表中有两种类型的行:
标准数据与taskId绑定并在进程中加载到数据库中,下面的前两行是这种类型的数据。第二种类型的数据未在过程中加载,它作为表单的一部分插入。你可以看到差异,因为第一类数据有一个taskId,而NonScrumStoryId是NULL。在第二种情况下,填充NonScrumStoryId列并且TaskId为NULL。
我有一个查询来从这个表中获取数据:
DECLARE @startDateParam DATETIME
,@endDateParam DATETIME
,@productId VARCHAR(100)
,@search VARCHAR(100)
,@userParam VARCHAR(100)
,@orgTeamPK VARCHAR(100)
SET @startDateParam = '2013-11-25 00:00:00'
SET @endDateParam = '2013-12-01 23:59:59'
SET @productId = '%'
SET @search = '%%'
SET @userParam = '%'
SET @orgTeamPK = '%'
SELECT '3' AS RowType
,DTH.EnteredBy AS Person
,COALESCE(PDT.[Name], APP.AppName) AS Project
,(
CASE WHEN (
STY.KanBanProductId IS NOT NULL
AND STY.SprintId IS NULL
) THEN 'KanBan' WHEN (
STY.KanBanProductId IS NULL
AND STY.SprintId IS NOT NULL
) THEN 'Sprint' ELSE SCY.Catagory END
) AS ProjectType
,COALESCE(STY.[Number], NSS.IncidentNumber) AS StoryNumber
,COALESCE(STY.Title, NSS.[Description]) AS StoryTitle
,CONVERT(VARCHAR(20), STY.Effort) AS Effort
,COALESCE(TSK.[Name], '') AS Task
,CONVERT(VARCHAR(20), TSK.OriginalEstimateHours) AS OriginalEstimateHours
,SCY.Catagory AS Category
,NSS.IncidentNumber AS IncidentNumber
,APP.AppName AS ApplicationName
,CAST(SUM(CASE WHEN DATEPART(dw, DTH.ActivityDate) = 2 THEN DTH.[Hours] ELSE 0 END) AS VARCHAR(20)) AS MondayHours
,CAST(SUM(CASE WHEN DATEPART(dw, DTH.ActivityDate) = 3 THEN DTH.[Hours] ELSE 0 END) AS VARCHAR(20)) AS TuesdayHours
,CAST(SUM(CASE WHEN DATEPART(dw, DTH.ActivityDate) = 4 THEN DTH.[Hours] ELSE 0 END) AS VARCHAR(20)) AS WednesdayHours
,CAST(SUM(CASE WHEN DATEPART(dw, DTH.ActivityDate) = 5 THEN DTH.[Hours] ELSE 0 END) AS VARCHAR(20)) AS ThursdayHours
,CAST(SUM(CASE WHEN DATEPART(dw, DTH.ActivityDate) = 6 THEN DTH.[Hours] ELSE 0 END) AS VARCHAR(20)) AS FridayHours
,CAST(SUM(CASE WHEN DATEPART(dw, DTH.ActivityDate) = 7 THEN DTH.[Hours] ELSE 0 END) AS VARCHAR(20)) AS SaturdayHours
,CAST(SUM(CASE WHEN DATEPART(dw, DTH.ActivityDate) = 1 THEN DTH.[Hours] ELSE 0 END) AS VARCHAR(20)) AS SundayHours
,CAST(SUM(DTH.[Hours]) AS VARCHAR(20)) AS TotalHours
,CAST(SUM(CASE WHEN DTH.Hours > 0 THEN DTH.[UserDifference] END) AS VARCHAR(20)) AS DifferentUsers
,CAST(SUM(CASE WHEN DTH.Hours > 0 THEN DTH.DoubleBookedFlag END) AS VARCHAR(20)) AS DoubleBookedFlag
,DTH.PointPerson AS PointPerson
FROM DailyTaskHours DTH
LEFT JOIN Task TSK ON DTH.TaskId = TSK.PK_Task
LEFT JOIN Story STY ON TSK.StoryId = STY.PK_Story
LEFT JOIN NonScrumStory NSS ON DTH.NonScrumStoryId = NSS.PK_NonScrumStory
LEFT JOIN SupportCatagory SCY ON NSS.CatagoryId = SCY.PK_SupportCatagory
LEFT JOIN [Application] APP ON NSS.ApplicationId = APP.PK_Application
LEFT JOIN Sprint SPT ON STY.SprintId = SPT.PK_Sprint
LEFT JOIN Product PDT ON STY.ProductId = PDT.PK_Product
LEFT JOIN [User] USR ON DTH.EnteredBy = USR.DisplayName
WHERE DTH.EnteredBy LIKE @userParam
AND ActivityDate >= @startDateParam
AND ActivityDate <= @endDateParam
AND PDT.PK_Product LIKE @productId
AND (
(
@orgTeamPK = '%'
AND (
USR.[OrganizationalTeamId] LIKE @orgTeamPK
OR USR.[OrganizationalTeamId] IS NULL
)
)
OR (
@orgTeamPK <> '%'
AND (USR.[OrganizationalTeamId] LIKE @orgTeamPK)
)
AND (
(
STY.Number LIKE @search
OR STY.Number IS NULL
)
OR (
STY.Title LIKE @search
OR STY.Number IS NULL
)
OR (
TSK.NAME LIKE @search
OR STY.Number IS NULL
)
)
)
GROUP BY DTH.EnteredBy
,PDT.[Name]
,SPT.[Name]
,SPT.[Description]
,STY.[Number]
,STY.Title
,TSK.[Name]
,SCY.Catagory
,NSS.IncidentNumber
,APP.AppName
,STY.KanBanProductId
,STY.SprintId
,NSS.[Description]
,TSK.OriginalEstimateHours
,STY.Effort
,DTH.PointPerson
HAVING SUM(DTH.[Hours]) > 0
我的问题是这个查询只返回来自进程的表中的行,它不返回NonScrumStory列,我需要它。
编辑:WHERE子句的一部分导致问题。
Ater调查可能与这条线有关:
AND PDT.PK_Product LIKE @productId
我该如何解决这个问题?
答案 0 :(得分:4)
您正在使用
加入Task
LEFT JOIN Task TSK ON DTH.TaskId = TSK.PK_Task
然后使用
加入Story
LEFT JOIN Story STY ON TSK.StoryId = STY.PK_Story
然后使用
加入Product
LEFT JOIN Product PDT ON STY.ProductId = PDT.PK_Product
(注意任务 - &gt;故事 - &gt;产品依赖)
这些联接都很好,但您使用
过滤Product
AND PDT.PK_Product LIKE @productId
无论如何,这将匹配具有类似参数的产品的行,而这些行又将结果限制为具有故事的行,这限制了具有任务的行。
您可以检查@productId
是否为空或等于产品。如果未指定参数,这将允许您返回所有行,或返回过滤到产品的行。
...
AND ActivityDate <= @endDateParam
AND (@productId IS NULL OR PDT.PK_Product LIKE @productId)
AND (
...
如果您需要始终过滤产品,那么您可能必须使用UNION
并选择包含任务的所有行,然后选择另一行中包含NonScrumStory
的所有行。