目录

0 需求

1 数据准备

2 数据分析

 2 小结

0 需求

给定多个时间段，每个时间段分为开始时间、结束时间，将相互重叠的多个时间段合并为一个区间

--数据：id、开始时间、结束时间
1 12 15
2 57 58
3 29 32
4 30 31
5 17 19
6 44 44
7 56 57
8 16 18

合并后结果如下;

--结果
flag	start_time	end_time
1	     12	        15
2	     16	        19
3	     29	        32
4	     44	        44
5	     56	        58

1 数据准备

create table test02 as
select 1 as id, 12 as start_time, 15 as end_time
union all
select 2 as id, 57 as start_time, 58 as end_time
union all
select 3 as id, 29 as start_time, 32 as end_time
union all
select 4 as id, 30 as start_time, 31 as end_time
union all
select 5 as id, 17 as start_time, 19 as end_time
union all
select 6 as id, 44 as start_time, 44 as end_time
union all
select 7 as id, 56 as start_time, 57 as end_time
union all
select 8 as id, 16 as start_time, 18 as end_time

2 数据分析

解题要点：如何判断哪些区间是要合并的？

其实换个角度就是哪些区间是交叉的，哪些是重复的？

判断思路：如果将起始时间，和结束时间进行排序，当前行的起始时间小于等于上一行的结束时间，那么日期就存在交叉，存在重复的数据。根据该条件我们可以设置断点，然后用经典的思路sum() over()来获取分组id，问题便得到解决。

第一步：按照起始时间和结束时间进行降序排序，获取上一行的结束时间，目的是为了比较

select id,
                            start_time,
                            end_time,
                            lag(end_time, 1, end_time) over (order by start_time asc, end_time asc) as lga_end_time
                     from test02

第二步：根据lag_end_time进行判断，当当前行的start_time <=  lag_end_time时候设置标记值0，否则为1（经典的按条件变化后的分组思路，这里一定是满足条件的时候置为0，不满足条件的时候置为1）

select id
                    , start_time
                    , end_time
                    , case when start_time <= lga_end_time then 0 else 1 end as flg --条件成立的时候为0，不成立的时候为1
               from (select id,
                            start_time,
                            end_time,
                            lag(end_time, 1, end_time) over (order by start_time asc, end_time asc) as lga_end_time
                     from test02

 第三步：按照sum() over()的方法获取分组id

 select id
              , start_time
              , end_time
              , sum(flg) over (order by start_time, end_time ) as grp_id
         from (select id
                    , start_time
                    , end_time
                    , case when start_time <= lga_end_time then 0 else 1 end as flg --条件成立的时候为0，不成立的时候为1
               from (select id,
                            start_time,
                            end_time,
                            lag(end_time, 1, end_time) over (order by start_time asc, end_time asc) as lga_end_time
                     from test02
                    ) t
              ) t

 第四步：在分组里获取，最小值及最大值，最小值即为起始点，最大值即为结束点，分组id即为id

最终的SQL如下：

select grp_id + 1      as id
     , min(start_time) as start_time
     , max(end_time)   as end_time
from (
         select id
              , start_time
              , end_time
              , sum(flg) over (order by start_time, end_time ) as grp_id
         from (select id
                    , start_time
                    , end_time
                    , case when start_time <= lga_end_time then 0 else 1 end as flg --条件成立的时候为0，不成立的时候为1
               from (select id,
                            start_time,
                            end_time,
                            lag(end_time, 1, end_time) over (order by start_time asc, end_time asc) as lga_end_time
                     from test02
                    ) t
              ) t
     ) t
group by grp_id

 2 小结

   本题为区间合并问题，问题比较经典，判断的核心思路是构造条件：

当前行的起始时间<=上一行的结束时间（按照起始时间和结束时间降序排序）。

然后利用经典的分组思路，在一个分组中求最小、最大值即为所求。