Question

我正在使用SQL Server 2014，并且我当前查询的摘要如下所示。我的问题涉及我的查询的最后一个SELECT语句。现在它工作正常，输出如下：

ReservationStayID ........... XBEV01   XBEV02   XBEV03  XFOOD1   XFOOD2
     215          ...........  1500      0        0      300       100
     356          ...........   500      200      0      600       700
     620          ...........   300      0        600     0        200

现在我创建了一个名为“Extras”的表，它看起来像这样：

 Code       Description          RevenueType
XBEV01     Beverage Bar A      Beverage Charge
XBEV01     Beverage Bar A      Beverage Charge
XBEV01     Beverage Bar A      Beverage Charge
XFOOD1     Food A              Food Charge
XFOOD2     Food B              Food Charge

我想修改我的查询，以便输出如下所示：

ReservationStayID ........... Beverage Charge     Food Charge
     215          ...........  1500                  400
     356          ...........   700                 1300
     620          ...........   900                  200

我知道我需要使用“Extras”表的“Code”列与“P5FolioCharge”表的“FOC_TRANSACTIONCODE”列进行LEFT JOIN，但我无法弄清楚如何在我的查询。我想我需要修改查询的最后一个SELECT语句中的SUM语句。

以下是我当前查询的摘录：

USE MyDatabase

SELECT 
  x.[ReservationStayID],
  b.PropertyCode,
  c.PMSConfirmationNumber,
  j.FOH_PMSCONFIRMATIONNUMBER,
  y.FOC_ACCOUNT,
   .......  
  b.GuestCount AS 'Total Guest',
  x.[Nights Spent] AS 'Room Nights',
  x.[MTH],
  x.[Rate] AS 'Room Rate WITH VAT',
  c.CurrencyCode, --added
  h.ROE AS 'Rate of Exchange', 
  (x.[Nights Spent]*x.[Rate]*h.[ROE])/NULLIF(1.15,0) AS 'PkgRevenue, Excl. VAT', 
  ((x.[Nights Spent]*x.[Rate]*h.[ROE])/1.15)/NULLIF((b.GuestCount*x.[Nights Spent]),0) AS 'GADR, Excl. VAT', 
  x.CreatedOn,
  x.[DateOfArrival],
  x.[DateOfDeparture],

  e.TravelAgencyTypeCode AS 'Source of Business', 
  c.TAProfileID, 
  e.Name AS 'Tour Operator',
  g.CountryGroup AS 'Market',
  c.TAProfileID2, --added
  e2.Name AS 'Booking Origin (1)', 
  g2.CountryGroup AS 'Booking Origin (2)',
  y.[NetAmount(XBEV01)],
  y.[NetAmount(XBEV02)],
  y.[NetAmount(XBEV03)],
  y.[NetAmount(XFOOD1)],
  y.[NetAmount(XFOOD2)]

  FROM GuestNameInfo a
  JOIN GuestStaySummary b ON a.ReservationStayID = b.ReservationStayID
  LEFT JOIN ReservationStay c ON c.ReservationStayID = b.ReservationStayID
  LEFT JOIN P5RESERVATIONLIST d ON d.rsl_code = b.ReservationStayID 
  LEFT JOIN TravelAgency e ON e.TravelAgencyID = c.TAProfileID 
  LEFT JOIN Market g ON e.CountryCode = g.CountryCode --added
  LEFT JOIN TravelAgency e2 ON e2.TravelAgencyID = c.TAProfileID2
  LEFT JOIN Market g2 ON e2.CountryCode = g2.CountryCode --added
  LEFT JOIN Exrate h ON h.Ccode = c.CurrencyCode -- added
  LEFT JOIN RoomCat i ON b.PropertyCode = i.Property AND d.rsl_roomtype = i.RoomType 
  LEFT JOIN P5FOLIOHEADER j ON J.FOH_PMSCONFIRMATIONNUMBER =    C.PMSConfirmationNumber


 LEFT JOIN
 (
   SELECT 
     ReservationStayID,
     datename(m,StayDate) + ' ' + cast(datepart(yyyy,StayDate) as varchar) as [MTH],
     count(*) AS [Nights Spent],
     avg(RateAmount) as [Rate],
     min(CreatedOn) as CreatedOn,
     min(StayDate) as [DateOfArrival],
     max(StayDate) as [DateOfDeparture]
    FROM ReservationStayDate
   GROUP BY ReservationStayID, datename(m,StayDate) + ' ' +  cast(datepart(yyyy,StayDate) as varchar)
 ) x ON x.ReservationStayID = b.ReservationStayID



  LEFT JOIN
 (
 SELECT 
         FOC_ACCOUNT,
         datename(m,FOC_DATE) + ' ' + cast(datepart(yyyy,FOC_DATE) as varchar) as [FOCMTH], 

        SUM(case FOC_TRANSACTIONCODE when 'XBEV01' then foc_netamount else 0 end) as 'NetAmount(XBEV01)',
        SUM(case FOC_TRANSACTIONCODE when 'XBEV02' then foc_netamount else 0 end) as 'NetAmount(XBEV02)',
        SUM(case FOC_TRANSACTIONCODE when 'XBEV03' then foc_netamount else 0 end) as 'NetAmount(XBEV03)'
        SUM(case FOC_TRANSACTIONCODE when 'XFOOD1' then foc_netamount else 0 end) as 'NetAmount(XFOOD1)',
        SUM(case FOC_TRANSACTIONCODE when 'XFOOD2' then foc_netamount else 0 end) as 'NetAmount(XFOOD2)'

 FROM P5FOLIOCHARGE

 GROUP BY FOC_ACCOUNT, datename(m,FOC_DATE) + ' ' + cast(datepart(yyyy,FOC_DATE) as varchar)

) y ON y.FOC_ACCOUNT = j.FOH_ACCOUNT

更新：这是我的Pivot查询（基于Merely Useful提出的解决方案）并且它有效。我创建了一个VIEW表（HOLDINGS3）并进行了一个数据透视查询以进入VIEW：

    (SELECT ReservationStayID,
            PropertyCode,
            [Beverage Charge],
            [Food Charge]

    FROM (SELECT 
          ReservationStayID,
          PropertyCode,
          RevenueType,
          FOC_NETAMOUNT

      FROM HOLDINGS3

    )ab

      PIVOT (SUM(foc_netamount)

      FOR RevenueType IN ([Beverage Charge], [Food Charge]
         )) as pvt)

Answer 1

我们走了。你的查询很长，所以这可能不起作用，但希望它会给你一个想法。这一部分阻碍了你：

SELECT 
         FOC_ACCOUNT,
         datename(m,FOC_DATE) + ' ' + cast(datepart(yyyy,FOC_DATE) as varchar) as [FOCMTH], 

        SUM(case FOC_TRANSACTIONCODE when 'XBEV01' then foc_netamount else 0 end) as 'NetAmount(XBEV01)',
        SUM(case FOC_TRANSACTIONCODE when 'XBEV02' then foc_netamount else 0 end) as 'NetAmount(XBEV02)',
        SUM(case FOC_TRANSACTIONCODE when 'XBEV03' then foc_netamount else 0 end) as 'NetAmount(XBEV03)'
        SUM(case FOC_TRANSACTIONCODE when 'XFOOD1' then foc_netamount else 0 end) as 'NetAmount(XFOOD1)',
        SUM(case FOC_TRANSACTIONCODE when 'XFOOD2' then foc_netamount else 0 end) as 'NetAmount(XFOOD2)'

你最好离开桌子，离开你的新额外表，然后转出你需要的列。

USE MyDatabase
SELECT <<ALL THE DESCRIPTIVE COLUMNS YOU NEED>>,
[Beverage Charge],
[Food Charge]
FROM
(
SELECT 
  x.[ReservationStayID],
  b.PropertyCode,
  c.PMSConfirmationNumber,
  j.FOH_PMSCONFIRMATIONNUMBER,
  y.FOC_ACCOUNT,
   .......  
  b.GuestCount AS 'Total Guest',
  x.[Nights Spent] AS 'Room Nights',
  x.[MTH],
  x.[Rate] AS 'Room Rate WITH VAT',
  c.CurrencyCode, --added
  h.ROE AS 'Rate of Exchange', 
  (x.[Nights Spent]*x.[Rate]*h.[ROE])/NULLIF(1.15,0) AS 'PkgRevenue, Excl. VAT', 
  ((x.[Nights Spent]*x.[Rate]*h.[ROE])/1.15)/NULLIF((b.GuestCount*x.[Nights Spent]),0) AS 'GADR, Excl. VAT', 
  x.CreatedOn,
  x.[DateOfArrival],
  x.[DateOfDeparture],

  e.TravelAgencyTypeCode AS 'Source of Business', 
  c.TAProfileID, 
  e.Name AS 'Tour Operator',
  g.CountryGroup AS 'Market',
  c.TAProfileID2, --added
  e2.Name AS 'Booking Origin (1)', 
  g2.CountryGroup AS 'Booking Origin (2)',
  RevenueType,
  foc_netamount


  FROM GuestNameInfo a
  JOIN GuestStaySummary b ON a.ReservationStayID = b.ReservationStayID
  LEFT JOIN ReservationStay c ON c.ReservationStayID = b.ReservationStayID
  LEFT JOIN P5RESERVATIONLIST d ON d.rsl_code = b.ReservationStayID 
  LEFT JOIN TravelAgency e ON e.TravelAgencyID = c.TAProfileID 
  LEFT JOIN Market g ON e.CountryCode = g.CountryCode --added
  LEFT JOIN TravelAgency e2 ON e2.TravelAgencyID = c.TAProfileID2
  LEFT JOIN Market g2 ON e2.CountryCode = g2.CountryCode --added
  LEFT JOIN Exrate h ON h.Ccode = c.CurrencyCode -- added
  LEFT JOIN RoomCat i ON b.PropertyCode = i.Property AND d.rsl_roomtype = i.RoomType 
  LEFT JOIN P5FOLIOHEADER j ON J.FOH_PMSCONFIRMATIONNUMBER =    C.PMSConfirmationNumber


 LEFT JOIN
 (
   SELECT 
     ReservationStayID,
     datename(m,StayDate) + ' ' + cast(datepart(yyyy,StayDate) as varchar) as [MTH],
     count(*) AS [Nights Spent],
     avg(RateAmount) as [Rate],
     min(CreatedOn) as CreatedOn,
     min(StayDate) as [DateOfArrival],
     max(StayDate) as [DateOfDeparture]
    FROM ReservationStayDate
   GROUP BY ReservationStayID, datename(m,StayDate) + ' ' +  cast(datepart(yyyy,StayDate) as varchar)
 ) x ON x.ReservationStayID = b.ReservationStayID

LEFT JOIN PSFOLIOCHARGE
    ON PSFOLIOCHARGE.FOC_ACCOUNT = j.FOH_ACCOUNT

LEFT JOIN Extras 
    on Extras.Code = PSFOLIOCHARGE.FOC_TRANSACTION_CODE
)vals
PIVOT ( SUM( foc_netamount) FOR (RevenueType IN([Beverage Charge],[Food Charge]) AS pvt

如果在没有修改数据库的情况下运行，我会感到非常惊讶，因为我没有办法测试它没有重新创建你的表，但它应该让你知道如何继续。

如何修改现有查询以考虑自定义表中的特定列？

1 个答案: