【问题标题】:How to modify my existing query to take into account a particular column from a custom made table?如何修改我现有的查询以考虑定制表中的特定列?
【发布时间】:2015-03-16 10:22:11
【问题描述】:

我使用的是 SQL Server 2014,我当前查询的摘录如下所示。我的问题与查询的最后一个 SELECT 语句有关。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,使输出如下所示:

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

我知道我需要使用“P5FolioCharge”表的“FOC_TRANSACTIONCODE”列对“Extras”表的“Code”列进行 LEFT JOIN,但我不知道如何在我的询问。 我想我需要修改查询的最后一个 SELECT 语句中的 SUM 语句。

这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 Query(基于 Merely Useful 提出的解决方案),它可以工作。我创建了一个 VIEW 表 (HOLDINGS3) 并进行了透视查询以利用 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)

【问题讨论】:

    标签: sql sql-server join left-join


    【解决方案1】:

    我们开始吧。您的查询很长,因此这可能不起作用,但希望它能给您一个想法。这部分阻碍了你:

    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)'
    

    您最好只在表格上左连接,在新的附加表上左连接,然后转出您需要的列。

    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
    

    如果它在您的数据库上未经修改就运行,我会感到非常惊讶,因为除了重新创建您的表之外,我无法对其进行测试,但它应该让您了解如何继续。

    【讨论】:

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