SQL查询
create table yuangong ( id number,
name varchar2(50),
zhiwei varchar2(50),
age number,
sex varchar2(20)
) tablespace test
insert into yuangong values(1,'周磊01','操作工',21,'男');
insert into yuangong values(2,'周磊02','操作工',23,'女');
insert into yuangong values(3,'周磊03','操作工',22,'男');
insert into yuangong values(4,'周磊04','操作工',24,'女');
insert into yuangong values(5,'周磊05','操作工',26,'男');
insert into yuangong values(6,'周磊06','操作工',25,'女');
insert into yuangong values(7,'周磊07','操作工',29,'男');
insert into yuangong values(8,'周磊08','操作工',28,'女');
insert into yuangong values(9,'周磊09','操作工',27,'男');
insert into yuangong values(10,'周磊10','操作工',25,'女');
insert into yuangong values(11,'周11磊','头目',39,'男');
insert into yuangong values(12,'周12磊','头目',31,'女');
insert into yuangong values(13,'周13磊','头目',37,'男');
insert into yuangong values(14,'周14磊','头目',34,'女');
insert into yuangong values(15,'周15磊','经理',45,'男');
select * from yuangong;
------------------------------------------------------------------
create table xinzi ( id number,
yuangonghao number,
yuefen number,
jine number
) tablespace test
select * from xinzi;
insert into xinzi values(1,1,1,3800);
insert into xinzi values(2,1,2,3600);
insert into xinzi values(3,1,3,3300);
insert into xinzi values(4,1,4,3200);
insert into xinzi values(5,2,1,2800);
insert into xinzi values(6,2,2,2600);
insert into xinzi values(7,2,3,2300);
insert into xinzi values(8,2,4,2200);
insert into xinzi values(9,3,1,2200);
insert into xinzi values(10,3,2,2500);
insert into xinzi values(11,3,3,2300);
insert into xinzi values(12,3,4,2800);
insert into xinzi values(13,4,1,1200);
insert into xinzi values(14,4,2,1500);
insert into xinzi values(15,4,3,1300);
insert into xinzi values(16,4,4,1800);
---------------------------------------------------
insert into xinzi values(17,11,1,4200);
insert into xinzi values(18,11,2,4500);
insert into xinzi values(19,11,3,4300);
insert into xinzi values(20,11,4,4800);
insert into xinzi values(21,12,1,4800);
insert into xinzi values(22,12,2,4600);
insert into xinzi values(23,12,3,4300);
insert into xinzi values(24,12,4,4200);
insert into xinzi values(25,13,1,4200);
insert into xinzi values(26,13,2,4300);
insert into xinzi values(27,13,3,4400);
insert into xinzi values(28,13,4,4500);
insert into xinzi values(29,13,1,4200);
insert into xinzi values(30,13,2,4300);
insert into xinzi values(31,13,3,4400);
insert into xinzi values(32,13,4,4500);
-------------------------------------------------------
insert into xinzi values(33,15,1,7300);
insert into xinzi values(34,15,2,7700);
insert into xinzi values(35,15,3,7500);
insert into xinzi values(36,15,4,7900);
------------------------------------------------------------------------------------
distinct 关键字可以获得唯一性记录，被distinct限制的既可以是单个列，也可以是多个列的组合。
select yuefen from xinzi;
select distinct yuefen from xinzi;
----------------------------------------------------------------------------------------------------
order by 关键字可以将查询的结果，按照一定的顺序进行排序，asc 升序；desc 降序；
select jine from xinzi order by jine desc;
select jine from xinzi order by jine asc;
--------------------------------------------------------------------------------------------------------
group by 字句
group by字句用于对记录集合进行分组。一旦使用了分组之后，select语句的真实操作目标即为各个分组数据，每次想循环处理的也是各个分组，
而不再是单条记录。
统计每一位员工的工资
select name,sum(jine) from yuangong,xinzi where yuangong.id = xinzi.yuangonghao
group by yuangong.id,name;
注意：order by子句是对最终结果进行排序的，因此，如果一条查询语句中同时存在着group by和order by子句，那么应该将order by 子句置于
group by之后，并且order by子句的排序标准不能出现group by子句定义之外的列。
------------------------------------------------------------------------------------------------------------------------------------
having子句
where子句会对from子句所定义的数据源进行条件过滤，但是针对group by子句形成的分组之后的结果集，where子句将会无能为力。
为了过滤group by子句产生的结果集，可以使用having子句
select name,sum(jine) from yuangong,xinzi where yuangong.id = xinzi.yuangonghao
group by yuangong.id,yuangong.name
having sum(jine) > 8500
order by sum(jine);
======================================================================================================================
drop table yuangong;
drop table xinzi;
