最好的SQL代碼來得到這個輸出

Question

簡而言之， 我有這些表。

Planning: 
    Date | Machine | Product | PlanningParts 

OKParts: 
    Date | Machine | Product | OKParts 

Scrap: 
    Date | Machine | Product | ScrapParts 

Trials: 
    Date | Machine | Product | TrialParts 

Breakdowns: 
    Date | Machine | Product | Minutes 

這些表可以有兩個或更多記錄爲相同的[日期|機器|產品]，它們不是唯一的專欄。 獲取此輸出的最佳SQL代碼（SQLite或SQL Server）是什麼？

Output: 
    Date | Machine | Product | Planning | OKParts | ScrapParts | TrialParts | Minutes 

編輯： 在輸出中，我需要每[日期，機器，產品]一行和列的其餘部分必須是SUM （我不會說英語，對不起）

Eidted： 例子： （我不會把表「審判」，使之短）

Planning: 
    Date | Machine | Product | PlanningParts 
    1/6/12 | Blower | A001 | 100 
    2/6/12 | Blower | A002 | 100 
    2/6/12 | Assembly| B001 | 50 

OKParts: 
    Date | Machine | Product | OKParts 
    1/6/12 | Blower | A001  | 50 
    1/6/12 | Blower | A001  | 20 
    1/6/12 | Blower | A002  | 100 

Scrap: 
    Date | Machine | Product | ScrapParts | Reason 
    1/6/12 | Blower | A001  | 5   | Low Weight 
    1/6/12 | Blower | A001  | 3   | High Weight 
    2/6/12 | Assembly| B001  | 4   | Bad Cut 

Breakdowns 
    Date | Machine | Product | Minutes | Reason 
    1/6/12 | Blower | A001  | 100  | Manteinance 
    1/6/12 | Blower | A001  | 20   | Manteinance 
    2/6/12 | Assembly| B001  | 100  | Quality approval 


    OUTPUT: 
     Date | Machine | Product | Planning | OKParts | ScrapParts | Breakdowns 
     1/6/12 | Blower | A001  | 100  | 70  | 8   | 120 
     1/6/12 | Blower | A002  | 100  | 100  | 0   | 0 
     2/6/12 | Assembly| B001  | 50  | 0  | 4   | 100 

Answer 1

創建CTE unioning所有表成一個，然後用SUM aggrigate功能，添加了專欄ch日期，機器，產品組。像這樣的位（未測試）：

WITH AllParts AS (
SELECT Date, Machine, Product, PlanningParts, NULL AS OKParts, NULL AS ScrapParts, NULL AS TrialParts, NULL AS Breakdowns 
FROM Planning 
UNION ALL 
SELECT Date, Machine, Product,NULL AS PlanningParts, OKParts, NULL AS ScrapParts, NULL AS TrialParts, NULL AS Breakdowns 
FROM OKParts 
UNION ALL 
SELECT Date, Machine, Product,NULL AS PlanningParts, NULL AS OKParts, ScrapParts, NULL AS TrialParts, NULL AS Breakdowns 
FROM Scrap 
UNION ALL 
SELECT Date, Machine, Product,NULL AS PlanningParts, NULL AS OKParts, NULL AS ScrapParts, TrialParts, NULL AS Breakdowns 
FROM Trials 
UNION ALL 
SELECT Date, Machine, Product,NULL AS PlanningParts, NULL AS OKParts, NULL AS ScrapParts, TrialParts, Breakdowns 
FROM BreakDowns 
) 
SELECT 
Date, Machine, Product, SUM(OKParts) AS OKParts, SUM(ScrapParts) AS ScrapParts, SUM(TrialParts) AS TrialParts, SUM(BreakDowns) AS Breakdowns 
FROM AllParts 
GROUP BY Date, Machine, Product 

Answer 2

我很想看看如果工會後相加作爲該查詢，總結第一次執行，以及：

WITH Vals AS (
    SELECT Date, Machine, Product, 'PlanningParts' Which, Sum(PlanningParts) Value FROM Planning GROUP BY Date, Machine, Product 
    UNION ALL SELECT Date, Machine, Product, 'OKParts', Sum(OKParts) FROM OKParts GROUP BY Date, Machine, Product 
    UNION ALL SELECT Date, Machine, Product, 'ScrapParts', Sum(ScrapParts) FROM Scrap GROUP BY Date, Machine, Product 
    UNION ALL SELECT Date, Machine, Product, 'TrialParts', Sum(TrialParts) FROM Trials GROUP BY Date, Machine, Product 
    UNION ALL SELECT Date, Machine, Product, 'Minutes', Sum(Minutes) FROM Breakdowns GROUP BY Date, Machine, Product 
) 
SELECT * 
FROM Vals 
PIVOT (Max(Value) FOR Which IN (PlanningParts, OKParts, ScrapParts, TrialParts, Minutes)) P; 

啊，這是痛苦的，但這就是你從給定的數據庫設計中得到的結果。將這5個表重構爲一張表，用視圖取代這些表具有替代觸發器可能是可行的。

注意：PIVOT適用於SQL Server 2005及更高版本。但是，你甚至都不需要PIVOT：

WITH Vals AS (
    SELECT Date, Machine, Product, 'PlanningParts' Which, Sum(PlanningParts) Value FROM Planning GROUP BY Date, Machine, Product 
    UNION ALL SELECT Date, Machine, Product, 'OKParts', Sum(OKParts) FROM OKParts GROUP BY Date, Machine, Product 
    UNION ALL SELECT Date, Machine, Product, 'ScrapParts', Sum(ScrapParts) FROM Scrap GROUP BY Date, Machine, Product 
    UNION ALL SELECT Date, Machine, Product, 'TrialParts', Sum(TrialParts) FROM Trials GROUP BY Date, Machine, Product 
    UNION ALL SELECT Date, Machine, Product, 'Minutes', Sum(Minutes) FROM Breakdowns GROUP BY Date, Machine, Product 
) 
SELECT 
    Date, Machine, Product, 
    Sum(CASE Which WHEN 'PlanningParts' THEN Value END) PlanningParts, 
    Sum(CASE Which WHEN 'OKParts' THEN Value END) OKParts, 
    Sum(CASE Which WHEN 'ScrapParts' THEN Value END) ScrapParts, 
    Sum(CASE Which WHEN 'TrialParts' THEN Value END) TrialParts, 
    Sum(CASE Which WHEN 'Minutes' THEN Value END) Minutes 
FROM Vals; 

交換文本Which值整數可能會產生速度的提高。

關於我對有關表中具有日期，機器，產品值的清單的表的評論/問題，此查詢將提供這樣的清單。這樣做不會很好，但它應該給你這個想法。

WITH DistinctKeys AS (--wishing we had this as a real table 
    SELECT Date, Machine, Product FROM Planning 
    UNION SELECT Date, Machine, Product FROM OKParts 
    UNION SELECT Date, Machine, Product FROM Scrap 
    UNION SELECT Date, Machine, Product FROM Trials 
    UNION SELECT Date, Machine, Product FROM Breakdown 
) -- because then we could do this: 
SELECT 
    K.Date, K.Machine, K.Part, 
    (SELECT Sum(PlanningParts) FROM Planning X ON EXISTS (SELECT K.* INTERSECT SELECT X.Date, X.Machine, X.Product) PlanningParts 
    (SELECT Sum(OKParts) FROM OKParts X ON EXISTS (SELECT K.* INTERSECT SELECT X.Date, X.Machine, X.Product) OKParts 
    (SELECT Sum(ScrapParts) FROM Scrap X ON EXISTS (SELECT K.* INTERSECT SELECT X.Date, X.Machine, X.Product) Scrap 
    (SELECT Sum(TrialParts) FROM Trials X ON EXISTS (SELECT K.* INTERSECT SELECT X.Date, X.Machine, X.Product) TrialParts 
    (SELECT Sum(Minutes) FROM Breakdown X ON EXISTS (SELECT K.* INTERSECT SELECT X.Date, X.Machine, X.Product) Minutes 
FROM 
    DistinctKeys K; 

但坦率地說，這些連接都不會表現不如以前，我和@ jaypeagi的回答給工會。

還有一件事：不要假設性能將會是一個查詢。即使是專家也會檢查執行計劃並收集真實的IO和CPU統計數據以確定此信息。您擔心NULL會降低性能可能完全沒有根據。

如果你在[日期，機器，產品]上的表上有好的索引，那麼你可能會在UNION方法中獲得相當好的性能。