MS Access SQL中的SUM的總和

Question

親愛的，我在MS Access SQL中有一個問題。 我有4張桌子。

在Union All和SUM之后，到此為止，我擁有SUM總數的所有COUNT。 現在，我需要按行和按列的所有SUM的SUM。 謝謝您的幫助。

當前結果：

 ID Name  5/1/2018 5/2/2018 5/3/2018 Count
-- ----- -------- -------- -------- -----
1  Susan       20       30       45     3
2  Juan        15       70              2
3  Tracy       50       60       40     3
4  Jenny       60       8        60     3
5  Bill                         100     1

預期結果：

ID Name  5/1/2018 5/2/2018 5/3/2018 Count E_Total
-- ----- -------- -------- -------- ----- -------
1  Susan       20       30       45     3    95
2  Juan        15       70              2    85
3  Tracy       50       60       40     3   150
4  Jenny       60       8        60     3   128
5  Bill                         100     1   100
D_Total       145       168     245         558

當前查詢：

select es.EmpID, es.FirstName, 
   sum(switch(es.DateS = #5/1/2018#, es.Amount)) AS [5/1/2018], 
   sum(switch(es.DateS = #5/2/2018#, es.Amount)) AS [5/2/2018],
   sum(switch(es.DateS = #5/3/2018#, es.Amount)) AS [5/3/2018],
   (max(iif(es.DateS = #5/1/2018#, 1, 0)) +
    max(iif(es.DateS = #5/2/2018#, 1, 0)) +
    max(iif(es.DateS = #5/3/2018#, 1, 0))
   ) as num_dates      
from (
select e.EmpID, e.FirstName, s.DateS, s.Amount 
      from Employee as e inner join
           Sale as s on ( s.EmployeeID = e.EmpID AND s.Amount IS NOT NULL)
      where s.DateS between #5/1/2018# and #5/3/2018#
      union all
      select e1.EmpID, e1.FirstName, s1.DateS, s1.Amount 
      from Employee1 as e1 inner join
           Sale1 as s1 on ( s1.EmployeeID = e1.EmpID and s1.Amount IS NOT NULL)
      where s1.DateS between #5/1/2018# and #5/3/2018#
     ) as es
group by es.EmpID, es.FirstName 
order by es.EmpID;

我這里有表格和查詢。
如圖所示，列“ E_Total”和行“ D_Total”正是我所需要的。或者，我應該在這里停止並在VB.NET中對DataGridView進行編程以完成這項工作嗎？非常感謝您的幫助或建議。

Answer 1

您實際上是在計算哪些列不為空。 因為要在一行中計數，所以最簡單的方法就是使用IIF語句：

SELECT DISTINCT EmpID, FirstName, 
 Sum(Switch(q.DateS = #5/1/2018#, q.Amount)) AS [5/1/2018], 
 Sum(Switch(q.DateS = #5/2/2018#, q.Amount)) AS [5/2/2018],
 Sum(Switch(q.DateS = #5/3/2018#, q.Amount)) AS [5/3/2018]
 Iif(Sum(Switch(q.DateS = #5/1/2018#, q.Amount)) Is Not Null, 1, 0) +
 Iif(Sum(Switch(q.DateS = #5/2/2018#, q.Amount)) Is Not Null, 1, 0) +
 Iif(Sum(Switch(q.DateS = #5/3/2018#, q.Amount)) Is Not Null, 1, 0) As [Count]
FROM 
( 
    SELECT u1.EmpID, u1.FirstName, a1.DateS, a1.Amount 
    FROM Employee AS u1 
    INNER JOIN Sale AS a1 
       ON (a1.EmployeeID = u1.EmpID AND a1.Amount IS NOT NULL) 
    WHERE a1.DateS BETWEEN #5/1/2018# AND #5/3/2018#

    UNION ALL 

    SELECT u2.EmpID, u2.FirstName, a2.DateS, a2.Amount 
    FROM Employee1 AS u2 
    INNER JOIN Sale1 a2 ON (a2.EmployeeID = u2.EmpID AND a2.Amount IS NOT NULL) 
    WHERE a2.DateS BETWEEN #5/1/2018# AND #5/3/2018#

) AS q 
GROUP BY q.EmpID, q.FirstName 
ORDER BY q.EmpID;

請注意，有時在與其他計算出的列進行計算時可以參考列名，例如Iif([5/1/2018] Is Not Null 。我不知道Access中何時允許和不允許的具體時間。 ，所以我傾向於避免這種情況。

Answer 2

在另一個數據庫中，您將使用count(distinct) 。 這不是MS Access中的選項。

我可以這樣寫：

select es.EmpID, es.FirstName, 
   sum(switch(es.DateS = #5/1/2018#, es.Amount)) AS [5/1/2018], 
   sum(switch(es.DateS = #5/2/2018#, es.Amount)) AS [5/2/2018],
   sum(switch(es.DateS = #5/3/2018#, es.Amount)) AS [5/3/2018],
   (max(iif(es.DateS = #5/1/2018#, 1, 0)) +
    max(iif(es.DateS = #5/2/2018#, 1, 0)) +
    max(iif(es.DateS = #5/3/2018#, 1, 0))
   ) as num_dates      
from (
  select e.EmpID, e.FirstName, s.DateS, s.Amount 
  from Employee as e inner join
       Sale as s on (s.EmployeeID = e.EmpID AND s.Amount IS NOT NULL)
  where s.DateS between #5/1/2018# and #5/3/2018#
  union all
  select e1.EmpID, e1.FirstName, s1.DateS, s1.Amount 
  from Employee1 as e1 inner join
       Sale1 as s1 on (s1.EmployeeID = e1.EmpID and s1.Amount IS NOT NULL)
  where s1.DateS between #5/1/2018# and #5/3/2018#
 ) as es
group by es.EmpID, es.FirstName 
order by es.EmpID;

筆記：

• select distinct幾乎從未與group by 。 在這種情況下，您當然不需要它。
• 當給表別名時，請使用表縮寫作為別名。 它使查詢容易得多。
• 限定所有列名，而不僅僅是其中一些。