed').filter(Student.age != 23)
# or
query.filter(or_(Student.name == 'ed', Student.name == 'wendy'))
# match
query.filter(Student.name.match('wendy'))
Query的方法：
all()方法以列表形式返回结果集：
from sqlalchemy import or_, and_
queryObject = session.query(Student).filter(or_(Student.id == 1, Student.id == 2))
print(queryObject.all()) # [<Student(id:1, name:ns, age:23)>, <Student(id:2, name:gyb, age:89)>]
queryObject = session.query(Student.name).filter(or_(Student.id == 1, Student.id == 2))
print(queryObject.all()) # [('ns',), ('gyb',)]
first()方法返回单个结果。（若结果集为空则返回None）
print(queryObject.first()) # ('ns',)
one()方法返回单个结果，与first()方法不同的是：当结果集中没有元素或有多于一个元素会抛出异常。
one_or_none()方法同one()一样，不同是结果集为空则返回None，为多个抛出异常。
查询数量：
from sqlalchemy import func
session.query(func.count(Student.id)).scalar() # SELECT count("STUDENT"."STUID") AS count_1 FROM "STUDENT"
分组：
session.query(func.count(Student.id), Student.name).group_by(Student.name).all()
嵌套SQL语句：
from sqlalchemy import text
query = session.query(Student.id, Student.name).filter(text('stuid>2'))
query = session.query('stuid', 'stuname', 'stuage').from_statement(text("select * from student where stuname=:stuname")).params(stuname='hey').all() #[(4, 'hey', 24)]
更多关于Python相关内容感兴趣的读者可查看本站专题：《Python常见数据库操作技巧汇总》、《Python数学运算技巧总结》、《Python数据结构与算法教程》、《Python函数使用技巧总结》、《Python字符串操作技巧汇总》、《Python入门与进阶经典教程》及《Python文件与目录操作技巧汇总》
希望本文所述对大家Python程序设计有所帮助。