sql-forespørgsel for dynamisk at tilføje regnskabsmåned ved hjælp af pivot

Du skal bruge dynamisk SQL for at gøre dette. Den ru kode kommer til at ligne denne:

ALTER PROCEDURE [dbo].[_sp_GetDMActivityTrackerReport]
    @CoachId VARCHAR(7),
    @Month INT,
    @FiscalYear INT
AS 
BEGIN    

INSERT @FiscalMonth (ID,Month,NbHolidays,MonthDate,TotalDays)
EXECUTE dbo._sp_GetFiscalMonths @Month, @FiscalYear

DECLARE @cols AS NVARCHAR(MAX),
    @colsNull AS NVARCHAR(MAX),
    @colsSum AS NVARCHAR(MAX),
    @query  AS NVARCHAR(MAX)

select @cols = STUFF((SELECT distinct ',' + QUOTENAME(DateName(Month,nft.MonthPeriodStart)) 
                    from NonFieldTime nft
                    where datename(Month,nft.MonthPeriodStart) + '-'+ substring(datename(Year,nft.MonthPeriodStart),3,2) 
                        IN (SELECT Month +'-' +substring(datename(Year,MonthDate),3,2) [Months] 
                            FROM [email protected])
            FOR XML PATH(''), TYPE).value('.', 'NVARCHAR(MAX)'),1,1,'')

select @colsNull = STUFF((SELECT distinct ', IsNull(' + QUOTENAME(DateName(Month,nft.MonthPeriodStart))+', 0) as '+DateName(Month,nft.MonthPeriodStart)
                    from NonFieldTime nft
                    where datename(Month,nft.MonthPeriodStart) + '-'+ substring(datename(Year,nft.MonthPeriodStart),3,2) 
                        IN (SELECT Month +'-' +substring(datename(Year,MonthDate),3,2) [Months] 
                            FROM [email protected])
            FOR XML PATH(''), TYPE).value('.', 'NVARCHAR(MAX)') ,1,1,'')

select @colsSum = STUFF((SELECT distinct '+ IsNull(' + QUOTENAME(DateName(Month,nft.MonthPeriodStart))+', 0)'
                    from NonFieldTime nft
                    where datename(Month,nft.MonthPeriodStart) + '-'+ substring(datename(Year,nft.MonthPeriodStart),3,2) 
                        IN (SELECT Month +'-' +substring(datename(Year,MonthDate),3,2) [Months] 
                            FROM [email protected])
            FOR XML PATH(''), TYPE).value('.', 'NVARCHAR(MAX)') ,1,1,'')+' as [Total Field TIME] '

set @query = 'SELECT PreparationID,CoachId,UserID, MemberID,
                    [Rep Name], ' + @colsNull + ', '+ @colsSum+' 
             from 
             (
                SELECT up.PreparationID,
                    tt.UserId [CoachId],
                    up.UserID, utm.MemberID, 
                    (ui.FirstName + '' '' + ui.LastName) AS [Rep Name],
                    DateName(Month,nft.MonthPeriodStart) [Month], 
                    sum(nft.Quantity) [Days]
                FROM TransferedTime tt
                INNER JOIN UPreparation up 
                    ON tt.PreparationID = up.PreparationID 
                RIGHT JOIN UTeamMembers utm 
                    ON tt.UserId = utm.CoachID AND utm.MemberID = up.UserID
                INNER JOIN UserInfo ui 
                    ON utm.MemberID = ui.UserID
                LEFT JOIN NonFieldTime nft 
                    ON nft.UserId = tt.UserId 
                    AND tt.MonthPeriodFrom = nft.MonthPeriodStart
                    AND datename(Month,nft.MonthPeriodStart) + ''-''+ substring(datename(Year,nft.MonthPeriodStart),3,2) IN 
                        (SELECT Month +''-'' +substring(datename(Year,MonthDate),3,2) [Months] 
                         FROM [email protected])
                WHERE utm.MemberID IN (SELECT MemberID 
                                        FROM UTeamMembers 
                                        WHERE CoachID = '[email protected]+')
                GROUP BY up.PreparationID,tt.UserId,up.UserID, utm.MemberID,
                (ui.FirstName + '' '' + ui.LastName),DateName(Month,nft.MonthPeriodStart)
            ) x
            pivot 
            (
                sum(Days)
                for Month in (' + @cols + ')
            ) p '

execute(@query)

Mit forslag i stedet for at bruge temp-tabellen @FiscalMonth er at oprette en tabel, der er permanent til dette. Det vil være meget nemmere at forespørge mod en perm-tabel i stedet for temp-tabellen, når du bruger dynamisk sql. Temp-tabellen er muligvis uden for den dynamiske forespørgsel.