这在前端报告/显示应用程序中可能更容易,但对于 sql,您需要执行动态数据透视。但是由于这些列由连续的玩家编号别名,并且特定玩家因游戏而异,因此您不能使用典型的动态 sql 示例。
这是一种方法:
样本数据
set ansi_warnings off
set nocount on
create table #t (Game varchar(20), Role varchar(15), [Name] varchar(20))
insert #t
select 'VolleyBall', 'Coach', 'Sujatha'
union all select 'VolleyBall', 'Player', 'Rajendran'
union all select 'VolleyBall', 'Player', 'Juno'
union all select 'VolleyBall', 'Player', 'Indira'
union all select 'VolleyBall', 'Player', 'Ganesh'
union all select 'VolleyBall', 'Player', 'Vasanth'
union all select 'Tennis', 'Coach', 'Rajeshkumar'
union all select 'Tennis', 'Player', 'Vivek'
union all select 'Tennis', 'Player', 'Rubala'
union all select 'Cricket', 'Coach', 'Gary'
union all select 'Cricket', 'Player', 'Viru'
union all select 'Cricket', 'Player', 'Gauti'
union all select 'Cricket', 'Player', 'Sachin'
union all select 'Cricket', 'Player', 'Mahi'
union all select 'Cricket', 'Player', 'Yuvi'
union all select 'Cricket', 'Player', 'Suresh'
union all select 'Cricket', 'Player', 'Virat'
union all select 'Cricket', 'Player', 'Bhajji'
union all select 'Cricket', 'Player', 'Zaheer'
union all select 'Cricket', 'Player', 'Ishant'
union all select 'Cricket', 'Player', 'Ashish'
创建动态 SELECT 和 PIVOT 子句以及 EXEC 语句
declare @max int
select top 1 @max = count(*)
from #t
where role = 'player'
group by game
order by count(*) desc
declare @sel varchar(2000)
,@piv varchar(2000)
;with nos (n) as (select 1 union all select n+1 from nos where n < @max)
select @sel = coalesce(@sel + ', '
+ 'max([' + convert(varchar(2), n) + ']) as player' + convert(varchar(2), n)
, 'max([' + convert(varchar(2), n) + ']) as player' + convert(varchar(2), n)
)
,@piv = coalesce(@piv + ',[' + convert(varchar(2), n) + ']', '[' + convert(varchar(2), n) + ']')
from nos
-----------------------------------------------------------------------------
exec('
select p.game
,max(p.coach) as coach
,' + @sel + '
from (
select game
,case when role = ''coach'' then [name] end as coach
,case when role = ''player'' then [name] end as player
,row_number() over (partition by game, role order by name) as seq
from #t
) d
pivot (max(player) for seq in (' + @piv + ')) p
group by p.game
')
go
drop table #t
输出:
game coach player1 player2 player3 player4 player5 player6 player7 player8 player9 player10 player11
-------------------- -------------------- -------------------- -------------------- -------------------- -------------------- -------------------- -------------------- -------------------- -------------------- -------------------- -------------------- --------------------
Cricket Gary Ashish Bhajji Gauti Ishant Mahi Sachin Suresh Virat Viru Yuvi Zaheer
Tennis Rajeshkumar Rubala Vivek NULL NULL NULL NULL NULL NULL NULL NULL NULL
VolleyBall Sujatha Ganesh Indira Juno Rajendran Vasanth NULL NULL NULL NULL NULL NULL