SQL Server2008 程序设计 汇总 group by ,WITH ROLLUP , WITH CUBE,Grouping sets(..)

时间:2022-02-04 02:00:33
--SQL Server2008 程序设计 汇总 group by ,WITH ROLLUP  WITH CUBE

/********************************************************************************
*主题:SQL Server2008 程序设计 汇总 group by ,WITH ROLLUP  WITH CUBE
*说明:本文是个人学习的一些笔记和个人愚见
* 有很多地方你可能觉得有异议,欢迎一起讨论

*作者:Stephenzhou(阿蒙)
*日期: 2012.12.5

*Mail:szstephenzhou@163.com
*另外:转载请著名出处。
**********************************************************************************/


上测试数据

 

 

IF OBJECT_ID('Inventory') is not null
drop table Inventory
go
create table Inventory(
Store varchar(2),
Item varchar(20),
Color varchar(10),
Quantity decimal
)
insert into Inventory values('NY','Table','Blue',124)
insert into Inventory values('NJ','Table','Blue',100)
insert into Inventory values('NY','Table','Red',29)
insert into Inventory values('NJ','Table','Red',56)
insert into Inventory values('PA','Table','Red',138)
insert into Inventory values('NY','Table','Green',229)
insert into Inventory values('PA','Table','Green',304)
insert into Inventory values('NY','Chair','Blue',101)
insert into Inventory values('NJ','Chair','Blue',22)
insert into Inventory values('NY','Chair','Red',21)
insert into Inventory values('NJ','Chair','Red',10)
insert into Inventory values('PA','Chair','Red',136)
insert into Inventory values('NJ','Sofa','Green',2)


  --一般的group by

 

select Item,Color,SUM(Quantity) as TotalQuantity,COUNT(Store) as Stores 
from Inventory
group by Item,Color
order by Item,Color
/*
Item Color TotalQuantity Stores
-------------------- ---------- --------------------------------------- -----------
Chair Blue 123 2
Chair Red 167 3
Sofa Green 2 1
Table Blue 224 2
Table Green 533 2
Table Red 223 3

(6 行受影响)
*/


 

 GROUP BY   .. WITH ROLLUP

多了4个rollup行

 

 select Item,Color,SUM(Quantity) as TotalQuantity,COUNT(Store) as Stores 
from Inventory
group by Item,Color WITH ROLLUP --group by rollup(item,color)
order by Item,Color
/*
Item Color TotalQuantity Stores
-------------------- ---------- --------------------------------------- -----------
NULL NULL 1272 13
Chair NULL 290 5
Chair Blue 123 2
Chair Red 167 3
Sofa NULL 2 1
Sofa Green 2 1
Table NULL 980 7
Table Blue 224 2
Table Green 533 2
Table Red 223 3

(10 行受影响)
*/


 

with cube 多维数据集,多维数据集的纬度取决于分组列的数目

 

 select Item,Color,SUM(Quantity) as TotalQuantity,COUNT(Store) as Stores 
from Inventory
group by Item,Color WITH cube --group by cube(item,color)
order by Item,Color

/*
Item Color TotalQuantity Stores
-------------------- ---------- --------------------------------------- -----------
NULL NULL 1272 13
NULL Blue 347 4
NULL Green 535 3
NULL Red 390 6
Chair NULL 290 5
Chair Blue 123 2
Chair Red 167 3
Sofa NULL 2 1
Sofa Green 2 1
Table NULL 980 7
Table Blue 224 2
Table Green 533 2
Table Red 223 3

(13 行受影响)

*/


 

 

仅返回*别

 select Item,Color,SUM(Quantity) as TotalQuantity,COUNT(Store) as Stores 
from Inventory
group by GROUPING sets(Item,Color)
order by Item,Color

/*
Item Color TotalQuantity Stores
-------------------- ---------- --------------------------------------- -----------
NULL Blue 347 4
NULL Green 535 3
NULL Red 390 6
Chair NULL 290 5
Sofa NULL 2 1
Table NULL 980 7

(6 行受影响)
*/


 

混合使用:

返回store*别和cube的两个item,color纬度所以级别组合

 

select Item,Color,SUM(Quantity) as TotalQuantity,COUNT(Store) as Stores
from Inventory
group by GROUPING sets(Store) ,cube(Item,color)
order by Item,Color

/*
Item Color TotalQuantity Stores
-------------------- ---------- --------------------------------------- -----------
NULL NULL 190 5
NULL NULL 504 5
NULL NULL 578 3
NULL Blue 225 2
NULL Blue 122 2
NULL Green 2 1
NULL Green 229 1
NULL Green 304 1
NULL Red 274 2
NULL Red 66 2
NULL Red 50 2
Chair NULL 32 2
Chair NULL 122 2
Chair NULL 136 1
Chair Blue 101 1
Chair Blue 22 1
Chair Red 10 1
Chair Red 21 1
Chair Red 136 1
Sofa NULL 2 1
Sofa Green 2 1
Table NULL 156 2
Table NULL 382 3
Table NULL 442 2
Table Blue 100 1
Table Blue 124 1
Table Green 229 1
Table Green 304 1
Table Red 29 1
Table Red 56 1
Table Red 138 1

(31 行受影响)
*/


 

 

 

 *作者:Stephenzhou(阿蒙)     
 *日期: 2012.12.5
 *Mail:szstephenzhou@163.com     
 *另外:转载请著名出处。
 *博客地址:http://blog.csdn.net/szstephenzhou