Question

我最近做了一个SQL PIVOT，我发现它不太正常。这是我正在使用的

SQL Server 2005 使用供应商视图的供应商数据库 - 我无法创建额外的表或视图或直接查询数据表（长篇故事）

我每月查询一组包含多个条目的数据，并将其与第二组结合起来制作我称之为数据集的数据集。我正在使用CASE WHEN分组对象（即dbid 1,7和10的结果是'a'，2,3和9是'b'等。

我正在转动数据集以按月显示总量。

我的问题在于其中一个列，它没有计算数据集中的所有结果，这些结果似乎是一年中的一个月。仔细研究后，我发现缺少的数据似乎是两行数据在下面的查询中对N_Entered具有相同值的情况。

我设法使用通用查询重建问题（如下所示）。我在sql server express 2008 r2和sql server 2005上运行这个，我得到了相同的结果 - 这是

Begin_Time Totals A Apples B香蕉香蕉C胡萝卜胡萝卜D狗狗 2014-02-01 00：00：00.000 174732 44000 4591 581 208

2014年2月的B总和为4594，但此查询返回4591.您会注意到表2中“2”的两个条目，其中“3”为N_Entered。

如果我删除了用table2对数据集进行联合的部分 - 我得到了正确的答案--4594。

我的100万美元的问题是

如何在数据透视中获得正确的结果？
为了我自己的学习 - 我做错了什么？

此代码与我的生产查询之间存在差异

我从生产中的视图中选择而不是使用表变量生产跨度超过一年的结果，我只是保留了'datediff条款，尽量保持尽可能接近。

非常感谢！

declare @vartable as table (Begin_Time DateTime, Letter varchar(30), N_Entered int) 
declare @vartable2 as table (Begin_Time DateTime, Letter varchar(30), N_Entered int) 

--populate first table
insert into @vartable (Begin_Time, Letter, N_Entered) Values ('2014-02-01 00:00:00', 'D', 125) 
insert into @vartable (Begin_Time, Letter, N_Entered) Values ('2014-02-01 00:00:00', 'B', 2519) 
insert into @vartable (Begin_Time, Letter, N_Entered) Values ('2014-02-01 00:00:00', 'A', 23) 
insert into @vartable (Begin_Time, Letter, N_Entered) Values ('2014-02-01 00:00:00', 'A', 271) 
insert into @vartable (Begin_Time, Letter, N_Entered) Values ('2014-02-01 00:00:00', 'B', 9) 
insert into @vartable (Begin_Time, Letter, N_Entered) Values ('2014-02-01 00:00:00', 'B', 3) 
insert into @vartable (Begin_Time, Letter, N_Entered) Values  ('2014-02-01 00:00:00', 'B', 37) 
insert into @vartable (Begin_Time, Letter, N_Entered) Values ('2014-02-01 00:00:00', 'A', 357) 
insert into @vartable (Begin_Time, Letter, N_Entered) Values ('2014-02-01 00:00:00', 'A', 24230) 
insert into @vartable (Begin_Time, Letter, N_Entered) Values ('2014-02-01 00:00:00', 'A', 9) 
insert into @vartable (Begin_Time, Letter, N_Entered) Values ('2014-02-01 00:00:00', 'D', 83) 
insert into @vartable (Begin_Time, Letter, N_Entered) Values ('2014-02-01 00:00:00', 'B', 1998) 
insert into @vartable (Begin_Time, Letter, N_Entered) Values ('2014-02-01 00:00:00', 'A', 13) 
insert into @vartable (Begin_Time, Letter, N_Entered) Values ('2014-02-01 00:00:00', 'A', 217) 
insert into @vartable (Begin_Time, Letter, N_Entered) Values ('2014-02-01 00:00:00', 'B', 3) 
insert into @vartable (Begin_Time, Letter, N_Entered) Values ('2014-02-01 00:00:00', 'B', 1) 
insert into @vartable (Begin_Time, Letter, N_Entered) Values ('2014-02-01 00:00:00', 'B', 24) 
insert into @vartable (Begin_Time, Letter, N_Entered) Values ('2014-02-01 00:00:00', 'A', 212) 
insert into @vartable (Begin_Time, Letter, N_Entered) Values ('2014-02-01 00:00:00', 'A', 18656) 
insert into @vartable (Begin_Time, Letter, N_Entered) Values ('2014-02-01 00:00:00', 'A', 12) 
insert into @vartable (Begin_Time, Letter, N_Entered) Values ('2014-02-01 00:00:00', 'C', 272) 
insert into @vartable (Begin_Time, Letter, N_Entered) Values ('2014-02-01 00:00:00', 'C', 309) 

--populate second table
insert into @vartable2 (Begin_Time, Letter, N_Entered) Values ('2014-02-01 00:00:00', 'T',  1009) 
insert into @vartable2 (Begin_Time, Letter, N_Entered) Values ('2014-02-01 00:00:00', 'T', 90810) 
insert into @vartable2 (Begin_Time, Letter, N_Entered) Values ('2014-02-01 00:00:00', 'T', 198) 
insert into @vartable2 (Begin_Time, Letter, N_Entered) Values ('2014-02-01 00:00:00', 'T', 253) 
insert into @vartable2 (Begin_Time, Letter, N_Entered) Values ('2014-02-01 00:00:00', 'T', 447) 
insert into @vartable2 (Begin_Time, Letter, N_Entered) Values ('2014-02-01 00:00:00', 'T', 829) 
insert into @vartable2 (Begin_Time, Letter, N_Entered) Values ('2014-02-01 00:00:00', 'T', 80427) 
insert into @vartable2 (Begin_Time, Letter, N_Entered) Values ('2014-02-01 00:00:00', 'T', 152) 
insert into @vartable2 (Begin_Time, Letter, N_Entered) Values ('2014-02-01 00:00:00', 'T', 149) 
insert into @vartable2 (Begin_Time, Letter, N_Entered) Values ('2014-02-01 00:00:00', 'T', 458) 

SELECT * FROM 
(SELECT Begin_Time, 
CASE Letter 
        WHEN 'A' THEN 'A Apples' 
        WHEN 'B' THEN 'B Banana Bananas' 
        WHEN 'C' THEN 'C Carrot Carrots' 
        WHEN 'D' THEN 'D Dog Dogs' 
ELSE Letter 
END 'Option Selected' 
, N_Entered 
From @vartable 
WHERE (Datediff(month, begin_time, getdate()) Between 1 and 12) 
AND Letter IN ( 'A', 'B', 'C', 'D' )  -- end first select 

--removing this union section does give the right answer

UNION 
( 
SELECT Begin_Time, 'Totals' as 'Total Numbers', Sum(N_Entered) As N_Entered 
        FROM @vartable2 
                WHERE   

                          Letter IN ('T') 
                         AND (Datediff(month, begin_time, getdate()) Between 1 and 12) 
                GROUP BY begin_time 
        )  -- end second select 

-- end of union section

) As Data 

PIVOT 

( 
SUM(N_ENTERED) 
FOR [Option Selected] IN ([Totals], [A Apples], [B Banana Bananas], [C Carrot Carrots], [D Dog Dogs]) 
) 
As PivotTable;

Answer 1

将Union替换为Union ALL

Union正在消除重复值，即B中的值3. Union ALL认为它。

SQL Pivot没有总结所有结果

1 个答案: