由多個小組通過查詢創建的查詢花費數小時的時間運行

我不是數據庫人員，而且是我辦公室中可以理解任何SQL或ACCESS的唯一人員之一。因此，我已成爲去。由多個小組通過查詢創建的查詢花費數小時的時間運行

我有一張擁有超過3000萬條記錄的表，並試圖創建一個使用多個查詢組來創建的查詢。唯一的問題是運行需要幾個小時，我不確定如何提高其性能。這是第一個查詢的示例：

SELECT  dbo.Characteristics.TagCode, dbo.Characteristics.[Release Date/Time], 
      dbo.All_data.HD, MIN(dbo.All_data.[Date/Time]) AS [MinOfDate/Time], 
      MAX(dbo.All_data.[Date/Time]) AS [MaxOfDate/Time], 
      dbo.Detection_Sites.Site, dbo.Detection_Sites.Description, 
      DATEDIFF(second, 
        dbo.Characteristics.[Release Date/Time], 
        MIN(dbo.All_data.[Date/Time]) 
        ) AS TravelTime_101 
FROM   dbo.All_data 
INNER JOIN dbo.Detection_Sites 
      ON dbo.All_data.HD = dbo.Detection_Sites.[Hydrophone Number] 
INNER JOIN dbo.Characteristics 
      ON dbo.All_data.Tagcode = dbo.Characteristics.TagCode 
GROUP BY dbo.Characteristics.TagCode, dbo.Characteristics.[Release Date/Time], 
     dbo.All_data.HD, dbo.Detection_Sites.Site, 
     dbo.Detection_Sites.Description 
HAVING (dbo.All_data.HD = 101)

所有通過查詢另一組是相似的，唯一的區別是在具有HD（dbo.All_data.HD = 101）是不同的。然後我試圖把它們全部拉到一起來創造一個輸出。

SELECT dbo.Characteristics.TagCode, dbo.Characteristics.Release, 
     dbo.Characteristics.[Release Date/Time], 
     dbo.Mayfield_HD101_First_Last_Detections.[MinOfDate/Time] AS HD101_First_Detection, 
     dbo.Mayfield_HD101_First_Last_Detections.TravelTime_101, 
     dbo.Mayfield_HD101_First_Last_Detections.[MaxOfDate/Time] AS HD101_Last_Detection, 
     dbo.Mayfield_HD102_First_Last_Detections.[MinOfDate/Time] AS HD102_First_Detection, 
     dbo.Mayfield_HD102_First_Last_Detections.TravelTime_102, 
     dbo.Mayfield_HD102_First_Last_Detections.[MaxOfDate/Time] AS HD102_Last_Detection, 
     dbo.Mayfield_HD203_First_Last_Detections.[MinOfDate/Time] AS HD203_First_Detection, 
     dbo.Mayfield_HD203_First_Last_Detections.TravelTime_203, 
     dbo.Mayfield_HD203_First_Last_Detections.[MaxOfDate/Time] AS HD203_Last_Detection, 
     dbo.Recollected_MDC_HD204_Last_Detection.[MaxOfDate/Time] AS HD204_Recollected_Last_Detection, 
     dbo.Recollected_MDC_HD204_Last_Detection.Recollected AS Recollected_Travel_Time, 
     dbo.Barrier_First_Last_Detections.[MinOfDate/Time] AS BD_First_Detection, dbo.Barrier_First_Last_Detections.TravelTime_BD, 
     dbo.Barrier_First_Last_Detections.[MaxOfDate/Time] AS BD_Last_Detection, 
     dbo.Hatchery_First_Last_Detections.[MinOfDate/Time] AS TH_First_Detection, dbo.Hatchery_First_Last_Detections.TravelTime_TH, 
     dbo.Hatchery_First_Last_Detections.[MaxOfDate/Time] AS TH_Last_Detection, dbo.Characteristics.FishStatus, dbo.Characteristics.DNCO, 
     dbo.Characteristics.Upstream, dbo.Characteristics.Tagger 
    FROM dbo.Characteristics 
    LEFT OUTER JOIN 
     dbo.Mayfield_HD203_First_Last_Detections 
      ON dbo.Characteristics.TagCode = dbo.Mayfield_HD203_First_Last_Detections.TagCode 
    LEFT OUTER JOIN 
     dbo.Barrier_First_Last_Detections 
      ON dbo.Characteristics.TagCode = dbo.Barrier_First_Last_Detections.TagCode 
    LEFT OUTER JOIN 
     dbo.Recollected_MDC_HD204_Last_Detection 
      ON dbo.Characteristics.TagCode = dbo.Recollected_MDC_HD204_Last_Detection.TagCode 
    LEFT OUTER JOIN 
     dbo.Mayfield_HD102_First_Last_Detections 
      ON dbo.Characteristics.TagCode = dbo.Mayfield_HD102_First_Last_Detections.TagCode 
    LEFT OUTER JOIN 
     dbo.Hatchery_First_Last_Detections 
      ON dbo.Characteristics.TagCode = dbo.Hatchery_First_Last_Detections.TagCode 
    LEFT OUTER JOIN 
     dbo.Mayfield_HD101_First_Last_Detections 
      ON dbo.Characteristics.TagCode = dbo.Mayfield_HD101_First_Last_Detections.TagCode 
    WHERE  (NOT (dbo.Characteristics.FishStatus LIKE N'mort')) 
    AND (dbo.Characteristics.DNCO IS NULL) 
    AND (dbo.Characteristics.Upstream IS NULL)

謝謝任何幫助，你可以給我！

加法！
我已經接近一些，但遇到了一個問題。如果我沒有在組中輸入a。[Date/Time]，我會得到以下錯誤：列'a.Date/Time'在選擇列表中無效，因爲它不包含在聚合函數或GROUP BY子句。但是如果我把a。[日期/時間]我得到所有的日期時間，而不是HD = 101的最小/最大值。

Select 
    c.TagCode, 
    c.Release, 
    c.[Release Date/Time], 
    MIN (CASE a.HD WHEN 101 THEN a.[Date/Time]ELSE Null END) AS HD101_First_Detection, 
    datediff(second, c.[Release Date/Time], a.[Date/Time]) AS TravelTime_101, 
    MAX (CASE a.HD WHEN 101 THEN a.[Date/Time]ELSE Null END) AS HD101_Last_Detection, 
    c.FishStatus, 
    c.DNCO, 
    c.Upstream, 
    c.Tagger 
From 
    dbo.All_data a 
     inner join 
    dbo.Characteristics c 
     on a.Tagcode = c.TagCode 
Where 
    HD In (101) And 
    Not c.FishStatus like N'mort' And 
    c.DNCO is null and 
    c.Upstream is null 
Group By 
    c.TagCode, 
    c.Release, 
    c.[Release Date/Time], 
    c.FishStatus, 
    c.DNCO, 
    c.Upstream, 
    c.Tagger, 
    a.[Date/Time]

來源

2013-11-14 Barb

自從我使用Access以來已經很長時間了，但是我認爲您需要將'have dbo.All_data.HD = 101'更改爲'where dbo.All_data.HD = 101'（並且將其移到組之前）。該條款將不會被應用，直到查詢的其餘部分處理完畢。所以它會每隔一段時間旋轉所有行，然後去掉那些與之不匹配的行。 – Andrew

您在Microsoft Access中擁有30萬行表格！ – Gerrat

我在想（希望！）Access是SQL Server數據庫的前端。 – Andrew

看來你可能能夠結合你的一些查詢。假設第一個查詢梅菲爾德視圖的例子，那麼你可以將前四個一樣（可能是語法錯誤）：

Select 
    c.TagCode, 
    c.Release, 
    c.[Release Date/Time], 
    min(IIf(a.HD = 101, a.[Date/Time], Null)) AS HD101_First_Detection, 
    datediff(second, c.[Release Date/Time], min(IIf(a.HD = 101, a.[Date/Time], Null)) as TravelTime_101, 
    max(IIf(a.HD = 101, a.[Date/Time], Null)) AS HD101_Last_Detection, 
    min(IIf(a.HD = 102, a.[Date/Time], Null)) AS HD102_First_Detection, 
    datediff(second, c.[Release Date/Time], min(IIf(a.HD = 102, a.[Date/Time], Null)) as TravelTime_102, 
    max(IIf(a.HD = 102, a.[Date/Time], Null)) AS HD102_Last_Detection, 
    min(IIf(a.HD = 203, a.[Date/Time], Null)) AS HD102_First_Detection, 
    datediff(second, c.[Release Date/Time], min(IIf(a.HD = 203, a.[Date/Time], Null)) as TravelTime_203, 
    max(IIf(a.HD = 203, a.[Date/Time], Null)) AS HD102_Last_Detection, 
    min(IIf(a.HD = 204, a.[Date/Time], Null)) AS HD204_First_Detection, 
    datediff(second, c.[Release Date/Time], min(IIf(a.HD = 204, a.[Date/Time], Null)) as TravelTime_204, 
    max(IIf(a.HD = 204, a.[Date/Time], Null)) AS HD204_Last_Detection, 
    c.FishStatus, 
    c.DNCO, 
    c.Upstream, 
    c.Tagger 
From 
    dbo.All_data a 
     inner join 
    dbo.Characteristics c 
     on a.Tagcode = c.TagCode 
Where 
    HD In (101, 102, 203, 204) And 
    Not c.FishStatus like N'mort' And 
    c.DNCO is null and 
    c.Upstream is null 
Group By 
    c.TagCode, 
    c.Release, 
    c.[Release Date/Time], 
    c.FishStatus, 
    c.DNCO, 
    c.Upstream, 
    c.Tagger

上All_data (TagCode, HD, [Date/Time])的指數應該在這方面幫助。

來源

2013-11-15 00:21:26 Laurence

我把你的建議和你的建議做了很大的區別。 10分鐘而不是3小時。謝謝！！ – Barb

由多個小組通過查詢創建的查詢花費數小時的時間運行

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