日历/日期表可以简化此操作，但是我们也可以使用查询使用公共表表达式生成临时日期表。

从那里，我们可以解决这是一个空白和孤岛式的问题。使用日期表并使用outer apply()获取最新值start_date，gross_sales_price我们可以使用两个
row_number()
s来确定要重新聚合的组。第一个是由排序的date，减去另一个是按我们拥有的最新值进行划分并由start_date排序的date。

然后，您可以将公用表表达式的结果转储src到临时表中，并使用该表进行插入/删除，也可以使用mergeusing src。

/* -- dates --*/
declare @fromdate datetime, @thrudate datetime;
select  @fromdate = min(start_date), @thrudate = max(end_date) from #t;
;with n as (select n from (values(0),(1),(2),(3),(4),(5),(6),(7),(8),(9)) t(n))
, dates as (
  select top (datediff(day, @fromdate, @thrudate)+1) 
      [Date]=convert(datetime,dateadd(day,row_number() over(order by (select 1))-1,@fromdate))
    , [End_Date]=convert(datetime,dateadd(millisecond,-3,dateadd(day,row_number() over(order by (select 1)),@fromdate)))
  from n as deka cross join n as hecto cross join n as kilo
                 cross join n as tenK cross join n as hundredK
   order by [Date]
)
/* -- islands -- */
, cte as (
select 
    start_date = d.date
  , end_date   = d.end_date
  , x.gross_sales_price
  , grp = row_number() over (order by d.date)
        - row_number() over (partition by x.start_date order by d.date)
from dates d
  outer apply (
    select top 1 l.start_date, l.gross_sales_price
    from #t l
    where d.date >= l.start_date
      and d.date <= l.end_date
    order by l.start_date desc
    ) x
)
/* -- aggregated islands -- */
, src as (
select 
    start_date = min(start_date)
  , end_date   = max(end_date)  
  , gross_sales_price
from cte
group by gross_sales_price, grp
)
/* -- merge -- */
merge #t with (holdlock) as target
using src as source
  on target.start_date = source.start_date
 and target.end_date   = source.end_date
 and target.gross_sales_price = source.gross_sales_price
when not matched by target 
  then insert (start_date, end_date, gross_sales_price)
    values (start_date, end_date, gross_sales_price)
when not matched by source 
  then delete
output $action, inserted.*, deleted.*;
/* -- results -- */
select 
    start_date
  , end_date  
  , gross_sales_price
from #t 
order by start_date

extrester演示：http：//rextester.com/MFXCQQ90933

merge 输出（您无需输出此内容，仅在演示中显示）：

+---------+---------------------+---------------------+-------------------+---------------------+---------------------+-------------------+
| $action |     START_DATE      |      END_DATE       | GROSS_SALES_PRICE |     START_DATE      |      END_DATE       | GROSS_SALES_PRICE |
+---------+---------------------+---------------------+-------------------+---------------------+---------------------+-------------------+
| INSERT  | 2014-10-01 00:00:00 | 2014-10-06 23:59:59 | 29.99             | NULL                | NULL                | NULL              |
| INSERT  | 2014-08-06 00:00:00 | 2014-09-05 23:59:59 | 29.99             | NULL                | NULL                | NULL              |
| DELETE  | NULL                | NULL                | NULL              | 2014-08-06 00:00:00 | 2014-10-06 23:59:59 | 29.99             |
+---------+---------------------+---------------------+-------------------+---------------------+---------------------+-------------------+

结果：

+-------------------------+-------------------------+-------------------+
|       start_date        |        end_date         | gross_sales_price |
+-------------------------+-------------------------+-------------------+
| 2014-08-06 00:00:00.000 | 2014-09-05 23:59:59.997 | 29.99             |
| 2014-09-06 00:00:00.000 | 2014-09-09 23:59:59.997 | 32.99             |
| 2014-09-10 00:00:00.000 | 2014-09-30 23:59:59.997 | 32.99             |
| 2014-10-01 00:00:00.000 | 2014-10-06 23:59:59.997 | 29.99             |
| 2014-10-07 00:00:00.000 | 2049-12-31 23:59:59.997 | 34.99             |
+-------------------------+-------------------------+-------------------+