Question

我的表格如下：

 Customer         Error1         Error2         Error3         Error4       TotalErrors      TotalOrders
 CustomerName [SUM(Error1)]   [SUM(Error2)]  [SUM(Error3)] [SUM(Error3) [SUM(TotalErrors)]  [TotalOrders]
 Total

中间行CustomerName是在CustomerWithErrors上排序的行组的一部分，它只是告诉给定的客户名称是否包含4个错误中的任何一个。如果没有，它就不会出现在表格中。

在最后一行中，我只需右键单击并为行组中的每列添加总计。除了最后一列之外，它会按照我的要求输出每列的总和。当我添加总计时，它会为我提供所有客户名称的TotalErrors字段的总和，而不仅仅是有错误的字段（实际显示在表中的那些）。因此，数量巨大。我怎样才能得到总误差列中显示的数字总和？

编辑：以下是设计和预览模式的一些截图：

设计：http://i.imgur.com/6kEmzw3.png

预览：http://i.imgur.com/NOpWmAI.png

编辑2：SQL for TOP TABLIX：

其中一些对我来说是新的，所以它可能看起来不太好。让我知道我能解释什么。感谢。

 SELECT 
         PKEY
        ,Customer
        ,isnull(CustomerName, 'Unknown') AS CustomerName
        ,CustomerWithErrors
        ,Warehouse
        ,ErrorMessage
        ,PROCESSDATE
        ,CARTONERRORMESSAGE
        ,Division
        ,BOLNO
        ,BOLSHIPDATE
        ,CARTONDETAILERRMSG
        ,ErrorCategory
        ,CASE WHEN ErrorCategory='Success'
        THEN 0
        ELSE    
        COUNT(NotLate) 
        END AS OnTimeCount
        ,COUNT(Invalid) AS InvalidCount
        ,COUNT(WrongData) AS WrongDataCount
        ,COUNT(Duplicate) AS DuplicateCount
        ,COUNT(MissingData) AS MissingDataCount
        ,(COUNT(Invalid)+COUNT(WrongData)+COUNT(Duplicate)+COUNT(MissingData)) AS TotalErrors
        ,Total945s AS TotalReport945s
        --,COUNT(*) OVER(PARTITION BY [CustomerWithErrors]) Total945s 
        , (SELECT (Total945s) WHERE CustomerWithErrors>=0) AS TotalErrors

        FROM(

    SELECT
         PKEY
        ,Customer
        ,CASE WHEN CustomerName = '' OR CustomerName IS NULL
        THEN 'Unknown'
        ELSE CustomerName
        END AS CustomerName
        ,CASE WHEN CustomerName='' OR CustomerName IS NULL OR CustomerName='Unknown'
        THEN 0
        ELSE
        (SELECT DISTINCT Customer WHERE ErrorCategory <> 'Success') END
         AS CustomerWithErrors
        ,Warehouse
        ,ErrorMessage
        ,PROCESSDATE
        ,CARTONERRORMESSAGE
        ,Division
        ,BOLNO
        ,BOLSHIPDATE
        ,CARTONDETAILERRMSG
        ,ErrorCategory
        ,CASE WHEN ErrorCategory='Success'
        THEN 'N'
        ELSE OnTime         
        END AS OnTime
        ,(SELECT Customer WHERE OnTime = 'Y') AS NotLate
        ,(SELECT Customer WHERE ErrorCategory = 'Invalid') AS Invalid
        ,(SELECT Customer WHERE ErrorCategory = 'Wrong Data') AS WrongData
        ,(SELECT Customer WHERE ErrorCategory = 'Duplicate') AS Duplicate
        ,(SELECT Customer WHERE ErrorCategory = 'Missing Data') AS MissingData
        , COUNT(*) OVER(PARTITION BY [Customer]) Total945s



    FROM EDI945UTIErrors


    ) S


        GROUP BY
         PKEY
        ,Customer
        ,CustomerName
        ,CustomerWithErrors
        ,Warehouse
        ,ErrorMessage
        ,PROCESSDATE
        ,CARTONERRORMESSAGE
        ,Division
        ,BOLNO
        ,BOLSHIPDATE
        ,CARTONDETAILERRMSG
        ,ErrorCategory
        ,OnTime
        ,Total945s

编辑3：SQL with PIVOT：这看起来像我应该在报告中使用聚合吗？感谢。

 SELECT 
         S.PKEY 
        ,Customer
        ,isnull(S.CustomerName, 'Unknown') AS CustomerName
        ,CustomerWithErrors
        ,Warehouse
        ,ErrorMessage
        ,PROCESSDATE
        ,CARTONERRORMESSAGE
        ,Division
        ,BOLNO
        ,BOLSHIPDATE
        ,CARTONDETAILERRMSG
        ,ErrorCategory
        ,CASE WHEN ErrorCategory='Success'
        THEN 0
        ELSE    
        COUNT(NotLate) 
        END AS OnTimeCount
        ,Invalid
        ,WrongData
        ,Duplicate
        ,MissingData
        --,COUNT(Invalid) AS InvalidCount
        --,COUNT(WrongData) AS WrongDataCount
        --,COUNT(Duplicate) AS DuplicateCount
        --,COUNT(MissingData) AS MissingDataCount
        --,(COUNT(Invalid)+COUNT(WrongData)+COUNT(Duplicate)+COUNT(MissingData)) AS TotalErrors
        ,Total945s AS TotalReport945s

        --,COUNT(*) OVER(PARTITION BY [CustomerWithErrors]) Total945s 
        --, (SELECT (Total945s) WHERE CustomerWithErrors>=0) AS TotalErrors

        FROM(

    SELECT
         PKEY 
        ,Customer
        ,CASE WHEN CustomerName = '' OR CustomerName IS NULL
        THEN 'Unknown'
        ELSE CustomerName
        END AS CustomerName
        ,CASE WHEN CustomerName='' OR CustomerName IS NULL OR CustomerName='Unknown'
        THEN 0
        ELSE
        (SELECT DISTINCT Customer WHERE ErrorCategory <> 'Success') END
         AS CustomerWithErrors
        ,Warehouse
        ,ErrorMessage
        ,PROCESSDATE
        ,CARTONERRORMESSAGE
        ,Division
        ,BOLNO
        ,BOLSHIPDATE
        ,CARTONDETAILERRMSG
        ,ErrorCategory
        ,CASE WHEN ErrorCategory='Success'
        THEN 'N'
        ELSE OnTime         
        END AS OnTime
        ,(SELECT Customer WHERE OnTime = 'Y') AS NotLate
        --,(SELECT Customer WHERE ErrorCategory = 'Invalid') AS Invalid
        --,(SELECT Customer WHERE ErrorCategory = 'Wrong Data') AS WrongData
        --,(SELECT Customer WHERE ErrorCategory = 'Duplicate') AS Duplicate
        --,(SELECT Customer WHERE ErrorCategory = 'Missing Data') AS MissingData
        , COUNT(*) OVER(PARTITION BY [Customer]) Total945s



    FROM EDI945UTIErrors
    --WHERE Customer ='104646' and OnTime = 'Y'
    --WHERE CUSTOMER='107834'
    --AND ErrorCategory = 'Wrong Data'
    --AND ERRORMESSAGE LIKE '%Overshipment Not Allowed%'

    ) S
    LEFT JOIN
    (
    SELECT PKEY, ISNULL(CustomerName, 'Unknown') AS CustomerName, [Invalid], [WrongData], [Duplicate], [MissingData], [Success]
 FROM EDI945UTIErrors
 PIVOT (Count(Customer) FOR ErrorCategory in ([Invalid], [WrongData], [Duplicate], [MissingData], [Success]))
 AS P) AS PT ON S.PKEY = PT.PKEY

        GROUP BY
         S.PKEY
        ,Customer
        ,S.CustomerName
        ,CustomerWithErrors
        ,Warehouse
        ,ErrorMessage
        ,PROCESSDATE
        ,CARTONERRORMESSAGE
        ,Division
        ,BOLNO
        ,BOLSHIPDATE
        ,CARTONDETAILERRMSG
        ,ErrorCategory
        ,OnTime
        ,Total945s
        ,Invalid
        ,WrongData
        ,MissingData
        ,Duplicate

非常感谢你的时间。

Answer 1

根据您发布的图片，您的数据集可能会为客户提供所有订单，而不仅仅是那些有错误的订单。检查此问题的一种好方法是从数据集中获取SQL并在Management Studio中运行它。如果您获得了不想计算的行，则可以在Tablix上使用过滤器。

要在Tablix上应用过滤器，请右键单击它并转到Tablix属性： TablixProperties

点击过滤器，你可以选择只有错误标志的订单： TablixFilter

如果这不能解决您的问题，请告诉我并将数据集的SQL添加到您的问题中，我们将返回绘图板。：）

编辑 - 2014年12月11日

感谢SQL！如果CustomerWithErrors仅返回客户编号，则过滤器将无法帮助。你还在拉每条记录（甚至是那些ErrorCategory ='成功'的记录）。您是否知道有两列别名为TotalErrors？有

(COUNT(Invalid)+COUNT(WrongData)+COUNT(Duplicate)+COUNT(MissingData)) AS TotalErrors

和

(SELECT (Total945s) WHERE CustomerWithErrors>=0) AS TotalErrors

第一个看起来可能有用，但我不知道你在桌子上使用了哪个。另一件需要考虑的事情是，您正在计算聚合的聚合。如果遇到结果集中存在这种情况的情况，最终可能会将它们相乘：

Customer    |   ErrorCategory   |   TotalErrors
1234        |   Invalid         |   2
1234        |   Duplicate       |   2

您将在报告中看到的结果：

Customer    |   TotalErrors
1234        |   4

如果您想避免这种情况，可以让SSRS进行聚合。你考虑过做一个PIVOT吗？你可以这样做：

Select Customer, ISNULL(CustomerName, 'Unknown'), [Invalid], [Wrong Data], [Duplicate], [Missing Data], [Success]
FROM EDITable
PIVOT (Count(Customer) FOR ErrorCategory in ([Invalid], [Wrong Data], [Duplicate], [Missing Data], [Success]))

然后在报告中输入总错误，使用表达Sum（无效）+ Sum（错误数据）+ Etc的表达式。只要每个客户有一条记录，您的数据就不应该加倍，您仍然可以获得非错误记录的总数。

我希望有所帮助。如果您有任何疑问，请与我联系！

如何计算列中行组的结果？

1 个答案: