當組中的任何值爲0時，將組內的所有值設置爲0

Question

如果組中的任何值爲0，我想掃描表並將組內的值重新賦值爲0。通過搜索Group By,Partition和Any的各種組合來找出解決方案。

我開始看起來像

CREATE TABLE #QP 
(
    [Method] VARCHAR(1), 
    [Station] VARCHAR(1), 
    [Instrument] VARCHAR(20), 
    [LastAnalysis] DATE, 
    [DaysPassed] INT 
) 

INSERT INTO #QP 
(Method, Station, Instrument, LastAnalysis, DaysPassed) 
VALUES 
('A', 1, 'Polaris', '2016-07-19', 21), 
('B', 1, 'Polaris', '2016-08-04', 5), 
('C', 1, 'Polaris', '2016-07-31', 9), 
('A', 2, 'Polaris', '2016-07-31', 9), 
('B', 2, 'Polaris', '2016-08-09', 0), 
('C', 2, 'Polaris', '2016-07-23', 17), 
('A', 3, 'Polaris', '2016-08-09', 0), 
('B', 3, 'Polaris', '2016-07-27', 13), 
('C', 3, 'Polaris', '2016-07-19', 21) 

而且我想結果顯示爲數據（包括爲便於解釋換行符）

Method Station Instrument LastAnalysis DaysPassed Weight 
A    1 Polaris 2016-07-19   21  21 
B    1 Polaris 2016-08-04   5  5 
C    1 Polaris 2016-07-31   9  6 

A    2 Polaris 2016-07-31   9  0 
B    2 Polaris 2016-08-09   0  0 
C    2 Polaris 2016-07-23   17  0 

A    3 Polaris 2016-08-09   0  0 
B    3 Polaris 2016-07-27   13  0 
C    3 Polaris 2016-07-19   21  0 

我已經得到的最接近的到目前爲止使用的是

SELECT *, 
    CASE WHEN 0 = ANY(SELECT DaysPassed FROM #QP) THEN 0 ELSE DaysPassed END AS [Weight] 
FROM #QP 
WHERE Instrument = 'Polaris' 
ORDER BY Station, Method 

但是這設定了每個值在Weight co lumn爲0，Station組中的值應保持原樣。

如果這有一個答案，我很想知道正確的搜索條件來找到它。

Answer 1

我認爲使用min()窗口函數將工作。試試看：

SELECT *, 
     case when min(DaysPassed) over (partition by station) = 0 then 0 else DaysPassed end as [Weight] 
FROM #QP 
WHERE Instrument = 'Polaris' 
ORDER BY Station, Method 

Answer 2

SELECT * 
     ,Weight= Sign(min(DaysPassed) over (Partition By Station)) * DaysPassed 
FROM #QP 
WHERE Instrument = 'Polaris' 
ORDER BY Station, Method 

返回

Method Station Instrument LastAnalysis DaysPassed Weight 
A  1  Polaris  2016-07-19  21   21 
B  1  Polaris  2016-08-04  5   5 
C  1  Polaris  2016-07-31  9   9 
A  2  Polaris  2016-07-31  9   0 
B  2  Polaris  2016-08-09  0   0 
C  2  Polaris  2016-07-23  17   0 
A  3  Polaris  2016-08-09  0   0 
B  3  Polaris  2016-07-27  13   0 
C  3  Polaris  2016-07-19  21   0