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;