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Hi


I have a datatable with 5 columns i have to check whether the ID field in datatable is duplicate if so i have to find the value of column name and append it in the first row so tht multiple rows can be avoided

ID Name Age
1 sadf 2
1 sadf 4

i have to show like this

ID Name Age
1 sadf 2,4
Posted
Comments
Swinkaran 17-Sep-12 0:54am    
What is the purpose of doing this? This is not a correct approach.
Arjun Menon U.K 17-Sep-12 1:05am    
I am trying to list a product (say a Bike) i have to list among them the manufacturer the model and the service center..Only the service center name changes where as it remains the same for the manufacturer and model. So i should display list as <manufacturer> <model> <servicecenter1>,<servicecenter2>

Hi,

See the similar discussion Here[^]. It may work for you.
 
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Arjun Menon U.K 17-Sep-12 1:52am    
Thanks amit :) i did in c# anyways thanks a lot :)
AmitGajjar 17-Sep-12 1:54am    
Nice, You can use LINQ to do that from C#. but i suggest you from SQL.
Arjun Menon U.K 17-Sep-12 8:10am    
@amit i avoided LING just mere looping and checking... :)
AmitGajjar 17-Sep-12 8:11am    
ok... good.
Hey there,

As a developer, you MUST improve your Google-arts :) Check out the below solution, it should help you.

A modified solution from: Common Solutions for T-SQL[^]
SQL
SELECT
   YT.ID,
   AgeList = substring((SELECT ( ', ' + RTRIM(LTRIM(STR(YT2.ItemId))))
                           FROM YourTable YT2
                           WHERE YT.ID = YT2.ID
                           ORDER BY 
                              YT2.ID,
                              YT2.Age
                           FOR XML PATH( '' )
                          ), 3, 5000)FROM YourTable YT

Hope this helps, regards
 
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Arjun Menon U.K 17-Sep-12 1:52am    
Thanks CodeHawkz:) i did in c# anyways thanks a lot :)
This is not a good design and makes querying data difficult and defeats the purpose of a relational database.
 
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Arjun Menon U.K 17-Sep-12 0:52am    
Its the requirement other wise i will have duplicate values except for the Age columns

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