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Home/ Questions/Q 9189345
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Editorial Team
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Editorial Team
Asked: June 17, 20262026-06-17T20:12:55+00:00 2026-06-17T20:12:55+00:00

(from pd in context.Report where pd.ReportDate.Month == 2012 && pd.ReportDate.Year == 11 && pd.UserID

  • 0
(from pd in context.Report
where pd.ReportDate.Month == 2012
&& pd.ReportDate.Year == 11 && pd.UserID == 11014
group pd by  pd.UserID  into g
select new 
{                               
    Cost = g.Sum(pd => pd.Cost),
    RevenueUSD = g.Sum(pd => pd.Revenue),
});

This Query is

 -- Region Parameters
    DECLARE @p0 Int = 2012
    DECLARE @p1 Int = 11
    DECLARE @p2 Int = 11014
    -- EndRegion
    SELECT SUM([t0].[Cost]) AS [Cost], SUM([t0].[Revenue]) AS [RevenueUSD]
    FROM [IntegratedPublisherData] AS [t0]
    WHERE (DATEPART(Month, [t0].[ReportDate]) = @p0) AND (DATEPART(Year, [t0].[ReportDate]) = @p1) AND ([t0].[UserID] = @p2)
    GROUP BY [t0].[UserID]

But I Want

 -- Region Parameters
    DECLARE @p0 Int = 2012
    DECLARE @p1 Int = 11
    DECLARE @p2 Int = 11014
    -- EndRegion
    SELECT SUM([t0].[Cost]) AS [Cost], SUM([t0].[Revenue]) AS [RevenueUSD]
    FROM [IntegratedPublisherData] AS [t0]
    WHERE (DATEPART(Month, [t0].[ReportDate]) = @p0) AND (DATEPART(Year, [t0].[ReportDate]) = @p1) AND ([t0].[UserID] = @p2)

This query will return 1 row because UserID is selected to one value and it’s grouped by UserID.

How can I write this Linq query using Sum without grouping?

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1 Answer

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  1. Editorial Team
    Editorial Team
    2026-06-17T20:12:57+00:00Added an answer on June 17, 2026 at 8:12 pm

    This will also cover your problem, if there are multiple rows returned from the query. Also works for a single row.

    var query = 
        (from pd in context.Report
         where pd.ReportDate.Month == 11
         && pd.ReportDate.Year == 2012 
         && pd.UserID == 11014
         select pd).ToList() //use .ToList() to avoid doubled execution
    var result = 
        new 
        {
            Cost = query.Sum(pd => pd.Cost), 
            RevenueUSD = query.Sum(pd => pd.Revenue) 
        };
    
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