复习&mysql

一、复习详尽如下：

创建一个test库
create database test;
授权一个用户
grant all privileges on *.* to 'xiang'@'%' identified by '1qaz@WSX';
创建表
create table student(id int not null);
查询
select * from tabel_name where 条件1 and  条件2
增加
insert into table_name (id, name, age, sex, grander) values (1, 'ling', 25, 'M', 99), (2, 'ajing', 45, 'F', 88);
改
update table_name set id=10 where 条件判断
删除
delete from table_name  where 条件判断
drop table table_name

联合查询
select a.id, b.name from A a join B b on a.id=b.tid

创建索引
create index idx_库名_表名_列名1_列名2 (列名1， 列名2)

查看sql是否走索引
explain select * from student where name='ling'

链接数据库
Python2 使用的是MySQLdb
python3 使用的pymysql  pip安装

1. 创建链接和游标
注意：在mysql连接中，尽量使用一个连接，确保mysql的并发数
conn = pymysql.connect(host='', port=, user='', passwd='', db='')
cus = conn.curse()
2. 实行sql
sql = "select * from Student;"
cus.execute(sql)
cus.fetchone()  获取单个  返回值  tuple
cus.fetchall()  获取多个  返回值  list（单个元素是tuple）
cus.fetchmany(size=n)  获取多个
3. 关闭游标和连接
cus.close()
conn.close()
注意结合try exception finally的使用


SQLAlchemy
1. 创建引擎
engine = create_engine('mysql+pymysql://useame:password@hostname:port/db')
2. 创建session
DBsession = sessionmaker(bind=engine)
session = DBsession()

3.创建表
a. 获得engine
b. metadata = MetaData(engine)
c. student = Table('表名', metadata, Colume('id', Integer, primary_key=True), Colume('name', String(50))
d. metadata.create_all()

4.增加
a. 先要有一个模型
Base = declarative_base(0
class Student(Base):
__tablename__ = 'student'
id = Column(Integer, primary_key=True)
name = Column(String(100), primary_key=True)

b. 导入模型类，实例化该类，
sutdent1 = Student(1, 'ling')
c. session.add(单实例)  session.add_all([实例1, 实例2])

5. 查询
filter和filter_by的区别
filter：可以使用>  < 等，但是列必须是： 表.列，filter的等于号是==
session.query(Student).filter(Student.id>100)
filter 不支持组合查询
session.query(Student).filter(Studnet.id>100).filter(name=='ling')

filter_by： 可以直接写列，不支持< >  filter_by 等于是==
session.query(Student).filter_by(id==10)
filter_by 可以支持组合查询
session.query(Student).filter_by(name=='ling' and id=='342')

select * from student where name like '%ling%';
模糊查询含有ling的关键字

模糊查询
session.query(Student).filter(Student.name like('%ling%'))

获取数据的时候有两个方法：
one()tuple
all()list(单个元素是tuple)
如果在查询中不写one(), 或者all()  出来的就是sql语句


6. 更新
1.  先查出来
2. 跟新一下类所对应的属性值就ok
3. session.commit()
student1 = session.query(Student).filter(Student.id==1001)
student1.name = "test"
session.commit()

7. 删除
1. 先查出来
2. 直接调用delete()方法就可以
3. 提交一下

8.统计， 分组，排序

统计：count()
只需要在查出来以后， 把one或者all替换成count()
统计有多少个

分组：group_by
查出来以后，把one或者all替换成group_by(属性)

二、课堂案例如下

from sqlalchemy import create_engine, Integer, String, Column
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker

Base = declarative_base()
class Student(Base):
__tablename__ = 'student'
id = Column(Integer, primary_key=True)
name = Column(String(100))
age = Column(Integer)
address = Column(String(100)）

def update(session):
student1 = session.query(Student).filter(Student.id == 1001).one()
student1.name='test123'
session.commit()
student2 = session.query(Student).filter(Student.id == 1001).one()
print(student2.name)
def delete(session):
session.query(Student).filter(Student.id == 1001).delete()
session.commit()

def insert(session):
student1 = Student(id=1004, name='ling', age=28, address='shanxi')
session.add(student1)
session.commit()

def count(session):
numnber = session.query(Student).filter().count()
print("total student is {0}".format(numnber))

def groupBy(session):
groupByAge = session.query(Student).group_by(Student.age).all()
print(groupByAge)
for i in groupByAge:
print(i.id, i.name, i.age, i.address)

def orderBy(session):
orderByAge = session.query(Student).order_by(Student.age.desc()).all()
for x in orderByAge:
print(x.id, x.name, x.age, x.address)

def main():
engine = create_engine('mysql+pymysql://xiang:xiang@192.168.48.136/sqlalchemy')
DBsession = sessionmaker(bind=engine)
session = DBsession()
# insert(session)
# update(session)
# delete(session)
# count(session)
# groupBy(session)
orderBy(session)


if __name__ == '__main__':
main()