आप इसे एक गतिशील sql क्वेरी निष्पादित करके प्राप्त कर सकते हैं।
क्वेरी
declare @sql nvarchar(max);
select @sql = 'select [Card], ' + stuff((
select distinct
',min(case [sl_no] when ' + cast([sl_no] as varchar(100))
+ ' then [TranID] end) as [TranID_' + cast([sl_no] as varchar(100)) + ']' +
',min(case [sl_no] when ' + cast([sl_no] as varchar(100))
+ ' then [Date] end) as [Date_' + cast([sl_no] as varchar(100)) + ']' +
',min(case [sl_no] when ' + cast([sl_no] as varchar(100))
+ ' then [ShopType] end) as [ShopType_' + cast([sl_no] as varchar(100)) + ']' +
',min(case [sl_no] when ' + cast([sl_no] as varchar(100))
+ ' then [ShopName] end) as [ShopName_' + cast([sl_no] as varchar(100)) + ']'
from (
select [sl_no] = row_number() over(
partition by [Card]
order by [Date]
), * from [dbo].[tbl_name]
) as [t]
for xml path('')
)
, 1, 1, ''
);
set @sql += ' from (select [sl_no] = row_number() over(partition by [Card] order by [Date]),
* from [dbo].[tbl_name]) as [t] group by [Card];';
exec(@sql);