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  • 总结

    T-SQL语句

    1.创建表
    create table CeShi1
    (
        Uid varchar(50) primary key,
        Pwd varchar(50),
        Name varchar(50),
        Nation varchar(50),
        foreign key(Nation) references Nation(Code)
    )

    primary key 主键
    not null 非空
    foreign key(Nation) references Nation(Code) 外键
    auto_increment 自增长

    注意:所有符号必须是英文状态下的
          每个表创建完之后加分号
          表里面的最后一列写完之后不要加逗号

    删除表:
    drop table PinPai


    数据的操作:CRUD操作

    1.添加数据:
    insert into Brand values('b001','宝马5'); #第一种方式
    insert into Brand (Code) values('b002');#第二种方式

    insert into PinPai values('','大众'); #处理自增长列

    2.最简单查询
    select * from PinPai  #查询所有数据
    select * from PinPai where Ids = 1;#根据条件查询

    3.修改数据

    update PinPai set Name = '大众' where Ids = 4; #修改某一条数据

    update Car set Name='哈弗',Time='2012-3-4',Price=16,Brand='b002' where Code='c001'

    4.删除数据

    delete from Brand #删除所有数据
    delete from PinPai where Ids = 4; #根据条件删除数据



    1.增加内容
    insert into Info values('p001','张三',true,'n001','1989-2-3')
    insert into Info (Code,Name) values('p002','李四');

    2.删除数据
    delete from Info where Code = 'p002'

    3.修改数据
    update Info set Name='李四' where Code='p001'

    4.查询数据

    (1)简单查询
    select * from Info
    select Code as '代号',Name as '姓名' from Info

    (2)条件查询
    select * from Car where Code='c002'
    select * from Car where Brand='b001' and Powers=130  或者用or

    (3)模糊查询
    select * from Car where Name like '%奥迪%'  %代表任意多个字符  _代表一个字符

    (4)排序查询
    select * from Car order by Brand,Powers desc

    (5)范围查询
    select * from Car where Price>=40 and Price<=60
    select * from Car where Price between 40 and 50

    (6)离散查询
    select * from Car where Code in ('c001','c003','c005','c007')
    select * from Car where Code not in('c001','c003','c005','c007')

    (7)聚合函数,统计查询
    select sum(Price) from Car #查询所有价格之和 sum()求和
    select count(Code) from Car #查询数据条数
    select max(Code) from Car #求最大值
    select min(Brand) from Car #求最小值
    select avg(Price) from Car #求平均值

    (8)分页查询
    #每页显示5条数据,取第2页的数据
    select * from Car limit (n-1)*5,5

    (9)去重查询
    select distinct Brand from Car

    (10)分组查询
    select count(*),Brand from Car group by Brand
    select Brand from Car group by Brand having count(*)>3 #分组之后根据条件查询使用having 不使用where
    高级查询

    1.连接查询,对列的扩展

        select * from Info,Nation #形成笛卡尔积
        select Info.Code,Info.Name,Info.Sex,Nation.Name,Info.Birthday from Info,Nation where Info.Nation = Nation.Code

        select * from Info join Nation
        select * from Info join Nation on Info.Nation = Nation.Code

    2.联合查询,对行的扩展

        select Code,Name from Info
        union
        select Code,Name from Nation

    3.子查询

    (1)无关子查询

    外层查询 (里层查询)
    子查询的结果当做父查询的条件

    子查询:select Code from Nation where Name='汉族'
    父查询:select * from Info where Nation = ''

        select * from Info where Nation = (select Code from Nation where Name='汉族')


    (2)相关子查询
        查询汽车表中油耗低于该系列平均油耗的所有汽车信息
        
        父查询:select * from Car where Oil<(该系列平均油耗)
        子查询:select avg(Oil) from Car where Brand = '某个系列'

        select * from Car a where Oil<(select avg(Oil) from Car b where b.Brand = a.Brand )


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  • 原文地址:https://www.cnblogs.com/zoubizhici/p/5534023.html
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