flask-sqlalchemy
Posted 潘红伟
tags:
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SQLAlchemy
一. 介绍
SQLAlchemy是一个基于Python实现的ORM框架。该框架建立在 DB API之上,使用关系对象映射进行数据库操作,简言之便是:将类和对象转换成SQL,然后使用数据API执行SQL并获取执行结果。
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pip3 install sqlalchemy |
组成部分:
- Engine,框架的引擎
- Connection Pooling ,数据库连接池
- Dialect,选择连接数据库的DB API种类
- Schema/Types,架构和类型
- SQL Exprression Language,SQL表达式语言
SQLAlchemy本身无法操作数据库,其必须以来pymsql等第三方插件,Dialect用于和数据API进行交流,根据配置文件的不同调用不同的数据库API,从而实现对数据库的操作,如:
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mysql + mysqldb: / / <user>:<password>@<host>[:<port>] / <dbname> pymysql mysql + pymysql: / / <username>:<password>@<host> / <dbname>[?<options>] MySQL - Connector mysql + mysqlconnector: / / <user>:<password>@<host>[:<port>] / <dbname> cx_Oracle oracle + cx_oracle: / / user: pass @host:port / dbname[?key = value&key = value...] |
二. 使用
1. 执行原生SQL语句
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import time import threading import sqlalchemy from sqlalchemy import create_engine from sqlalchemy.engine.base import Engine engine = create_engine( "mysql+pymysql://root:123@127.0.0.1:3306/t1?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) ) def task(arg): conn = engine.raw_connection() cursor = conn.cursor() cursor.execute( "select * from t1" ) result = cursor.fetchall() cursor.close() conn.close() for i in range ( 20 ): t = threading.Thread(target = task, args = (i,)) t.start() |
#!/usr/bin/env python
# -*- coding:utf-8 -*-
import time
import threading
import sqlalchemy
from sqlalchemy import create_engine
from sqlalchemy.engine.base import Engine
engine = create_engine("mysql+pymysql://root:123@127.0.0.1:3306/t1", max_overflow=0, pool_size=5)
def task(arg):
conn = engine.contextual_connect()
with conn:
cur = conn.execute(
"select * from t1"
)
result = cur.fetchall()
print(result)
for i in range(20):
t = threading.Thread(target=task, args=(i,))
t.start()
#!/usr/bin/env python
# -*- coding:utf-8 -*-
import time
import threading
import sqlalchemy
from sqlalchemy import create_engine
from sqlalchemy.engine.base import Engine
from sqlalchemy.engine.result import ResultProxy
engine = create_engine("mysql+pymysql://root:123@127.0.0.1:3306/t1", max_overflow=0, pool_size=5)
def task(arg):
cur = engine.execute("select * from t1")
result = cur.fetchall()
cur.close()
print(result)
for i in range(20):
t = threading.Thread(target=task, args=(i,))
t.start()
注意: 查看连接 show status like \'Threads%\';
2. ORM
a. 创建数据库表
#!/usr/bin/env python
# -*- coding:utf-8 -*-
import datetime
from sqlalchemy import create_engine
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import Column, Integer, String, Text, ForeignKey, DateTime, UniqueConstraint, Index
Base = declarative_base()
class Users(Base):
__tablename__ = \'users\'
id = Column(Integer, primary_key=True)
name = Column(String(32), index=True, nullable=False)
# 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\', \'email\'),
)
def init_db():
"""
根据类创建数据库表
:return:
"""
engine = create_engine(
"mysql+pymysql://root:123@127.0.0.1:3306/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@127.0.0.1:3306/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()
#!/usr/bin/env python
# -*- coding:utf-8 -*-
import datetime
from sqlalchemy import create_engine
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import Column, Integer, String, Text, ForeignKey, DateTime, UniqueConstraint, Index
from sqlalchemy.orm import relationship
Base = declarative_base()
# ##################### 单表示例 #########################
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)
# ##################### 一对多示例 #########################
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\')
# ##################### 多对多示例 #########################
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)
def init_db():
"""
根据类创建数据库表
:return:
"""
engine = create_engine(
"mysql+pymysql://root:123@127.0.0.1:3306/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@127.0.0.1:3306/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()
指定关联列:hobby = relationship("Hobby", backref=\'pers\',foreign_keys="Person.hobby_id")
b. 操作数据库表
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#!/usr/bin/env python # -*- coding:utf-8 -*- from sqlalchemy.orm import sessionmaker from sqlalchemy import create_engine from models 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) # 每次执行数据库操作时,都需要创建一个session session = Session() # ############# 执行ORM操作 ############# obj1 = Users(name = "alex1" ) session.add(obj1) # 提交事务 session.commit() # 关闭session session.close() |
#!/usr/bin/env python
# -*- coding:utf-8 -*-
from sqlalchemy.orm import sessionmaker
from sqlalchemy import create_engine
from sqlalchemy.orm import scoped_session
from models 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)
"""
# 线程安全,基于本地线程实现每个线程用同一个session
# 特殊的:scoped_session中有原来方法的Session中的一下方法:
public_methods = (
\'__contains__\', \'__iter__\', \'add\', \'add_all\', \'begin\', \'begin_nested\',
\'close\', \'commit\', \'connection\', \'delete\', \'execute\', \'expire\',
\'expire_all\', \'expunge\', \'expunge_all\', \'flush\', \'get_bind\',
\'is_modified\', \'bulk_save_objects\', \'bulk_insert_mappings\',
\'bulk_update_mappings\',
\'merge\', \'query\', \'refresh\', \'rollback\',
\'scalar\'
)
"""
session = scoped_session(Session)
# ############# 执行ORM操作 #############
obj1 = Users(name="alex1")
session.add(obj1)
# 提交事务
session.commit()
# 关闭session
session.close()
#!/usr/bin/env python
# -*- coding:utf-8 -*-
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()
#!/usr/bin/env python
# -*- coding:utf-8 -*-
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 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()
# 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()
#!/usr/bin/env python
# -*- coding:utf-8 -*-
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
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()