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sqlalchemy的使用

时间:2018-01-11 22:35:07      阅读:258      评论:0      收藏:0      [点我收藏+]

标签:join   range   stat   ima   size   where   连接池   eval   nmake   

技术分享图片
from sqlalchemy import Column, Integer, String, Text, ForeignKey, DateTime, UniqueConstraint, Index
from sqlalchemy.orm import relationship


Base = declarative_base()

###############单表创建####################


class Users(Base):
    __tablename__ = users  

    id = Column(Integer, primary_key=True)
    name = Column(String(32), index=True)
    age = Column(Integer, default=18)
    email = Column(String(32), unique=True)
    ctime = Column(DateTime, default=datetime.datetime.now)
    extra = Column(Text, nullable=True)

    __table_args__ = (
        UniqueConstraint(id, name, name=uix_id_name),
        Index(ix_id_name, name, extra),
    )


class Hosts(Base):
    __tablename__ = hosts

    id = Column(Integer, primary_key=True)
    name = Column(String(32), index=True)
    ctime = Column(DateTime, default=datetime.datetime.now)


##################一对多实例################

class Hobby(Base):
    __tablename__ = hobby
    id = Column(Integer, primary_key=True)
    caption = Column(String(50), default=篮球)


class Person(Base):
    __tablename__ = person
    nid = Column(Integer, primary_key=True)
    name = Column(String(32), index=True, nullable=True)
    hobby_id = Column(Integer, ForeignKey("hobby.id"))

    # 与生成表结构无关,仅用于查询方便
    hobby = relationship("Hobby", backref=pers)

################多对多实例#################

class Server2Group(Base):
    __tablename__ = server2group
    id = Column(Integer, primary_key=True, autoincrement=True)
    server_id = Column(Integer, ForeignKey(server.id))
    group_id = Column(Integer, ForeignKey(group.id))


class Group(Base):
    __tablename__ = group
    id = Column(Integer, primary_key=True)
    name = Column(String(64), unique=True, nullable=False)

    # 与生成表结构无关,仅用于查询方便
    servers = relationship(Server, secondary=server2group, backref=groups)


class Server(Base):
    __tablename__ = server

    id = Column(Integer, primary_key=True, autoincrement=True)
    hostname = Column(String(64), unique=True, nullable=False)





############执行创建####################


def init_db():
    """
    根据类创建数据库表
    :return: 
    """
    engine = create_engine(
        "mysql+pymysql://root:123@47.93.4.198:3306/s6?charset=utf8",
        max_overflow=0,  # 超过连接池大小外最多创建的连接
        pool_size=5,  # 连接池大小
        pool_timeout=30,  # 池中没有线程最多等待的时间,否则报错
        pool_recycle=-1  # 多久之后对线程池中的线程进行一次连接的回收(重置)
    )

    Base.metadata.create_all(engine)


def drop_db():
    """
    根据类删除数据库表
    :return: 
    """
    engine = create_engine(
        "mysql+pymysql://root:123@47.93.4.198:3306/s6?charset=utf8",
        max_overflow=0,  # 超过连接池大小外最多创建的连接
        pool_size=5,  # 连接池大小
        pool_timeout=30,  # 池中没有线程最多等待的时间,否则报错
        pool_recycle=-1  # 多久之后对线程池中的线程进行一次连接的回收(重置)
    )

    Base.metadata.drop_all(engine)


if __name__ == __main__:
    drop_db()
    init_db()
创建表
技术分享图片
from sqlalchemy.orm import sessionmaker
from sqlalchemy import create_engine
from models import Users,Person,Hobby

engine = create_engine(
        "mysql+pymysql://root:123@47.93.4.198:3306/s6?charset=utf8",
        max_overflow=0,  # 超过连接池大小外最多创建的连接
        pool_size=5,  # 连接池大小
        pool_timeout=30,  # 池中没有线程最多等待的时间,否则报错
        pool_recycle=-1  # 多久之后对线程池中的线程进行一次连接的回收(重置)
)
Session = sessionmaker(bind=engine)

# 每次执行数据库操作时,都需要创建一个session,申请一个连接
session = Session()



# ############# 执行ORM操作 #############
# obj1 = Users(name="alex1")
# obj2 = Users(name="alex2")
# session.add(obj1)
# session.add(obj2)

# session.add_all([
#         Users(name="alex3"),
#         Users(name="alex4")
# ])

# 提交事务
# session.commit()


# 关闭session
session.close()
操作数据库
技术分享图片
import time
import threading

from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import Column, Integer, String, ForeignKey, UniqueConstraint, Index
from sqlalchemy.orm import sessionmaker, relationship
from sqlalchemy import create_engine
from db import Users

engine = create_engine("mysql+pymysql://root:123@127.0.0.1:3306/s6", max_overflow=0, pool_size=5)
Session = sessionmaker(bind=engine)


def task(arg):
    session = Session()

    obj1 = Users(name="alex1")
    session.add(obj1)

    session.commit()


for i in range(10):
    t = threading.Thread(target=task, args=(i,))
    t.start()
多线程操作实例写函数
技术分享图片
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import Column, Integer, String, ForeignKey, UniqueConstraint, Index
from sqlalchemy.orm import sessionmaker, relationship
from sqlalchemy import create_engine
from sqlalchemy.sql import text

from db import Users, Hosts

engine = create_engine("mysql+pymysql://root:123@127.0.0.1:3306/s6", max_overflow=0, pool_size=5)
Session = sessionmaker(bind=engine)

session = Session()

# ################ 添加 ################
"""
obj1 = Users(name="wupeiqi")
session.add(obj1)

session.add_all([
    Users(name="wupeiqi"),
    Users(name="alex"),
    Hosts(name="c1.com"),
])
session.commit()
"""

# ################ 删除 ################
"""
session.query(Users).filter(Users.id > 2).delete()
session.commit()
"""
# ################ 修改 ################
"""
session.query(Users).filter(Users.id > 0).update({"name" : "099"})
session.query(Users).filter(Users.id > 0).update({Users.name: Users.name + "099"}, synchronize_session=False)
session.query(Users).filter(Users.id > 0).update({"age": Users.age + 1}, synchronize_session="evaluate")
session.commit()
"""
# ################ 查询 ################
"""
r1 = session.query(Users).all()
r2 = session.query(Users.name.label(‘xx‘), Users.age).all()
r3 = session.query(Users).filter(Users.name == "alex").all()
r4 = session.query(Users).filter_by(name=‘alex‘).all()
r5 = session.query(Users).filter_by(name=‘alex‘).first()
r6 = session.query(Users).filter(text("id<:value and name=:name")).params(value=224, name=‘fred‘).order_by(Users.id).all()
r7 = session.query(Users).from_statement(text("SELECT * FROM users where name=:name")).params(name=‘ed‘).all()
"""


session.close()
基本的增删改查
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# 条件
ret = session.query(Users).filter_by(name=alex).all()
ret = session.query(Users).filter(Users.id > 1, Users.name == eric).all()
ret = session.query(Users).filter(Users.id.between(1, 3), Users.name == eric).all()
ret = session.query(Users).filter(Users.id.in_([1,3,4])).all()
ret = session.query(Users).filter(~Users.id.in_([1,3,4])).all()
ret = session.query(Users).filter(Users.id.in_(session.query(Users.id).filter_by(name=eric))).all()
from sqlalchemy import and_, or_
ret = session.query(Users).filter(and_(Users.id > 3, Users.name == eric)).all()
ret = session.query(Users).filter(or_(Users.id < 2, Users.name == eric)).all()
ret = session.query(Users).filter(
    or_(
        Users.id < 2,
        and_(Users.name == eric, Users.id > 3),
        Users.extra != ""
    )).all()


# 通配符
ret = session.query(Users).filter(Users.name.like(e%)).all()
ret = session.query(Users).filter(~Users.name.like(e%)).all()

# 限制
ret = session.query(Users)[1:2]

# 排序
ret = session.query(Users).order_by(Users.name.desc()).all()
ret = session.query(Users).order_by(Users.name.desc(), Users.id.asc()).all()

# 分组
from sqlalchemy.sql import func

ret = session.query(Users).group_by(Users.extra).all()
ret = session.query(
    func.max(Users.id),
    func.sum(Users.id),
    func.min(Users.id)).group_by(Users.name).all()

ret = session.query(
    func.max(Users.id),
    func.sum(Users.id),
    func.min(Users.id)).group_by(Users.name).having(func.min(Users.id) >2).all()

# 连表

ret = session.query(Users, Favor).filter(Users.id == Favor.nid).all()

ret = session.query(Person).join(Favor).all()

ret = session.query(Person).join(Favor, isouter=True).all()


# 组合
q1 = session.query(Users.name).filter(Users.id > 2)
q2 = session.query(Favor.caption).filter(Favor.nid < 2)
ret = q1.union(q2).all()

q1 = session.query(Users.name).filter(Users.id > 2)
q2 = session.query(Favor.caption).filter(Favor.nid < 2)
ret = q1.union_all(q2).all()
常用操作
技术分享图片
import time
import threading

from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import Column, Integer, String, ForeignKey, UniqueConstraint, Index
from sqlalchemy.orm import sessionmaker, relationship
from sqlalchemy import create_engine
from sqlalchemy.sql import text
from sqlalchemy.engine.result import ResultProxy
from db import Users, Hosts, Hobby, Person

engine = create_engine("mysql+pymysql://root:123@127.0.0.1:3306/s6?charset=utf8", max_overflow=0, pool_size=5)
Session = sessionmaker(bind=engine)
session = Session()
# 添加
"""
session.add_all([
    Hobby(caption=‘乒乓球‘),
    Hobby(caption=‘羽毛球‘),
    Person(name=‘张三‘, hobby_id=3),
    Person(name=‘李四‘, hobby_id=4),
])

person = Person(name=‘张九‘, hobby=Hobby(caption=‘姑娘‘))
session.add(person)

hb = Hobby(caption=‘人妖‘)
hb.pers = [Person(name=‘文飞‘), Person(name=‘博雅‘)]
session.add(hb)

session.commit()
"""

# 使用relationship正向查询
"""
v = session.query(Person).first()
print(v.name)
print(v.hobby.caption)
"""

# 使用relationship反向查询
"""
v = session.query(Hobby).first()
print(v.caption)
print(v.pers)
"""

session.close()
基于relationship操作ForeignKey
技术分享图片
import threading

from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import Column, Integer, String, ForeignKey, UniqueConstraint, Index
from sqlalchemy.orm import sessionmaker, relationship
from sqlalchemy import create_engine
from sqlalchemy.sql import text
from sqlalchemy.engine.result import ResultProxy
from db import Users, Hosts, Hobby, Person, Group, Server, Server2Group

engine = create_engine("mysql+pymysql://root:123@127.0.0.1:3306/s6?charset=utf8", max_overflow=0, pool_size=5)
Session = sessionmaker(bind=engine)
session = Session()
# 添加
"""
session.add_all([
    Server(hostname=‘c1.com‘),
    Server(hostname=‘c2.com‘),
    Group(name=‘A组‘),
    Group(name=‘B组‘),
])
session.commit()

s2g = Server2Group(server_id=1, group_id=1)
session.add(s2g)
session.commit()


gp = Group(name=‘C组‘)
gp.servers = [Server(hostname=‘c3.com‘),Server(hostname=‘c4.com‘)]
session.add(gp)
session.commit()


ser = Server(hostname=‘c6.com‘)
ser.groups = [Group(name=‘F组‘),Group(name=‘G组‘)]
session.add(ser)
session.commit()
"""


# 使用relationship正向查询
"""
v = session.query(Group).first()
print(v.name)
print(v.servers)
"""

# 使用relationship反向查询
"""
v = session.query(Server).first()
print(v.hostname)
print(v.groups)
"""


session.close()
基于relationship操作m2m
技术分享图片
import threading

from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import Column, Integer, String, ForeignKey, UniqueConstraint, Index
from sqlalchemy.orm import sessionmaker, relationship
from sqlalchemy import create_engine
from sqlalchemy.sql import text, func
from sqlalchemy.engine.result import ResultProxy
from db import Users, Hosts, Hobby, Person, Group, Server, Server2Group

engine = create_engine("mysql+pymysql://root:123@127.0.0.1:3306/s6?charset=utf8", max_overflow=0, pool_size=5)
Session = sessionmaker(bind=engine)
session = Session()

# 关联子查询
subqry = session.query(func.count(Server.id).label("sid")).filter(Server.id == Group.id).correlate(Group).as_scalar()
result = session.query(Group.name, subqry)
"""
SELECT `group`.name AS group_name, (SELECT count(server.id) AS sid 
FROM server 
WHERE server.id = `group`.id) AS anon_1 
FROM `group`
"""


# 原生SQL
"""
# 查询
cursor = session.execute(‘select * from users‘)
result = cursor.fetchall()

# 添加
cursor = session.execute(‘insert into users(name) values(:value)‘,params={"value":‘wupeiqi‘})
session.commit()
print(cursor.lastrowid)
"""

session.close()
其他
技术分享图片
import threading

from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import Column, Integer, String, ForeignKey, UniqueConstraint, Index
from sqlalchemy.orm import sessionmaker, relationship
from sqlalchemy import create_engine
from sqlalchemy.sql import text
from sqlalchemy.engine.result import ResultProxy
from db import Users, Hosts

engine = create_engine("mysql+pymysql://root:123@127.0.0.1:3306/s6", max_overflow=0, pool_size=5)
Session = sessionmaker(bind=engine)

session = Session()

# 查询
# cursor = session.execute(‘select * from users‘)
# result = cursor.fetchall()

# 添加
cursor = session.execute(insert into users(name) values(:value),params={"value":wupeiqi})
session.commit()
print(cursor.lastrowid)

session.close()
原生SQL语句

 

sqlalchemy的使用

标签:join   range   stat   ima   size   where   连接池   eval   nmake   

原文地址:https://www.cnblogs.com/niehaidong111/p/8270405.html

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