在SQL Server中枢轴 [英] Pivot in sql server

问题描述

是的，我已经尝试了代码.我的要求是用户输入Year and Month&.价格在该年和月份的列中按日期显示，第一列为CompetitorID.我希望我的结果像这样:

Yes I've tried the code. My requirement is that user inputs Year and Month & prices are shown date-wise in columns for that year and month, with first column as CompetitorID. I want my result like:

Competitors | day1  | day2  | day3  | day4 ..............|day31
================================================================
competitor 1| Price | Price | price | price..............|price 
competitor 2| Price | Price | price | price..............|price
competitor 3| Price | Price | price | price..............|price 
competitor 4| Price | Price | price | price..............|price

我的表格结构是:

COMPETITORDETAIL (ID, CompetitorID, oDate, Price)

推荐答案

这要容易得多.我编写了一个名为 pivot_query 的存储过程，该过程使PIVOT在SQL Server 2005+中更容易使用. proc的来源是此处，如何使用它的一些示例是此处.

This is a lot easier. I wrote a stored proc named pivot_query that makes PIVOT a lot easier to use for SQL Server 2005+. The source for the proc is here, some examples how to use it are here.

对于您的代码示例:

create table Competitors
   (
   CompetitorId      integer identity,
   Name              varchar(30)
   )

insert into Competitors values ('Bobs Discount Emporium')
go
insert into Competitors values ('Joes Really Cheap Crap')
go

create table CompetitorDetail
   (
   Id                integer identity,
   CompetitorId      integer,
   oDate             datetime,
   Price             decimal(12,3)
   )

insert into CompetitorDetail values (1, getdate()-10, 10.00)
go
insert into CompetitorDetail values (1, getdate()-10, 10.00)
go
insert into CompetitorDetail values (1, getdate()-10, 10.00)
go
insert into CompetitorDetail values (1, getdate()-10, 10.00)
go
insert into CompetitorDetail values (1, getdate()-8, 11.00)
go
insert into CompetitorDetail values (1, getdate()-8, 11.00)
go
insert into CompetitorDetail values (1, getdate()-8, 11.00)
go
insert into CompetitorDetail values (1, getdate()-8, 11.00)
go
insert into CompetitorDetail values (1, getdate()-6, 12.00)
go
insert into CompetitorDetail values (1, getdate()-6, 12.00)
go
insert into CompetitorDetail values (1, getdate()-6, 12.00)
go
insert into CompetitorDetail values (1, getdate()-2, 13.00)
go
insert into CompetitorDetail values (1, getdate()-2, 13.00)
go
insert into CompetitorDetail values (1, getdate()-2, 13.00)
go
insert into CompetitorDetail values (2, getdate()-10, 14.00)
go
insert into CompetitorDetail values (2, getdate()-10, 14.00)
go
insert into CompetitorDetail values (2, getdate()-10, 14.00)
go
insert into CompetitorDetail values (2, getdate()-10, 14.00)
go
insert into CompetitorDetail values (2, getdate()-8, 15.00)
go
insert into CompetitorDetail values (2, getdate()-8, 15.00)
go
insert into CompetitorDetail values (2, getdate()-8, 15.00)
go
insert into CompetitorDetail values (2, getdate()-8, 15.00)
go
insert into CompetitorDetail values (2, getdate()-6, 16.00)
go
insert into CompetitorDetail values (2, getdate()-6, 16.00)
go
insert into CompetitorDetail values (2, getdate()-6, 16.00)
go
insert into CompetitorDetail values (2, getdate()-2, 18.00)
go
insert into CompetitorDetail values (2, getdate()-2, 18.00)
go
insert into CompetitorDetail values (2, getdate()-2, 18.00)
go

declare @mySQL varchar(MAX)

set @mySQL = '
select
   c.Name,
   right(cast(month(cd.oDate) + 100 as varchar(3)),2) + ''_'' + right(cast(day(cd.oDate) + 100  as varchar(3)),2) mon_day,
   cd.Price
from
   Competitors c

   JOIN CompetitorDetail cd
      on (cd.CompetitorId = c.CompetitorId )
   ';

exec pivot_query @mySQL, 'Name', 'Mon_Day', 'max(Price) MaxP,min(Price) MinP'

其结果是:

Name                           01_09_MaxP   01_09_MinP   01_11_MaxP   01_11_MinP   01_13_MaxP   01_13_MinP   01_17_MaxP   01_17_MinP   
------------------------------ ------------ ------------ ------------ ------------ ------------ ------------ ------------ ------------ 
Bobs Discount Emporium         10.000       10.000       11.000       11.000       12.000       12.000       13.000       13.000       
Joes Really Cheap Crap         14.000       14.000       15.000       15.000       16.000       16.000       18.000       18.000       

希望有帮助！

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