public class AggregateRows
{
class AA { public string A, B, C, D;}
public void DoIt()
{
List<AA> a = new List<AA>( )
{
new AA { A="1", B=null, C=null, D=null},
new AA { A=null, B="1", C=null, D=null},
new AA { A=null, B=null, C="1", D=null},
new AA { A=null, B=null, C=null, D="1"},
};
var result = a.Aggregate( ( a1, a2 ) => new AA { A = a1.A ?? a2.A, B = a1.B ?? a2.B, C = a1.C ?? a2.C, D = a1.D ?? a2.D } );
Console.WriteLine("{0}{1}{2}{3}",result.A,result.B,result.C,result.D);
}
}
yields
1111
and
public class AggregateRows
{
class AA
{
public string N, A, B, C, D;
}
public void DoIt()
{
List<AA> data = new List<AA>()
{
new AA { N="Name", A="1", B=null, C=null, D=null},
new AA { N="Name", A=null, B="2", C=null, D=null},
new AA { N="Name", A=null, B=null, C="3", D=null},
new AA { N="Name", A=null, B=null, C=null, D="4"},
new AA { N="Name2", A="2", B=null, C=null, D=null},
new AA { N="Name2", A=null, B="2", C=null, D=null},
new AA { N="Name2", A=null, B=null, C="2", D=null},
new AA { N="Name2", A=null, B=null, C=null, D="2"},
};
var results = data.GroupBy( a => a.N )
.Select( k =>
{
var values = k.Aggregate( ( a1, a2 ) => new AA
{
A = a1.A ?? a2.A,
B = a1.B ?? a2.B,
C = a1.C ?? a2.C,
D = a1.D ?? a2.D
} );
return new AA { N = k.Key, A = values.A, B = values.B, C = values.C, D = values.D };
} );
foreach ( var result in results )
Console.WriteLine( "{0} {1}{2}{3}{4}", result.N, result.A, result.B, result.C, result.D );
}
}
yields
Name 1234
Name2 2222
EDIT: In response to your clarification...
I guess you ll be able to take it from here then. If all you want to do is find out whether there is a column within the group, then the Any
operator like in Bruno s answer is the way to go. Aggregate
is only necessary if you re trying to actually visit all the values in order to do something more complex like summing them (although as Jon alluded to, Sum
handles that specific case).
In short, what you want is grouping like in both the answer, and then within the group you either use Aggregate
to merge row by row or multiple Any
on the results of the GroupBy
depending on which is clearer in your context (or more efficient if you have a large set of data within each group)