我一直在寻找一个联合两个表并计算其条目的解决方案，这就是我找到这段代码的原因： Access union & count
但是，我还需要对其进行过滤并添加标准。
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
表类型
Type Team
A Team1
B Team2
我能够编码（如果Item1有03-08-17和03-08-17的条目我有两行）：
Items Count_Action_A Count_Action_B Date_A Date_B
Item1 1 1 Week30 Week31
Item1 1 0 Week31 Week31
and so on
我需要以下表格和标准，只显示同一周内添加的条目（合并同一周内某个项目的条目）
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，因为稍后我想制作一个图表并由团队过滤，如果可能的话，还要过滤一周。（显示第30周的作品，或者从第30周和第31周开始）
我的代码（没有Team专栏，但是几周显示我）：
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.
修改
因此，似乎我需要在Date_A和Date_B中的同一周内在给定的行中。
现在我有这种情况：
Items Count_Action_A Count_Action_B Week_A Week_B Team
Item1 1 1 Week31 Week31 Team1
Item1 1 1 Week31 Week32 Team1
我需要将Action_A和Action_B结合到相同的几周内，如下所示：
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：
我已将表格类型更改为Type_Tbl，现在有两列：Type_Typ和Team。在表Inventory中，我将列Type更改为Type_Inv。据我所知，目前我还没有使用任何受限制的SQL词。问题在于您的第二个查询，我收到了消息＆＃34;参考字段＆＃34; Team＆＃34;可以引用FROM函数＆＃34;中列出的多个表。
修改后的第一个查询（第二个查询没有变化）。
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;
答案 0 :(得分：1)
编辑回答： 我们将采取两步法。
步骤1：规范化数据，加入团队，避免使用SQL关键字作为列名。将此查询保存为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：正确地非规范化并计算数据
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