更新 SQL 服务器中的另一个行值

Update another row value in SQL Server

我有一个 table,名称、位置、开始日期和结束日期如下:

+------+----------+-----------+-----------+-----------+
| name | location | startdate |  endate   | is_active |
+------+----------+-----------+-----------+-----------+
| A    | delhi    | 3/26/2019 | 3/26/2019 |         1 |
| A    | delhi    | 3/27/2019 | 3/27/2019 |         1 |
| A    | delhi    | 3/28/2019 | 3/28/2019 |         1 |
| A    | delhi    | 3/31/2019 | 3/31/2019 |         1 |
+------+----------+-----------+-----------+-----------+

需要这样更新:

+------+----------+-----------+-----------+-----------+
| name | location | startdate |  endate   | is_active |
+------+----------+-----------+-----------+-----------+
| A    | delhi    | 3/26/2019 | 3/28/2019 |         1 |
| A    | delhi    | 3/27/2019 | 3/27/2019 |         0 |
| A    | delhi    | 3/28/2019 | 3/28/2019 |         0 |
| A    | delhi    | 3/31/2019 | 3/31/2019 |         1 |
+------+----------+-----------+-----------+-----------+

如果 startdate 是连续的,则使用最后一个连续 startdate 的结束日期更新结束日期,并更新 is_active = 0 连续开始日期

这是一个缺口和孤岛问题。这是一种使用 lag() 和累积 sum() 来定义组的方法。最后一步是条件逻辑:

select 
    name,
    location,
    startdate,
    case when row_number()  over(partition by name, location, grp order by startdate) = 1 
        then max(startdate) over(partition by name, location, grp) 
        else enddate
    end as enddate,
    case when row_number()  over(partition by name, location, grp order by startdate) = 1 
        then 1 
        else 0
    end as is_active
from (
    select 
        t.*, 
        sum(case when startdate = dateadd(day, 1, lag_enddate) then 0 else 1 end) 
            over(partition by name, location order by startdate) grp
    from (
        select 
            t.*, 
            lag(enddate) over(partition by name, location order by startdate) lag_enddate
        from mytable t
    ) t
) t

Demo on DB Fiddle:

name | location | startdate  | enddate    | is_active
:--- | :------- | :--------- | :--------- | --------:
A    | delhi    | 2019-03-26 | 2019-03-28 |         1
A    | delhi    | 2019-03-27 | 2019-03-27 |         0
A    | delhi    | 2019-03-28 | 2019-03-28 |         0
A    | delhi    | 2019-03-31 | 2019-03-31 |         1