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Python使用sqlalchemy模塊連接數(shù)據(jù)庫(kù)操作示例

2020-01-04 13:36:53
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本文實(shí)例講述了Python使用sqlalchemy模塊連接數(shù)據(jù)庫(kù)操作。分享給大家供大家參考,具體如下:

安裝:

pip install sqlalchemy# 安裝數(shù)據(jù)庫(kù)驅(qū)動(dòng):pip install pymysqlpip install cx_oracle

舉例:(在url后面加入?charset=utf8可以防止亂碼)

from sqlalchemy import create_engineengine=create_engine('mysql+pymysql://username:password@hostname:port/dbname', echo=True) #echo=True 打印sql語(yǔ)句信息

create_engine接受一個(gè)url,格式為:

# '數(shù)據(jù)庫(kù)類型+數(shù)據(jù)庫(kù)驅(qū)動(dòng)名稱://用戶名:口令@機(jī)器地址:端口號(hào)/數(shù)據(jù)庫(kù)名'# 常用的engine = create_engine('sqlite:///:memory:', echo=True)   # sqlite內(nèi)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+pymysqlengine = create_engine('mssql+pymssql://username:password@hostname:port/dbname',echo=True) # mssql+pymssqlengine = create_engine('postgresql://scott:tiger@hostname:5432/dbname') # postgresql示例engine = create_engine('oracle://scott:tiger@hostname:1521/sidname') # oracleengine = create_engine('oracle+cx_oracle://scott:tiger@tnsname') #pdb就可以用tns連接

簡(jiǎn)單demo:

from sqlalchemy import create_engine, Column, Integer, Stringfrom sqlalchemy.orm import sessionmakerfrom sqlalchemy.ext.declarative import declarative_base engine = create_engine('oracle://spark:a@orclpdb',echo=True) #echo要求打印sql語(yǔ)句等調(diào)試信息session_maker = sessionmaker(bind=engine)session = session_maker()Base = declarative_base()#對(duì)應(yīng)一張表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表則不做,不存在則創(chuàng)建。queryObject = session.query(Student).order_by(Student.id.desc())for ins in queryObject:  print(ins.id, ins.name, ins.age)'''4 hey 243 lwtxxs 272 gyb 891 ns 23'''

將查詢結(jié)果映射為DataFrame:

import pandas as pddf = pd.read_sql(session.query(Student).filter(Student.id > 1).statement, engine) print(df)'''  STUID STUNAME STUAGE0   4   hey   241   2   gyb   892   3 lwtxxs   27'''

查詢:

session的query方法除了可以接受Base子類對(duì)象作為參數(shù)外,還可以是字段,如:

query = session.query(Student.name, Student.age) # query為一個(gè)sqlalchemy.orm.query.Query對(duì)象for stu_name, stu_age in query:  print(stu_name, stu_age)

查詢條件filter:

# = / likequery.filter(Student.name == 'wendy')query.filter(Student.name.like('%ed%'))# inquery.filter(Student.name.in_(['wendy', 'jack']))query.filter(Student.name.in_(    session.query(User.name).filter(User.name.like('%ed%'))))# not inquery.filter(~Student.name.in_(['ed', 'wendy', 'jack']))# is null / is not nullquery.filter(Student.name == None)query.filter(Student.name.is_(None))query.filter(Student.name != None)query.filter(Student.name.isnot(None))# andfrom 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)# orquery.filter(or_(Student.name == 'ed', Student.name == 'wendy'))# matchquery.filter(Student.name.match('wendy'))

Query的方法:

all()方法以列表形式返回結(jié)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()方法返回單個(gè)結(jié)果。(若結(jié)果集為空則返回None)

print(queryObject.first())  # ('ns',)

one()方法返回單個(gè)結(jié)果,與first()方法不同的是:當(dāng)結(jié)果集中沒(méi)有元素或有多于一個(gè)元素會(huì)拋出異常。
one_or_none()方法同one()一樣,不同是結(jié)果集為空則返回None,為多個(gè)拋出異常。

查詢數(shù)量:

from sqlalchemy import funcsession.query(func.count(Student.id)).scalar() # SELECT count("STUDENT"."STUID") AS count_1 FROM "STUDENT"

分組:

session.query(func.count(Student.id), Student.name).group_by(Student.name).all()

嵌套SQL語(yǔ)句:

from sqlalchemy import textquery = 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)]

希望本文所述對(duì)大家Python程序設(shè)計(jì)有所幫助。


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