从连续范围中获取第一个和最后一个值

Question

我想为每个id 获取连续的enter_day 和leave_day 值的第一个enter_date 和最后一个leave_date。鉴于此示例数据：

+-----+------------+------------+-----------+-----------+
| id  | enter_date | leave_date | enter_day | leave_day |
+-----+------------+------------+-----------+-----------+
| 111 | 2016-07-29 | 2016-12-01 |         1 |        75 |
| 111 | 2016-12-02 | 2017-01-13 |        76 |        95 |
| 111 | 2017-01-17 | 2017-06-02 |        96 |       181 |
| 222 | 2016-07-29 | 2016-12-02 |         1 |        76 |
| 222 | 2017-01-30 | 2017-06-02 |       105 |       181 |
| 333 | 2016-08-01 | 2017-06-02 |         1 |       180 |
+-----+------------+------------+-----------+-----------+

我想要以下结果：

+-----+------------+------------+
| id  | enter_date | leave_date |
+-----+------------+------------+
| 111 | 2016-07-29 | 2017-06-02 |
| 222 | 2016-07-29 | 2016-12-02 |
| 222 | 2017-01-30 | 2017-06-02 |
| 333 | 2016-08-01 | 2017-06-02 |
+-----+------------+------------+

我想要一条 ID 为 111 的记录，因为任何 enter_day 和之前的 leave_day 之间没有间隔。

我想要 ID 222 的两条记录，因为存在间隔（第 75 天到第 104 天）。

编辑：到目前为止，我没有为 ID 111 提供正确的leave_date：

with cte as (
    select a.id, a.enter_date, a.leave_date, b.enter_date next_ed, b.leave_date next_ld
    from #tbl a
    join #tbl b on b.id = a.id and b.enter_day = a.leave_day + 1
)
select id, min(enter_date) enter_date, max(leave_date) leave_date
from cte
group by id
union
select a.id, a.enter_date, a.leave_date
from #tbl a
left join #tbl b on b.id = a.id and b.enter_day = a.leave_day + 1
left join cte c on c.id = a.id and c.next_ed = a.enter_date and c.next_ld = a.leave_date
where b.id is null and c.id is null
order by 1,3

Answer 1

以下是范围的间隙和岛屿示例。

我使用了一个临时计数表，但实际的数字/计数也可以解决问题。

如果您只运行内部查询，您将很快看到 6 行的样本数据如何爆炸成 514 行。然后是应用分组聚合得到最终结果的小问题。

示例

Declare @YourTable Table ([id] int,[enter_date] date,[leave_date] date,[enter_day] int,[leave_day] int)
Insert Into @YourTable Values
 (111,'2016-07-29','2016-12-01',1,75)
,(111,'2016-12-02','2017-01-13',76,95)
,(111,'2017-01-17','2017-06-02',96,181)
,(222,'2016-07-29','2016-12-02',1,76)
,(222,'2017-01-30','2017-06-02',105,181)
,(333,'2016-08-01','2017-06-02',1,180)

Select ID
      ,[enter_date] = min([enter_date])
      ,[leave_date] = max([leave_date])
 From (
        Select *
              ,Grp = N - Row_Number() over (Partition By ID Order by N)
         From @YourTable A
         Join (
                  Select Top (Select max([leave_day]-[enter_day])+1 From @YourTable)
                         N=-1+Row_Number() Over (Order By (Select Null))
                  From  master..spt_values n1,master..spt_values n2
              ) B on B.N between [enter_day] and [leave_day]
      ) A 
 Group By [ID],Grp
 Order By [ID],min([enter_date])

返回

ID  enter_date  leave_date
111 2016-07-29  2017-06-02
222 2016-07-29  2016-12-02
222 2017-01-30  2017-06-02
333 2016-08-01  2017-06-02