[每日一题] OCP1z0-047 :2013-07-22 group by 子句

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mob604756fb13b1 2013-07-22 19:11:00

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[每日一题] OCP1z0-047 :2013-07-22 group by 子句_.net

[每日一题] OCP1z0-047 :2013-07-22 group by 子句_sql_02

[每日一题] OCP1z0-047 :2013-07-22 group by 子句_oracle_03

这道题就是考where group by having的顺序。。。

答案Ａ不正确：where应该放在group by前面

答案Ｂ不正确：having子句是用多行函数（sum，avg,max,min,count）等做为条件

答案Ｃ不正确：where应该放在group by前面

参考如下：（其实having 也可以放在group by前面）

SELECT column, group_function

FROM table

[WHERE condition]

[GROUP BY group_by_expression]

[HAVING group_condition]

[ORDER BY column];

答案：D

**********************************************************

一、group by分组注意:

drop table t;
drop table t1;
create table t(id number,dt date);
create table t1(id number,dt date);
insert into t values(1,sysdate);
insert into t1 values(1,sysdate+1);
insert into t1 values(1,sysdate+2);
commit;

--表中不正确
select t.id,max(t1.dt) mdt
from t,t1 where t.id=t1.id;

--dual结合select 常量，始终返回一行，不管dual有多少行，所以正确
--在一般表里会出错，这个世界的规则有普通规则和特殊规则，如果都去遵守普遍规则，那么将会世界太平，特殊规则不用刻意去追求和遵循

with t as
(select 1 id,sysdate dt from dual),
t1 as
(select 1 id,sysdate+1 dt from dual union all
select 1,sysdate+2 from dual)
select t.id,max(t1.dt) mdt
from t,t1 where t.id=t1.id;

--t1.id是多行，不行
with t as
(select 1 id,sysdate dt from dual),
t1 as
(select 1 id,sysdate+1 dt from dual
UNION ALL
select 1,sysdate+2 from dual)
select t1.id,max(t1.dt) mdt
from t,t1 where t.id=t1.id;

--让tm来源于表，照样出错，和dual构造都有关系
with tm as
(select 1 id,sysdate dt from t),
t1 as
(select 1 id,sysdate+1 dt from dual union all
select 1,sysdate+2 from dual)
select t1.id,max(t1.dt) mdt
from tm,t1 where tm.id=t1.id;

select dummy from dual;
--错误
select dummy from dual having count(*)=1;

--错误
with t as
(select dummy from dual)
select dummy from t having count(*)=1;

--用dummy就算取别名也出错，dummy列里不是常量？？因为dummy允许多行
with t as
(select dummy x from dual)
select x from t having count(*)=1;
--正确，不用dummy，因为select 常量 from dual;不管dual有多少行，始终返回一行
with t as
(select 'X' x from dual)
select x from t having count(*)=1;

select * from dual;
--给dual插入一条数据
insert into sys.dual values('Y');

----------------------------------------------------神奇的dual------------------------------------------------------------------
SQL> select dummy from dual;

DUMMY
-----
X
Y

SQL> select 'X' x from dual;

X
-
X

SQL> drop table m;

Table dropped

SQL> create table m(d varchar2(10));

Table created

SQL> insert into m values('a');

1 row inserted

SQL> insert into m values('b');

1 row inserted

SQL> select 'X' x from m;

X
-
X
X

二、having写在group by前后都一样

drop table t;
create table t(id number,name varchar2(10),sal number);
insert into t values(1,'a',2000);
insert into t values(1,'b',3000);
insert into t values(2,'c',1000);
insert into t values(2,'x',2000);
insert into t values(3,'d',5000);
insert into t values(4,'e',4000);
commit;
delete from t where id=1;
--下面的结果是一样的，但是最好用第2种，可读性强
select id,max(sal),count(*) from t having count(*)>1 group by id;
select id,max(sal),count(*) from t group by id having count(*)>1;

俩个sql有什么区别？

1. select job,sum(sal) from emp t group by job having sum(sal) > 4200

2. select job,sum(sal) from emp t having sum(sal) > 4200 group by job

查询结果是一样的，具体这俩句有区别吗？？

没有区别，oracle having可以放在前后，常规写法第1种

三、理解分组

http://www.itpub.net/thread-1042899-1-1.html

如何实现比较复杂的分组、小计与合计

--测试代码
create table t_dist
(
TYPE_CD NUMBER,
BUYER_ID VARCHAR2(50),
ORDER_DT DATE,
SO_ID VARCHAR2(50) not null,
STOCK_ID VARCHAR2(50) not null,
UNIT_PRICE NUMBER,
DISCOUNT NUMBER,
QTY NUMBER
);

truncate table t_dist;
insert into t_dist values(1,'CN1001',to_date('2008-04-01','yyyy-mm-dd'),'S9001','29110311',50,10,8);
insert into t_dist values(1,'CN1001',to_date('2008-04-02','yyyy-mm-dd'),'S9002','29110312',60,20,2);
insert into t_dist values(1,'CN1001',to_date('2008-04-03','yyyy-mm-dd'),'S9003','29110313',70,15,3);
insert into t_dist values(2,'CN1001',to_date('2008-04-04','yyyy-mm-dd'),'S9004','29110312',60,15,5);
insert into t_dist values(2,'CN1001',to_date('2008-04-05','yyyy-mm-dd'),'S9005','29110311',70,10,6);
insert into t_dist values(3,'CN1001',to_date('2008-04-06','yyyy-mm-dd'),'S9006','29110313',55,20,4);
insert into t_dist values(3,'CN1001',to_date('2008-04-06','yyyy-mm-dd'),'S9007','29110311',40,10,3);
insert into t_dist values(3,'CN1001',to_date('2008-04-07','yyyy-mm-dd'),'S9008','29110312',50,50,5);
insert into t_dist values(3,'CN1001',to_date('2008-04-07','yyyy-mm-dd'),'S9009','29110313',80,10,2);
insert into t_dist values(1,'CN1001',to_date('2008-04-08','yyyy-mm-dd'),'S9010','29110311',65,10,1);
commit;

请问:如何实现如下结果,谢谢!
即计算按stock_id,type_cd,distount分组,计算每个产品的销售额(qty*unit_price)及销售百分比,并有小计

STOCK_ID TYPE_CD DISCOUNT AVG_PRICE SUM_TOT PCT
-------------------------------------------------------------------------------------------------
29110311 1 10 57.50 465 46.27%
29110311 2 10 70.00 420 41.79%
29110311 3 10 40.00 120 11.94%
小计 55.83 1005 100.00%
29110312 1 20 60.00 120 17.91%
29110312 2 15 60.00 300 44.78%
29110312 3 50 50.00 250 37.31%
小计 56.67 670 100.00%
29110313 1 15 70.00 210 35.59%
29110313 3 10 80.00 160 27.12%
29110313 3 20 55.00 220 37.29%
小计 68.33 590 100.00%

哦，我明白了PCT的意思了，以后要把问题描述的清楚点！[有没有奖励啊？ ]

具体如下：

SQL> select case when grouping_id(type_cd,discount) = 3 then '小计' else stock_id end stock_id,
2 type_cd,discount,avg(unit_price ) AVG_PRICE,
3 sum(qty*unit_price) SUM_TOT,
4 RATIO_TO_REPORT(sum(qty*unit_price )) over(partition by stock_id)*2 PCT
5 from t_dist
6 group by stock_id,rollup((type_cd,discount));

STOCK_ID TYPE_CD DISCOUNT AVG_PRICE SUM_TOT PCT
-------------------------------------------------- ---------- ---------- ---------- ---------- ----------
29110311 1 10 57.5 465 0.46268656
29110311 2 10 70 420 0.41791044
29110311 3 10 40 120 0.11940298
小计 56.25 1005 1
29110312 1 20 60 120 0.17910447
29110312 2 15 60 300 0.44776119
29110312 3 50 50 250 0.37313432
小计 56.6666666 670 1
29110313 1 15 70 210 0.35593220
29110313 3 10 80 160 0.27118644
29110313 3 20 55 220 0.37288135
小计 68.3333333 590 1

12 rows selected

QUOTE:
--------------------------------------------------------------------------------
原帖由 dingjun123 于 2011-2-23 10:13 发表

理解分组的概念
sum(sum(........之后相当于什么样的分组，后面又来个sum(.............

当然报错了
--------------------------------------------------------------------------------

还是不理解，
暂不看sum,这里的分子。分母是一样的啊。只是sum了分母，还是sum了分子；
相当于 sum(sum(a))/sum(a) 与 sum(a)/sum(sum(a)) ,后面的行的通，前面的怎么可能行不通啊

理解这个
with t as
(select mod(level,2) id from dual connect by level<10 )
select id,sum(id) from t
group by id;

with t as
(select mod(level,2) id from dual connect by level<10 )
select-- id,
sum(sum(id)) from t
group by id;

第2句为什么不能有id,因为sum(sum,外面的sum相当于全量分组了，相当于

with t as
(select mod(level,2) id from dual connect by level<10 )
select sum(x) from (
select id,
sum(id) x from t
group by id
);

那么当然不能有非汇总列在select里显示啊

一针见血啊。高~，很耐心的指导啊

还有个疑问
select
sum(sum(QTY )) over (partition by stock_Id) PCT1 ,
sum(sum(QTY )) over (partition by stock_Id,grouping(type_cd)) PCT2
from t_dist
group by rollup(stock_id,(type_cd,DISCOUNT))

PCT1,PCT2有何区别？我实在是想不懂了。

等价于这个
select sum(x) over (partition by stock_Id) PCT1,
sum(x) over(partition by stock_Id,gp) PCT2
from (
select
sum(QTY ) x,stock_Id,grouping(type_cd) gp
from t_dist
group by rollup(stock_id,(type_cd,DISCOUNT))
);

看红色部分就知道第3个加了grouping的值，那么分区（分组）是不同的，所以两个结果不同