參考：
create table test2(id int,name varchar(20),quarter char,profile1 int)
insert into test2 values(1,'a',1,1000)
insert into test2 values(1,'a',2,2000)
insert into test2 values(1,'a',3,4000)
insert into test2 values(1,'a',4,5000)
insert into test2 values(2,'b',1,3000)
insert into test2 values(2,'b',2,3500)
insert into test2 values(2,'b',3,4200)
insert into test2 values(2,'b',4,5500)
select * from test2
select id,name
,[1] as 一季度
,[2] as 二季度
,[3] as 三季度
,[4] as 四季度
from test2
pivot(count([profile1])for [quarter] in ([1],[2],[3],[4])) pvt
自己寫的：
--海爾專案當天抓取資料統計指令碼
declare @cureent varchar(30)
--抓取總數量
select @cureent=convert(varchar(30),getdate(),101)
select getdate() as 時間
,count(1)as 抓取總數量
from [sec_item]
where brand_id=20002 and [item_cdate]>= @cureent
--正常與極速抓取總數量
select [0] as [正常抓取(總數)],[1]as [極速抓取(總數)] from
(select count(1) as 數量 ,isfsearchengine
from [sec_item]
where brand_id=20002 and [item_cdate]>=@cureent group by isfsearchengine
) as a
pivot(sum(數量)for isfsearchengine in ([0],[1])) pvt
--詳細列表
select [0] as [正常抓取(數量)]
,[1] as [極速抓取(數量)]
,case item_state when 0 then '未分揀' when 1 then '已分揀' when 2 then '正在分揀' when 4 then '已放棄' end as [分揀情況]
from
(select count(1) as 數量 ,isfsearchengine,item_state
from [sec_item]
where brand_id=20002 and [item_cdate]>=@cureent group by isfsearchengine,item_state
) as a
pivot(sum(數量)for isfsearchengine in ([0],[1])) pvt
go
go
--本週的極速的分揀情況
declare @cureent varchar(30)
select @cureent='2012-11-12' --周一的日期
declare @datetable table ([date] datetime )
declare @isfsearchengine nvarchar(max)
declare @datas nvarchar(max)
declare @rows nvarchar(max)
declare @sql nvarchar(max)
declare @num int
set @isfsearchengine='1' --0：非極速、1：極速
set @num=0
set @sql=''
while @num<5
begin
insert into @datetable values( convert(varchar(11), dateadd(day,@num,@cureent),120))
set @num=@num+1
endselect @datas=isnull(@datas+',','')+'['+convert(varchar(11),[date],120)+']' from @datetable
select @rows=isnull(@rows+',','')+'isnull(['+convert(varchar(11),[date],120)+'],0) as ['+convert(varchar(11),[date],120)+']' from @datetable
--select @datas
--select @rows
set @sql=@sql+'select '
+@rows
+',case item_state when 0 then ''未分揀'' when 1 then ''已分揀'' when 2 then ''正在分揀'' when 4 then ''已放棄'' end as [分揀情況]
from
( select count(1)as 數量,convert(varchar(11),[item_cdate],120) as [date],[item_state]
from [sec_item]
where brand_id=20002 and [item_cdate]>='+@cureent+' and isfsearchengine='+@isfsearchengine
+'group by convert(varchar(11),[item_cdate],120),[item_state]
) as a pivot(sum(數量)for [date] in ('+@datas+')) pvt'
print @sql
exec(@sql)
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