的MS Access联盟数据过滤器和标准

我一直在寻找一个解决方案，联合两个表，并计算其条目，这就是为什么我发现这段代码： Access union & count 的MS Access联盟数据过滤器和标准

但是，由于它的工作原理，我还需要过滤它并添加一个标准。

我有什么：

表库存

Action_A Date_Action_A Action_B Date_Action_B Type 
Item1 Date   Item2 Date   A 
Item2 Date   Item5 Date   A 
Item3 Date   Item3 Date   B 
and so on, all combinations

表型

Type Team 
A Team1 
B Team2

我能代码（如果项目1具有从17年3月8日和条目03- 08-17我有两排）：

Items Count_Action_A Count_Action_B Date_A Date_B 
Item1 1    1    Week30 Week31 
Item1 1    0    Week31 Week31 
and so on

我需要下表和标准，只有在同一个星期添加的条目显示（关于同一个星期内一项项合并）

Items Count_Action_A Count_Action_B Date_A Date_B Team 
Item1 2    1    Week31 Week31 Team1 
Item2 0    2    Week31 Week31 Team2

我需要这个，因为后来我想打一个图表和过滤器由一个团队，如果可能的话，还通过一个星期（从week30显示的条目，或从week30和31）过滤

我的代码（缺少团队柱，butit显示我周）：

SELECT Items, Date_A, Date_B, COUNT(A_Type) AS Count_Action_A, COUNT(B_Type) AS Count_Action_B, DatePart("ww",[Date_A]) AS Week_A, DatePart("ww",[Date_B]) AS Week_B 
FROM (SELECT Action_A as Items, Date_Action_A as Date_A, Date_Action_B as Date_B, 1 AS A_Type, NULL AS B_Type FROM Inventory 
     UNION ALL 
     SELECT Action_B, Date_Action_B, Date_Action_A, NULL, 1 FROM Inventory) 
WHERE Items IS NOT NULL 
GROUP BY Items, Date_A, Date_B 
ORDER BY Items;

What is in the table and what is displayed on the graph, it does not work as intended.

编辑

如此看来，我需要总是在一个给定的线的同一个星期都在Date_A和Date_B。

现在，我有这样的情况：

Items Count_Action_A Count_Action_B Week_A Week_B Team 
Item1 1    1    Week31 Week31 Team1 
Item1 1    1    Week31 Week32 Team1

我需要Action_A和Action_B合并到同一个星期，像这样：

Items Count_Action_A Count_Action_B Week_A Week_B Team 
Item1 2    1    Week31 Week31 Team1 
Item1 0    1    Week32 Week32 Team1

这可能吗？

EDIT2 分组过程：

Items Count_Action_A Count_Action_B Week_A Week_B 
Item1 1    1    Week31 Week31 - OK, stays 
Item1 1    1    Week30 Week31 - is transferred to: item1 1 0 Week30 Week30 and item1 0 1 Week31 Week31

编辑3：

我已经改变了表类型Type_Tbl，现在有两列：Type_Typ和团队。在表格Inventory中，我将列类型更改为Type_Inv。所以据我所知，目前我没有使用任何有限的SQL语言。问题出在你的第二个查询中，我得到了消息“Reference to field”Team“可以引用FROM函数中列出的多个表”。

已修改的第一个查询（第二个查询中没有更改）。

SELECT Items, TheAction, Date_Action, Week, Action_Type, AOrB, Team 
FROM (SELECT Items, Action_A As TheAction, Date_Action_A As Date_Action, DatePart("ww",[Date_Action_A]) As Week, Type_Inv As Action_Type, "A" As AOrB From Inventory 
UNION ALL 
SELECT Items, Action_B As TheAction, Date_Action_B As Date_Action, DatePart("ww",[Date_Action_B]) As Week, Type_Inv As Action_Type, "B" As AOrB 
From Inventory) AS A INNER JOIN Type_Tbl ON Type_Tbl.[Type_Type]=A.Action_Type;

来源

2017-08-03 Olmax

编辑答案：我们将采取两步法。

第1步：规范化数据，加入团队，并避免使用SQL关键字作为列名。此查询保存为NormalizedData

SELECT Items, TheAction, Date_Action, Week, Action_Type, AOrB, Team 
FROM 
(SELECT Action_A AS Items, Action_A As TheAction, Date_Action_A As Date_Action, DatePart("ww",[Date_Action_A]) As Week, [Type] As Action_Type, "A" As AOrB 
From Inventory 
UNION ALL 
SELECT Action_B AS Items, Action_B As TheAction, Date_Action_B As Date_Action, DatePart("ww",[Date_Action_B]) As Week, [Type] As Action_Type, "B" As AOrB 
From Inventory) As A INNER JOIN [Type] ON ([Type].[Type] = A.Action_Type)

第2步：正确非规范化和统计数据

SELECT A.Items, Count_Action_A, Count_Action_B, A.Week As Week_A, A.Week As Week_B, A.Team 
FROM 
(SELECT Items, Count(TheAction) As Count_Action_A, Week, Team FROM NormalizedData WHERE AOrB = "A" GROUP By Items, Team, Week) As A 
LEFT JOIN (SELECT Items, Count(TheAction) As Count_Action_B, Week, Team FROM NormalizedData WHERE AOrB = "B" GROUP By Items, Team, Week) AS B ON A.Items = B.Items AND A.Week = B.Week 
UNION 
SELECT B.Items, 0 As Count_Action_A, Count_Action_B, B.Week As Week_A, B.Week As Week_B, B.Team 
FROM 
(SELECT Items, Count(TheAction) As Count_Action_B, Week, Team FROM NormalizedData WHERE AOrB = "B" GROUP By Items, Team, Week) AS B 
LEFT JOIN (SELECT Items, Count(TheAction) As Count_Action_A, Week, Team FROM NormalizedData WHERE AOrB = "A" GROUP By Items, Team, Week) As A ON A.Items = B.Items AND A.Week = B.Week 
WHERE A.Items Is Null

来源

2017-08-03 08:51:35

的MS Access联盟数据过滤器和标准

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