SQL Server在给定跟踪信息的一段时间内获取数据对象的基础位置

我不知道如何在SQLServer2008R2中得出这样的结论

我有一个表，它有一些输入，这些输入有一个父标记和一个时间戳

有时，这些对象的父标记在时间戳中发生了更改。此父标记可以随时更改。 假设我有下表。我当前的表有数百万个具有不同objectid的数据。查看该表，很容易看出ParentID在时间戳3到4、6到7和8到9中发生了更改

我想要的答案是ObjectID属于哪个ParentID以及开始和结束时间戳，时间戳timestamp=TS之间的增量值是多少

到目前为止，我所完成的是在发生变化时得到的，但它只给了我变化，而不是上表

下面是生成表和测试插入的代码。下面是获取更改的选择

        --Initial Insert Code
   IF OBJECT_ID('tempdb..#Trackings') Is Not Null
    Drop table #Trackings

 Create Table #Trackings
 (
   ProductID bigint
 , value    float
 , StoreID  int
 , DateID int
 , Aux_Row_Number int
 )

Insert into #Trackings(ProductID,StoreID,DateID,value,Aux_Row_Number) Values (100,1,1,325.2,1)
Insert into #Trackings(ProductID,StoreID,DateID,value,Aux_Row_Number) Values (100,1,2,326.2,2)
Insert into #Trackings(ProductID,StoreID,DateID,value,Aux_Row_Number) Values (100,1,3,329.6,3)
Insert into #Trackings(ProductID,StoreID,DateID,value,Aux_Row_Number) Values (100,2,4,335.2,4)
Insert into #Trackings(ProductID,StoreID,DateID,value,Aux_Row_Number) Values (100,2,5,336.5,5)
Insert into #Trackings(ProductID,StoreID,DateID,value,Aux_Row_Number) Values (100,2,6,338.3,6)
Insert into #Trackings(ProductID,StoreID,DateID,value,Aux_Row_Number) Values (100,3,7,339.2,7)
Insert into #Trackings(ProductID,StoreID,DateID,value,Aux_Row_Number) Values (100,3,8,342.1,8)
Insert into #Trackings(ProductID,StoreID,DateID,value,Aux_Row_Number) Values (100,1,9,343.7,9)
Insert into #Trackings(ProductID,StoreID,DateID,value,Aux_Row_Number) Values (100,1,10,355.0,10)
Insert into #Trackings(ProductID,StoreID,DateID,value,Aux_Row_Number) Values (100,1,12,385.0,12)
Insert into #Trackings(ProductID,StoreID,DateID,value,Aux_Row_Number) Values (100,3,13,485.0,13)
Insert into #Trackings(ProductID,StoreID,DateID,value,Aux_Row_Number) Values (100,3,14,985.0,14)
Insert into #Trackings(ProductID,StoreID,DateID,value,Aux_Row_Number) Values (100,3,15,1585.0,15)
Insert into #Trackings(ProductID,StoreID,DateID,value,Aux_Row_Number) Values (100,3,16,3585.0,16)
Insert into #Trackings(ProductID,StoreID,DateID,value,Aux_Row_Number) Values (100,2,17,5585.0,17)
Insert into #Trackings(ProductID,StoreID,DateID,value,Aux_Row_Number) Values (100,2,18,6585.0,18)
Insert into #Trackings(ProductID,StoreID,DateID,value,Aux_Row_Number) Values (100,2,19,8585.0,19)
Insert into #Trackings(ProductID,StoreID,DateID,value,Aux_Row_Number) Values (100,2,20,9585.0,20)

以及获取我正在使用的更改的SQL：

Select      ISNULL(A.StoreID,-1)
,           ISNULL(B.StoreID,-1)
,           A.ProductID
,           A.value
,           B.value
,           A.DateID
,           B.DateID
From        #Trackings A
Join        #Trackings B
On          A.ProductID = B.ProductID
And         A.Aux_Row_Number + 1 = B.Aux_Row_Number
And         ISNULL(A.StoreID,-1) <> ISNULL(B.StoreID,-1)

伙计们，有什么想法吗

提前谢谢

---

编辑：再多一点商业信息：ParentID就像一个商店，一个产品是什么，它到达那里的时间是什么。因此，假设productID 100位于ParentID 1中，这意味着在DateID 1中，productID 100输入了Store 1。所以出于某种原因，它移动到DateDod 4中的存储2。所以我在答案表中的第一行表示ProductID100在从DateID1到DateID4的StoreID1中。然后，productID 100从DateID 4保留到7，然后更改为StoredID 3，最后从DateID 9返回到StoredID 1，直到所选DateID范围内的最后一个DateID。这就是为什么答案表有两行ParentID为1的原因。

好的，使用更新的样本数据尝试一下：

Declare @Trackings table
 (
   ProductID bigint
 , value    float
 , StoreID  int
 , DateID int
 , Aux_Row_Number int
 )

Insert into @Trackings(ProductID,StoreID,DateID,value,Aux_Row_Number) Values (100,1,1,325.2,1)
Insert into @Trackings(ProductID,StoreID,DateID,value,Aux_Row_Number) Values (100,1,2,326.2,2)
Insert into @Trackings(ProductID,StoreID,DateID,value,Aux_Row_Number) Values (100,1,3,329.6,3)
Insert into @Trackings(ProductID,StoreID,DateID,value,Aux_Row_Number) Values (100,2,4,335.2,4)
Insert into @Trackings(ProductID,StoreID,DateID,value,Aux_Row_Number) Values (100,2,5,336.5,5)
Insert into @Trackings(ProductID,StoreID,DateID,value,Aux_Row_Number) Values (100,2,6,338.3,6)
Insert into @Trackings(ProductID,StoreID,DateID,value,Aux_Row_Number) Values (100,3,7,339.2,7)
Insert into @Trackings(ProductID,StoreID,DateID,value,Aux_Row_Number) Values (100,3,8,342.1,8)
Insert into @Trackings(ProductID,StoreID,DateID,value,Aux_Row_Number) Values (100,1,9,343.7,9)
Insert into @Trackings(ProductID,StoreID,DateID,value,Aux_Row_Number) Values (100,1,10,355.0,10)
Insert into @Trackings(ProductID,StoreID,DateID,value,Aux_Row_Number) Values (100,1,12,385.0,12)
Insert into @Trackings(ProductID,StoreID,DateID,value,Aux_Row_Number) Values (100,3,13,485.0,13)
Insert into @Trackings(ProductID,StoreID,DateID,value,Aux_Row_Number) Values (100,3,14,985.0,14)
Insert into @Trackings(ProductID,StoreID,DateID,value,Aux_Row_Number) Values (100,3,15,1585.0,15)
Insert into @Trackings(ProductID,StoreID,DateID,value,Aux_Row_Number) Values (100,3,16,3585.0,16)
Insert into @Trackings(ProductID,StoreID,DateID,value,Aux_Row_Number) Values (100,2,17,5585.0,17)
Insert into @Trackings(ProductID,StoreID,DateID,value,Aux_Row_Number) Values (100,2,18,6585.0,18)
Insert into @Trackings(ProductID,StoreID,DateID,value,Aux_Row_Number) Values (100,2,19,8585.0,19)
Insert into @Trackings(ProductID,StoreID,DateID,value,Aux_Row_Number) Values (100,2,20,9585.0,20)
 ;
with t
as (select *, ROW_NUMBER() over (order by dateid) as rn
from @Trackings ),

cte1 
    (Productid, 
    Storeid, 
    DateID,
    value,
    rn,
    set1)
as 
    (select ProductID, StoreID, DateID, value, rn , 1
    from  t
    where rn = 1
union all
    select t.productID, t.storeID, t.dateID, t.value, t.rn, 
    case when 
        cte1.Storeid = t.storeID then cte1.set1 else cte1.set1+1 end
    from  t join cte1 on t.rn = cte1.rn+1)

 ,

t2 as (select Productid, Storeid, set1, MIN(CAST(DateID as int)) as tmi, max(dateid) as tma
from cte1
group by Productid, Storeid, set1)

select t3.Productid, t3.Storeid, t3.set1, t3.date_min, t3.date_max, u.value - t.value
from
(select a.Productid, a.Storeid, a.set1, a.tmi as date_min, coalesce(b.tmi, a.tma) as date_max
from t2 a left join t2 b
on a.set1 + 1 = b.set1) t3 join @Trackings t
on t3.date_min =  t.DateID
join @Trackings u
on t3.date_max = u.DateID
order by set1

---

值列让我很困惑，因为您使用的是逗号而不是句点。将整数与浮点小数部分分开。

我终于找到了一个解决方案，它基于我的初始表，比使用CTE有更好的性能，正如实际表所建议的那样，它有5k个条目，使用his建议需要很长时间

查询搜索表之后，我为每个ProductID向表中添加了两行。这些行将接收一个虚拟的StoreID，即-9999：一个是MinDateID-1，另一个是MaxDateID+1

Insert into #Trackings (Aux_Row_Number,StoreID,DateID,ProductID,value)
Select Min(Aux_Row_Number)-1 Aux_Row_Number,-9999 as StoreID, min(DateID)-1 as DateID,ProductID,Min(value)
From #Trackings
group by ProductID
Order by ProductID

Insert into #Trackings (Aux_Row_Number,StoreID,DateID,ProductID,value)
Select Max(Aux_Row_Number)+1 Aux_Row_Number,-9999 as StoreID, max(DateID)+1 as DateID,ProductID,Max(value)
From #Trackings
group by ProductID
Order by ProductID

然后，我使用我发布的查询来获取更改。因此，我可以得到从Dummy-9999到real-StoreID 1的更改，以及从real-StoreID 3到Dummy-9999的最后一个更改

select      ISNULL(A.StoreID,-1)
,           ISNULL(B.StoreID,-1)
,           A.ProductID
,           A.value
,           B.value
,           A.DateID
,           B.DateID
,           ROW_NUMBER() OVER (Partition by B.ProductID Order by A.DateID)
from            #Trackings A
Join            #Trackings B
On              A.ProductID = B.ProductID
And             A.Aux_Row_Number + 1 = B.Aux_Row_Number
AND             ISNULL(A.StoreID,0) <> ISNULL(B.StoreID ,0)

以下是最终解决方案：

IF OBJECT_ID('tempdb..#Trackings') Is Not Null
    Drop table #Trackings

IF OBJECT_ID('tempdb..#ProductStoreChanges') Is Not Null
    Drop table #ProductStoreChanges

 Create Table #Trackings
 (
   ProductID bigint
 , value    float
 , StoreID  int
 , DateID int
 , Aux_Row_Number int
 , flg_changed bit Default(0)
 )

Insert into #Trackings(ProductID,StoreID,DateID,value,Aux_Row_Number) Values (100,1,1,325.2,1)
Insert into #Trackings(ProductID,StoreID,DateID,value,Aux_Row_Number) Values (100,1,2,326.2,2)
Insert into #Trackings(ProductID,StoreID,DateID,value,Aux_Row_Number) Values (100,1,3,329.6,3)
Insert into #Trackings(ProductID,StoreID,DateID,value,Aux_Row_Number) Values (100,2,4,335.2,4)
Insert into #Trackings(ProductID,StoreID,DateID,value,Aux_Row_Number) Values (100,2,5,336.5,5)
Insert into #Trackings(ProductID,StoreID,DateID,value,Aux_Row_Number) Values (100,2,6,338.3,6)
Insert into #Trackings(ProductID,StoreID,DateID,value,Aux_Row_Number) Values (100,3,7,339.2,7)
Insert into #Trackings(ProductID,StoreID,DateID,value,Aux_Row_Number) Values (100,3,8,342.1,8)
Insert into #Trackings(ProductID,StoreID,DateID,value,Aux_Row_Number) Values (100,1,9,343.7,9)
Insert into #Trackings(ProductID,StoreID,DateID,value,Aux_Row_Number) Values (100,1,10,355.0,10)
Insert into #Trackings(ProductID,StoreID,DateID,value,Aux_Row_Number) Values (100,1,12,385.0,12)
Insert into #Trackings(ProductID,StoreID,DateID,value,Aux_Row_Number) Values (100,3,13,485.0,13)
Insert into #Trackings(ProductID,StoreID,DateID,value,Aux_Row_Number) Values (100,3,14,985.0,14)
Insert into #Trackings(ProductID,StoreID,DateID,value,Aux_Row_Number) Values (100,3,15,1585.0,15)
Insert into #Trackings(ProductID,StoreID,DateID,value,Aux_Row_Number) Values (100,3,16,3585.0,16)
Insert into #Trackings(ProductID,StoreID,DateID,value,Aux_Row_Number) Values (100,2,17,5585.0,17)
Insert into #Trackings(ProductID,StoreID,DateID,value,Aux_Row_Number) Values (100,2,18,6585.0,18)
Insert into #Trackings(ProductID,StoreID,DateID,value,Aux_Row_Number) Values (100,2,19,8585.0,19)
Insert into #Trackings(ProductID,StoreID,DateID,value,Aux_Row_Number) Values (100,2,20,9585.0,20)

Insert into #Trackings (Aux_Row_Number,StoreID,DateID,ProductID,value)
Select Min(Aux_Row_Number)-1 Aux_Row_Number,-9999 as StoreID, min(DateID)-1 as DateID,ProductID,Min(value)
From #Trackings
group by ProductID
Order by ProductID

Insert into #Trackings (Aux_Row_Number,StoreID,DateID,ProductID,value)
Select Max(Aux_Row_Number)+1 Aux_Row_Number,-9999 as StoreID, max(DateID)+1 as DateID,ProductID,Max(value)
From #Trackings
group by ProductID
Order by ProductID

 CREATE TABLE #ProductStoreChanges
 (
            ID_InitialStore         INT
  ,         ID_FinalStore           INT  
  ,         ProductID                   INT
  ,         value_1                 BIGINT 
  ,         value_2                 BIGINT 
  ,         DateID_Initial          BIGINT
  ,         DateID_Final            BIGINT 
  ,         Aux_Row_Number          INT
 )

INSERT INTO #ProductStoreChanges 
(   
            ID_InitialStore
  ,         ID_FinalStore       
  ,         ProductID               
  ,         value_1         
  ,         value_2         
  ,         DateID_Initial
  ,         DateID_Final
  ,         Aux_Row_Number      
)

select      ISNULL(A.StoreID,-1)
,           ISNULL(B.StoreID,-1)
,           A.ProductID
,           A.value
,           B.value
,           A.DateID
,           B.DateID
,           ROW_NUMBER() OVER (Partition by B.ProductID Order by A.DateID)
from            #Trackings A
Join            #Trackings B
On              A.ProductID = B.ProductID
And             A.Aux_Row_Number + 1 = B.Aux_Row_Number
AND             ISNULL(A.StoreID,0) <> ISNULL(B.StoreID ,0)


select              A.ID_FinalStore,A.DateID_Final,B.DateID_Final,A.ProductID,B.value_2,A.value_2,B.value_2 - A.value_2 DeltaValue
from                #ProductStoreChanges A
Join                #ProductStoreChanges B
On                  (A.Aux_Row_Number + 1 = B.Aux_Row_Number) 
And                 A.ProductID = B.ProductID
Order by            A.DateID_Final

---

在答案表中，最后一行的逻辑与前三行不同。第4行的TSID_端来自具有相同父级的记录。在其他行上，它来自下一个父级的第一条记录。这是预期的结果吗？这里有很好的细节，但示例和实际示例数据之间有点脱节，例如ObjectID和ProductID、辅助行号。。。在问题的这些不同部分之间有一致的数据和表结构是非常有用的。@Declan-k结果是这样的，因为它是最后一个可用的辅助行编号：。因此，在选定的间隔内，结果不会给我更多的选项，我们只需在TSID_End中添加间隔内最后一个可用的数字。@IanPreston感谢Man指出我愚蠢的错误！已编辑：已替换objectId以使ProductID保持一致！将使用Aux_Row_编号，因为我有不同的ProductSid，而且到目前为止我觉得有必要，但你是对的，我没有提供更多的细节。当我最终解决我的问题时，我会更新下面的帖子并检查！谢谢：嘿，迈克。谢谢你帮我。我正在尝试修改您的SQL代码以满足我的需要，但它不起作用。我编辑了帖子，并为这个案例添加了业务规则。如果我找到了解决方案，我也会在这里发布。谢谢

Insert into #Trackings (Aux_Row_Number,StoreID,DateID,ProductID,value)
Select Min(Aux_Row_Number)-1 Aux_Row_Number,-9999 as StoreID, min(DateID)-1 as DateID,ProductID,Min(value)
From #Trackings
group by ProductID
Order by ProductID

Insert into #Trackings (Aux_Row_Number,StoreID,DateID,ProductID,value)
Select Max(Aux_Row_Number)+1 Aux_Row_Number,-9999 as StoreID, max(DateID)+1 as DateID,ProductID,Max(value)
From #Trackings
group by ProductID
Order by ProductID

select      ISNULL(A.StoreID,-1)
,           ISNULL(B.StoreID,-1)
,           A.ProductID
,           A.value
,           B.value
,           A.DateID
,           B.DateID
,           ROW_NUMBER() OVER (Partition by B.ProductID Order by A.DateID)
from            #Trackings A
Join            #Trackings B
On              A.ProductID = B.ProductID
And             A.Aux_Row_Number + 1 = B.Aux_Row_Number
AND             ISNULL(A.StoreID,0) <> ISNULL(B.StoreID ,0)

select              A.ID_FinalStore,A.DateID_Final,B.DateID_Final,A.ProductID,B.value_2,A.value_2,B.value_2 - A.value_2 DeltaValue
from                #ProductStoreChanges A
Join                #ProductStoreChanges B
On                  (A.Aux_Row_Number + 1 = B.Aux_Row_Number) 
And                 A.ProductID = B.ProductID
Order by            A.DateID_Final

IF OBJECT_ID('tempdb..#Trackings') Is Not Null
    Drop table #Trackings

IF OBJECT_ID('tempdb..#ProductStoreChanges') Is Not Null
    Drop table #ProductStoreChanges

 Create Table #Trackings
 (
   ProductID bigint
 , value    float
 , StoreID  int
 , DateID int
 , Aux_Row_Number int
 , flg_changed bit Default(0)
 )

Insert into #Trackings(ProductID,StoreID,DateID,value,Aux_Row_Number) Values (100,1,1,325.2,1)
Insert into #Trackings(ProductID,StoreID,DateID,value,Aux_Row_Number) Values (100,1,2,326.2,2)
Insert into #Trackings(ProductID,StoreID,DateID,value,Aux_Row_Number) Values (100,1,3,329.6,3)
Insert into #Trackings(ProductID,StoreID,DateID,value,Aux_Row_Number) Values (100,2,4,335.2,4)
Insert into #Trackings(ProductID,StoreID,DateID,value,Aux_Row_Number) Values (100,2,5,336.5,5)
Insert into #Trackings(ProductID,StoreID,DateID,value,Aux_Row_Number) Values (100,2,6,338.3,6)
Insert into #Trackings(ProductID,StoreID,DateID,value,Aux_Row_Number) Values (100,3,7,339.2,7)
Insert into #Trackings(ProductID,StoreID,DateID,value,Aux_Row_Number) Values (100,3,8,342.1,8)
Insert into #Trackings(ProductID,StoreID,DateID,value,Aux_Row_Number) Values (100,1,9,343.7,9)
Insert into #Trackings(ProductID,StoreID,DateID,value,Aux_Row_Number) Values (100,1,10,355.0,10)
Insert into #Trackings(ProductID,StoreID,DateID,value,Aux_Row_Number) Values (100,1,12,385.0,12)
Insert into #Trackings(ProductID,StoreID,DateID,value,Aux_Row_Number) Values (100,3,13,485.0,13)
Insert into #Trackings(ProductID,StoreID,DateID,value,Aux_Row_Number) Values (100,3,14,985.0,14)
Insert into #Trackings(ProductID,StoreID,DateID,value,Aux_Row_Number) Values (100,3,15,1585.0,15)
Insert into #Trackings(ProductID,StoreID,DateID,value,Aux_Row_Number) Values (100,3,16,3585.0,16)
Insert into #Trackings(ProductID,StoreID,DateID,value,Aux_Row_Number) Values (100,2,17,5585.0,17)
Insert into #Trackings(ProductID,StoreID,DateID,value,Aux_Row_Number) Values (100,2,18,6585.0,18)
Insert into #Trackings(ProductID,StoreID,DateID,value,Aux_Row_Number) Values (100,2,19,8585.0,19)
Insert into #Trackings(ProductID,StoreID,DateID,value,Aux_Row_Number) Values (100,2,20,9585.0,20)

Insert into #Trackings (Aux_Row_Number,StoreID,DateID,ProductID,value)
Select Min(Aux_Row_Number)-1 Aux_Row_Number,-9999 as StoreID, min(DateID)-1 as DateID,ProductID,Min(value)
From #Trackings
group by ProductID
Order by ProductID

Insert into #Trackings (Aux_Row_Number,StoreID,DateID,ProductID,value)
Select Max(Aux_Row_Number)+1 Aux_Row_Number,-9999 as StoreID, max(DateID)+1 as DateID,ProductID,Max(value)
From #Trackings
group by ProductID
Order by ProductID

 CREATE TABLE #ProductStoreChanges
 (
            ID_InitialStore         INT
  ,         ID_FinalStore           INT  
  ,         ProductID                   INT
  ,         value_1                 BIGINT 
  ,         value_2                 BIGINT 
  ,         DateID_Initial          BIGINT
  ,         DateID_Final            BIGINT 
  ,         Aux_Row_Number          INT
 )

INSERT INTO #ProductStoreChanges 
(   
            ID_InitialStore
  ,         ID_FinalStore       
  ,         ProductID               
  ,         value_1         
  ,         value_2         
  ,         DateID_Initial
  ,         DateID_Final
  ,         Aux_Row_Number      
)

select      ISNULL(A.StoreID,-1)
,           ISNULL(B.StoreID,-1)
,           A.ProductID
,           A.value
,           B.value
,           A.DateID
,           B.DateID
,           ROW_NUMBER() OVER (Partition by B.ProductID Order by A.DateID)
from            #Trackings A
Join            #Trackings B
On              A.ProductID = B.ProductID
And             A.Aux_Row_Number + 1 = B.Aux_Row_Number
AND             ISNULL(A.StoreID,0) <> ISNULL(B.StoreID ,0)


select              A.ID_FinalStore,A.DateID_Final,B.DateID_Final,A.ProductID,B.value_2,A.value_2,B.value_2 - A.value_2 DeltaValue
from                #ProductStoreChanges A
Join                #ProductStoreChanges B
On                  (A.Aux_Row_Number + 1 = B.Aux_Row_Number) 
And                 A.ProductID = B.ProductID
Order by            A.DateID_Final