SQL Server2008 程序设计 汇总 GROUP BY，WITH ROLLUP，WITH CUBE，GROUPING SETS(..)
--SQL Server2008 程序设计 汇总 GROUP BY ,WITH ROLLUP WITH CUBE GROUPING SET(..)
- /********************************************************************************
- *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。
- **********************************************************************************/
--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。
**********************************************************************************/
以下是测试数据
- 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)
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)
- */
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)
- */
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)
- */
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) */
GROUPING SETS(..) 仅返回最高级别
- 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)
- */
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最高级别和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)
- */
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)
*/
转载请著名出处。 *博客地址：http://blog.csdn.net/szstephenzhou
SQL Server2008 程序设计 汇总 GROUP BY，WITH ROLLUP，WITH CUBE，GROUPING SETS(..)的更多相关文章
- [转]详解Oracle高级分组函数(ROLLUP, CUBE, GROUPING SETS)
原文地址:http://blog.csdn.net/u014558001/article/details/42387929 本文主要讲解 ROLLUP, CUBE, GROUPING SETS的主要用 ...
- 高级聚合函数rollup(),cube(),grouping sets()
rollup(),cube(),grouping sets() 上面这几个函数,是对group by分组功能做的功能扩展. a.rollup() 功能:在原结果基础上追加一行总合计记录 ...
- SQL 中GROUP BY 、ROLLUP、CUBE 关系和区别
转自:http://www.cnblogs.com/dyufei/archive/2009/11/12/2573974.html 不言自明,看SQL就完全理解了,不需要过多解释,不错,分享之: ROL ...
- GROUP BY中ROLLUP/CUBE/GROUPING/GROUPING SETS使用示例
oracle group by中rollup和cube的区别: Oracle的GROUP BY语句除了最基本的语法外,还支持ROLLUP和CUBE语句.CUBE ROLLUP 是用于统计数据的. 实验 ...
- SQL Server2008宝典 全书代码
-- ============================================= -- Create database template -- ==================== ...
- Oracle中group by 的扩展函数rollup、cube、grouping sets
Oracle的group by除了基本使用方法以外,还有3种扩展使用方法,各自是rollup.cube.grouping sets.分别介绍例如以下: 1.rollup 对数据库表emp.如果当中两个 ...
- 【转】rollup、cub、grouping sets、grouping、grouping_id在报表中的应用
摘自 http://blog.itpub.net/26977915/viewspace-734114/ 在报表语句中经常要使用各种分组汇总,rollup和cube就是常用的分组汇总方式. 第一:gro ...
- SQL Server 之 GROUP BY、GROUPING SETS、ROLLUP、CUBE
1.创建表 Staff CREATE TABLE [dbo].[Staff]( ,) NOT NULL, ) NULL, ) NULL, ) NULL, [Money] [int] NULL, [Cr ...
- 64位 SQL Server2008链接访问Oracle 过程汇总解决方法记录
64位 SQL Server2008链接访问Oracle 过程汇总解决方法记录 经过几天不停的网上找资料,实验,终于联通了. 环境:系统:win 2008 ,SqlServer2008 R2, 连接O ...
随机推荐
- Reactor模式（反应器模式）
Reactor这个词译成汉语还真没有什么合适的,很多地方叫反应器模式,但更多好像就直接叫reactor模式了,其实我觉着叫应答者模式更好理解一些.通过了解,这个模式更像一个侍卫,一直在等待你的召唤,或 ...
- oracle服务介绍
按照windows 7 64位 安装oracle 11g R2中的方法成功安装Oracle 11g后,共有7个服务,这七个服务的含义分别为: 1. Oracle ORCL VSS Writer Ser ...
- Boost 1.62.0 编译参数
# Copyright Vladimir Prus 2002-2006.# Copyright Dave Abrahams 2005-2006.# Copyright Rene Rivera 2005 ...
- Python的进程间通信
进程间通讯有多种方式,包括信号,管道,消息队列,信号量,共享内存,socket等 1.共享内存 Python可以通过mmap模块实现进程之间的共享内存 mmap文件对象既像一个字符串也像一个普通文件对 ...
- 创建一个.bat文件，用于打开某个路径下的文件
- C#并行和多线程编程_(1)认识Parallel
Parallel: 英 [ˈpærəlel] 美 [ˈpærəˌlɛl] ,并联的,并行的. 随着多核时代的到来,并行开发越来越展示出它的强大威力!使用并行程序,充分的利用系统资源,提高程序的性 ...
- Extjs4.2 多选下拉框
//多选下拉框 Ext.define('MDM.view.custom.MultiComboBox', { extend: 'Ext.form.ComboBox', alias: 'widget.mu ...
- hibernate持久化操作注意
15:05 2014/5/21 1.设置lazy为false可以立即加载配合get,lazy默认true,配合load使用. 2.把pojo类定义为final的类.为最终就可以不使用代理 3.pojo ...
- CSS3中translate、transform和translation的区别和联系
translate:移动,transform的一个方法 通过 translate() 方法,元素从其当前位置移动,根据给定的 left(x 坐标) 和 top(y 坐标) ...
- C++函数转换成C#函数
/// /// </param> /// <returns></returns> ...