Question

我已搜索但无法找到以下问题的解决方案。

我有几个价格列表有几百万行，我发现很多例子可以聚合成一行，因为该组的开始和结束日期是连续的（enddate：20151231 next startdate：20160101）

但我也发现了许多差距，这意味着使用min（）和max（）函数的直接方法不适用，因为可能的间隙将被忽略。

以下包含一个带有示例记录的#Prices表和一个#Target表，其中包含我正在拍摄的结果：

感谢。

我对间隙的定义是两个连续记录之间的间隔超过1天。

if object_id('tempdb..#Prices', 'table') is not null
    drop table #Prices
;

create table #Prices (
    Product         varchar(50) not null
  , Value           decimal(18,5) not null
  , ValidFrom       date not null
  , ValidTo         date null
)

insert into #Prices
(
    Product
  , Value
  , ValidFrom   
  , ValidTo    
)
select
    Product          = 'Island A'
  , Value            = 10.10
  , ValidFrom        = '20140101'
  , ValidTo          = '20140606'
union all
select
    Product          = 'Island A'
  , Value            = 10.10
  , ValidFrom        = '20140607'
  , ValidTo          = '20141010'
union all
select
    Product          = 'Island A'
  , Value            = 10.11
  , ValidFrom        = '20141011'
  , ValidTo          = '20141231'
union all
select
    Product          = 'Island A'
  , Value            = 11.10
  , ValidFrom        = '20150101'
  , ValidTo          = '20151231'
union all
select
    Product          = 'Island A'
  , Value            = 10.10
  , ValidFrom        = '20160101'
  , ValidTo          = null
union all
select
    Product          = 'Gap B'
  , Value            = 20.10
  , ValidFrom        = '20140101'
  , ValidTo          = '20140606'
union all
select
    Product          = 'Gap B'
  , Value            = 20.10
  , ValidFrom        = '20140607'
  , ValidTo          = '20141010'
union all
select
    Product          = 'Gap B'
  , Value            = 20.10
  , ValidFrom        = '20150101'
  , ValidTo          = '20151231'
union all
select
    Product          = 'Gap B'
  , Value            = 20.10
  , ValidFrom        = '20160101'
  , ValidTo          = null

select * 
from #Prices as P
order by P.Product, P.ValidFrom
;


if object_id('tempdb..#Target', 'table') is not null
    drop table #Target
;

create table #Target (
    Product         varchar(50) not null
  , Value           decimal(18,5) not null
  , ValidFrom       date not null
  , ValidTo         date null
)

insert into #Target
(
    Product
  , Value
  , ValidFrom   
  , ValidTo    
)
select
    Product          = 'Island A'
  , Value            = 10.10
  , ValidFrom        = '20140101'
  , ValidTo          = '20141010'
union all
select
    Product          = 'Island A'
  , Value            = 10.11
  , ValidFrom        = '20141011'
  , ValidTo          = '20141231'
union all
select
    Product          = 'Island A'
  , Value            = 11.10
  , ValidFrom        = '20150101'
  , ValidTo          = '20151231'
union all
select
    Product          = 'Island A'
  , Value            = 10.10
  , ValidFrom        = '20160101'
  , ValidTo          = null
union all
select
    Product          = 'Gap B'
  , Value            = 20.10
  , ValidFrom        = '20140101'
  , ValidTo          = '20141010'
union all
select
    Product          = 'Gap B'
  , Value            = 20.10
  , ValidFrom        = '20150101'
  , ValidTo          = null

select * 
from #Target as P
order by P.Product, P.ValidFrom
;

修改我希望编辑是你问题的答案。连续的记录（记录之间最多1天）可以通过取min（ValidFrom）和max（ValidTo）来聚合。问题是与差距，这些将被忽略。 Product＆＃39; Gap B＆＃39;的结果那将是一个记录。即使日期处于差距期间，使用日期对此记录的任何匹配都将获得值20.10。

Gap B    |    20.10    |    20140101    |     null

因此我需要2条记录，因此表格中的所有连接都将产生正确的值，并且在间隙期间没有值

Gap B    |    20.10    |    20140101    |     20141010
Gap B    |    20.10    |    20151231    |     null

Answer 1

这是一个使用递归cte的不同解决方案，我认为与Jon相比，它更容易理解。在这些数据量上，它也更有效率，但您需要自己测试更大数据集的性能：

;with rownum
as
(
    select row_number() over (order by Product, ValidFrom) as rn
            ,Product
            ,Value
            ,ValidFrom
            ,ValidTo
    from #Prices
)
,cte
as
(
    select rn
            ,Product
            ,Value
            ,ValidFrom
            ,ValidFrom as ValidFrom2
            ,ValidTo
    from rownum
    where rn = 1

    union all

    select r.rn
            ,r.Product
            ,r.Value

            ,r.ValidFrom
            ,case when c.Product = r.Product
                    then case when dateadd(d,1,c.ValidTo) = r.ValidFrom
                            then c.ValidFrom
                            else r.ValidFrom
                            end
                    else r.ValidFrom
                    end as ValidFrom2

            ,isnull(r.ValidTo,'29990101') as ValidTo
    from rownum r
        inner join cte c
            on(r.rn = c.rn+1)
)
select Product
        ,Value
        ,ValidFrom2 as ValidFrom
        ,nullif(max(ValidTo),'29990101') as ValidTo
from cte
group by Product
        ,Value
        ,ValidFrom2
order by Product
        ,ValidFrom2;

Answer 2

必须为NULL ValidTo

进行一些逻辑烘焙

;with cte0(N)   as (Select 1 From (Values(1),(1),(1),(1),(1),(1),(1),(1),(1),(1)) N(N))
     ,cte1(R,D) as (Select Row_Number() over (Order By (Select Null))
                          ,DateAdd(DD,Row_Number() over (Order By (Select Null)) -1,(Select min(ValidFrom) From  #Prices)) 
                     From  cte0 N1, cte0 N2, cte0 N3, cte0 N4) 
Select Product
      ,Value    
      ,ValidFrom = Min(ValidFrom)
      ,ValidTo   = nullif(max(isnull(ValidTo,'2099-12-31')),'2099-12-31')
 From (
         Select *
               ,Island = R - Row_Number() over (Partition By Product,Value Order by ValidFrom)
          From  #Prices  A
          Join  cte1     B on D Between ValidFrom and IsNull(ValidTo,'2099-12-31')
      ) A
 Group By Product,Value,Island
 Order By 1 Desc,3

返回

Product     Value       ValidFrom   ValidTo
Island A    10.10000    2014-01-01  2014-10-10
Island A    10.11000    2014-10-11  2014-12-31
Island A    11.10000    2015-01-01  2015-12-31
Island A    10.10000    2016-01-01  NULL
Gap B       20.10000    2014-01-01  2014-10-10
Gap B       20.10000    2015-01-01  NULL

具有开始结束日期的差距和岛屿（ValidPeriod）

2 个答案: