如何在Python中使用sqlalchemy模块连接数据库-创新互联
今天就跟大家聊聊有关如何在Python中使用sqlalchemy模块连接数据库,可能很多人都不太了解,为了让大家更加了解,小编给大家总结了以下内容,希望大家根据这篇文章可以有所收获。
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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?charset=utf8可以防止乱码)
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 '' % (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()) # [, ] 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)]
看完上述内容,你们对如何在Python中使用sqlalchemy模块连接数据库有进一步的了解吗?如果还想了解更多知识或者相关内容,请关注创新互联行业资讯频道,感谢大家的支持。
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