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c#linqdatatablegroup-bymultiple-columns
Sam
Sam

Reputation: 329

c # using linq to group by multiple columns in a datatable

I have three columns in a datatable: string, DateTime, and decimal. I want to group by the string and decimal column, and for the rows grouped I want to sum the decimal values. I know how to do the sum part, but how do you group two different columns in a datatable?

This is my code so far which doesn't work properly:

var newSort = from row in objectTable.AsEnumerable()
              group row by new {ID = row.Field<string>("resource_name"), time1 = row.Field<DateTime>("day_date")} into grp
              orderby grp.Key
              select new
              {
                 resource_name1 = grp.Key.ID,
                 day_date1 = grp.Key.time1,
                 Sum = grp.Sum(r => r.Field<Decimal>("actual_hrs"))
              };

Upvotes: 7

Views: 83268

Answers (3)

user3837750
user3837750

Reputation: 1

For those that want a solution in Vb.net, here is an example:

Dim workTable As DataTable = New DataTable("Customers")

Dim workCol As DataColumn = workTable.Columns.Add("ID", Type.GetType("System.Int32"))
workTable.Columns.Add("Total", Type.GetType("System.Decimal"))
workTable.Columns.Add("Compra", Type.GetType("System.Decimal"))

Dim row As DataRow = workTable.NewRow()
row("id") = 2
row("total") = 1.5
row("compra") = 3
workTable.Rows.Add(row)
row = workTable.NewRow()

row("id") = 1
row("total") = 1.5
row("compra") = 3.3999999999999999
workTable.Rows.Add(row)
row = workTable.NewRow()
row("id") = 1
row("total") = 1.5
row("compra") = 5
workTable.Rows.Add(row)


Dim detalles As IEnumerable(Of DataRow) = workTable.AsEnumerable()

Dim query = From detalle In detalles.AsEnumerable() _
            Group detalle By grupoClave = New With _
                                        { _
                                            Key .C2 = detalle("id"), _
                                            Key .C4 = detalle("total")} Into g = Group _
                                    Select New With _
                                    { _
                                        .Col2 = g(0).Field(Of Integer)("id"), _
                                        .Col3 = g(0).Field(Of Decimal)("total"), _
                                        .Col4 = g.Sum(Function(fact) fact.Field(Of Decimal)("compra")) _
                                    }

For Each p In query
    Console.WriteLine((p.Col2 & p.Col3 & p.Col4))
Next

Upvotes: 0

ar.gorgin
ar.gorgin

Reputation: 5002

use this code 

var newSort = from row in objectTable.AsEnumerable()
          group row by new {ID = row.Field<string>("resource_name"), time1 =    row.Field<DateTime>("day_date")} into grp
          orderby grp.Key
          select new
          {
             resource_name1 = grp.Key.ID,
             day_date1 = grp.Key.time1,
             Sum = grp.Sum(r => Convert.ToDecimal(r.ItemArray[2]))
          };

Upvotes: 4

StriplingWarrior
StriplingWarrior

Reputation: 156524

I don't think you're giving us the full story. Other than orderby not working with anonymous types (the code you gave wouldn't have compiled), your query should work the way you want. I just put this in LINQPad:

var objectTable = new DataTable();
objectTable.Columns.Add("resource_name",typeof(string));
objectTable.Columns.Add("day_date",typeof(DateTime));
objectTable.Columns.Add("actual_hrs",typeof(decimal));
objectTable.Rows.Add(1, DateTime.Today, 1);
objectTable.Rows.Add(2, DateTime.Today, 2);

var newSort = from row in objectTable.AsEnumerable()
            group row by new {ID = row.Field<string>("resource_name"), time1 = row.Field<DateTime>("day_date")} into grp
            select new
                {
                    resource_name1 = grp.Key.ID,
                    day_date1 = grp.Key.time1,
                    Sum = grp.Sum(r => r.Field<Decimal>("actual_hrs"))
                };
newSort.Dump();

... and I got these results:

resource_name1 | day_date1            | Sum
1              | 7/1/2011 12:00:00 AM | 1 
2              | 7/1/2011 12:00:00 AM | 2

Upvotes: 22

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