Plsql 在开始日期和结束日期之间生成日期

我需要生成两个给定日期之间的所有日期。以下是问题陈述：

输入：

START_DATE  END_DATE 
----------  ----------
01-FEB-16   03-FEB-16   
01-FEB-16   04-FEB-16   
01-FEB-16   05-FEB-16 
01-FEB-16   03-FEB-16 
11-FEB-16   14-FEB-16   

输出（开始日期和结束日期之间的所有日期）：

尝试

查询：

---

为了达到最佳性能，最好合并重叠的时间间隔，然后在这些时间间隔的开始日期和结束日期之间每天生成一行。下面的查询显示了如何执行此操作

SQL> with intervals as (
  2     select 1 as interval_id,
  3         to_date('01-FEB-16','dd-mon-yy') as start_date,
  4         to_date('03-FEB-16','dd-mon-yy') as end_date
  5     from dual
  6     union all
  7     select 2 as interval_id,
  8         to_date('02-FEB-16','dd-mon-yy') as start_date,
  9         to_date('04-FEB-16','dd-mon-yy') as end_date
 10     from dual
 11     union all
 12     select 3 as interval_id,
 13         to_date('03-FEB-16','dd-mon-yy') as start_date,
 14         to_date('05-FEB-16','dd-mon-yy') as end_date
 15     from dual
 16     union all
 17     select 4 as interval_id,
 18         to_date('01-FEB-16','dd-mon-yy') as start_date,
 19         to_date('04-FEB-16','dd-mon-yy') as end_date
 20     from dual
 21     union all
 22     select 5 as interval_id,
 23         to_date('11-FEB-16','dd-mon-yy') as start_date,
 24         to_date('14-FEB-16','dd-mon-yy') as end_date
 25     from dual
 26  ), overlapping_intervals as (
 27     select case
 28             when prev_end is null
 29                 then idx
 30             when start_date <= prev_end
 31                 then idx - lag(idx) over (order by start_date, interval_id)
 32                 else -idx
 33             end as overlap_interval_id,
 34         t.*
 35     from (
 36             select row_number() over (order by start_date, interval_id) as idx,
 37                 lag(end_date) over (order by start_date, interval_id) as prev_end,
 38                 i.*
 39             from intervals i
 40         ) t
 41     order by start_date, interval_id
 42  ), non_overlapping_intervals as (
 43     select overlap_interval_id,
 44         min(start_date) as start_date,
 45         max(end_date) as end_date
 46     from overlapping_intervals
 47     group by overlap_interval_id
 48  )
 49  select /*+rule*/start_date + level-1 as day, i.*
 50  from non_overlapping_intervals i
 51  connect by overlap_interval_id = prior overlap_interval_id
 52     and level < end_date-start_date+1
 53     and prior dbms_random.value is not null -- <-- workaround to bypass ORA-01436 thrown by the DB
 54  order by day
 55  /

DAY         OVERLAP_INTERVAL_ID START_DATE  END_DATE
----------- ------------------- ----------- -----------
01/02/2016                    1 01/02/2016  05/02/2016
02/02/2016                    1 01/02/2016  05/02/2016
03/02/2016                    1 01/02/2016  05/02/2016
04/02/2016                    1 01/02/2016  05/02/2016
11/02/2016                   -5 11/02/2016  14/02/2016
12/02/2016                   -5 11/02/2016  14/02/2016
13/02/2016                   -5 11/02/2016  14/02/2016

7 rows selected

SQL> 

SQL>，间隔为(
2选择1作为间隔\u id，
3至开始日期（“2016年2月1日”，“年月日-星期一”），
4截止日期（'2016年2月3日'，'dd-mon-yy'）作为结束日期
5来自双
6全体联合
7选择2作为间隔\u id，
8至开始日期（'2016年2月2日'，'dd-mon-yy'），
9截止日期（'2016年2月4日'，'dd-mon-yy'）作为结束日期
双程10分
11全体工会
12选择3作为间隔\u id，
13至开始日期（'2016年2月3日'，'dd-mon-yy'），
14截止日期（'2016年2月5日，'dd-mon-yy'）作为结束日期
15来自双
16全体工会
17选择4作为间隔\u id，
18至开始日期（'2016年2月1日'，'dd-mon-yy'），
19截止日期（'2016年2月4日，'dd-mon-yy'）作为结束日期
20人来自双重国籍
21全体工会
22选择5作为间隔\u id，
23至开始日期（'2016年2月11日'，'dd-mon-yy'），
24截止日期（“2016年2月14日”，“年月日-周一”）作为结束日期
来自双重国籍的25人
26），重叠的_间隔(
27选定案例
28当prev_end为空时
29然后idx
30当开始日期试试这个…我让你改变日期格式以适合你的

with tbl(start_date,
end_date) as
 (select date '2016-02-01'
        ,date '2016-02-03'
    from dual
  union all
  select date '2016-02-01'
        ,date '2016-02-04'
    from dual
  union all
  select date '2016-02-01'
        ,date '2016-02-05'
    from dual
  union all
  select date '2016-02-01'
        ,date '2016-02-03'
    from dual
  union all
  select date '2016-02-11'
        ,date '2016-02-14'
    from dual)
select distinct start_date + level - 1
  from tbl
connect by start_date + level - 1 <= end_date
 order by 1;

输出仅为01-FEB-16 02-FEB-16 03-FEB-16 04-FEB-16 05-FEB-16
with tbl(start_date, end_date) as (
     select Date '2016-02-01', Date '2016-02-03' from dual union all
     select Date '2016-02-01', Date '2016-02-04' from dual union all
     select Date '2016-02-01', Date '2016-02-05' from dual union all
     select Date '2016-02-01', Date '2016-02-03' from dual union all
     select Date '2016-02-11', Date '2016-02-14' from dual
),
date_tbl AS ( --get max end_date group by START_DATE
    SELECT 
        Trunc(START_DATE) Min_date, 
        max(Trunc(END_DATE)) - Trunc(START_DATE) diff       
    FROM tbl
    GROUP BY Trunc(START_DATE)
),
num_tbl AS ( --data to join the table [0 ,1 , 2, 3 ..... max(diff) + 1]
    SELECT LEVEL - 1 lev
    FROM  dual
    CONNECT BY LEVEL <= (SELECT Max(diff) + 1 FROM date_tbl) 
)
SELECT DISTINCT Min_date + lev date_col
FROM num_tbl JOIN date_tbl
ON lev <= diff
ORDER BY Min_date + lev

DATE_COL
01.02.2016
02.02.2016
03.02.2016
04.02.2016
05.02.2016
11.02.2016
12.02.2016
13.02.2016
14.02.2016

with y(start_date, end_date, m) as (
select start_date, end_date, case when start_date > lag(end_date) over (order by start_date, end_date) then 1 else 0 end
from your_table
)
,z(start_date, end_date, group_number) as (
select start_date, end_date, sum(m) over (order by start_date, end_date) from y
)
,a(start_date, end_date, group_number) as (
select min(start_date), max(end_date), group_number
from z
group by group_number
)
select start_date + level - 1
from a
connect by start_date + level - 1 <= end_date
and prior group_number =  group_number
and prior SYS_GUID() is not null
order by 1;

with x(start_date, end_date) as (
  select date'2016-02-01', date'2016-02-03' from dual union all
  select date'2016-02-01', date'2016-02-05' from dual union all
  select date'2016-02-01', date'2016-02-03' from dual union all
  select date'2016-02-11', date'2016-02-14' from dual union all
  select date'2016-02-02', date'2016-02-07' from dual union all
  select date'2016-02-02', date'2016-02-05' from dual union all
  select date'2016-02-12', date'2016-02-15' from dual union all
  select date'2016-02-11', date'2016-02-17' from dual union all
  select date'2016-02-19', date'2016-02-21' from dual
)
,y(start_date, end_date, m) as (
select start_date, end_date, case when start_date > lag(end_date) over (order by start_date, end_date) then 1 else 0 end
from x
)
,z(start_date, end_date, group_number) as (
select start_date, end_date, sum(m) over (order by start_date, end_date) from y
)
,a(start_date, end_date, group_number) as (
select min(start_date), max(end_date), group_number
from z
group by group_number
)
select start_date + level - 1
from a
connect by start_date + level - 1 <= end_date
and prior group_number =  group_number
and prior SYS_GUID() is not null
order by 1;

start_date + level - 1
----------------------
01-FEB-16
02-FEB-16
03-FEB-16
04-FEB-16
05-FEB-16
06-FEB-16
07-FEB-16
11-FEB-16
12-FEB-16
13-FEB-16
14-FEB-16
15-FEB-16
16-FEB-16
17-FEB-16
19-FEB-16
20-FEB-16
21-FEB-16

SQL> with intervals as (
  2     select 1 as interval_id,
  3         to_date('01-FEB-16','dd-mon-yy') as start_date,
  4         to_date('03-FEB-16','dd-mon-yy') as end_date
  5     from dual
  6     union all
  7     select 2 as interval_id,
  8         to_date('02-FEB-16','dd-mon-yy') as start_date,
  9         to_date('04-FEB-16','dd-mon-yy') as end_date
 10     from dual
 11     union all
 12     select 3 as interval_id,
 13         to_date('03-FEB-16','dd-mon-yy') as start_date,
 14         to_date('05-FEB-16','dd-mon-yy') as end_date
 15     from dual
 16     union all
 17     select 4 as interval_id,
 18         to_date('01-FEB-16','dd-mon-yy') as start_date,
 19         to_date('04-FEB-16','dd-mon-yy') as end_date
 20     from dual
 21     union all
 22     select 5 as interval_id,
 23         to_date('11-FEB-16','dd-mon-yy') as start_date,
 24         to_date('14-FEB-16','dd-mon-yy') as end_date
 25     from dual
 26  ), overlapping_intervals as (
 27     select case
 28             when prev_end is null
 29                 then idx
 30             when start_date <= prev_end
 31                 then idx - lag(idx) over (order by start_date, interval_id)
 32                 else -idx
 33             end as overlap_interval_id,
 34         t.*
 35     from (
 36             select row_number() over (order by start_date, interval_id) as idx,
 37                 lag(end_date) over (order by start_date, interval_id) as prev_end,
 38                 i.*
 39             from intervals i
 40         ) t
 41     order by start_date, interval_id
 42  ), non_overlapping_intervals as (
 43     select overlap_interval_id,
 44         min(start_date) as start_date,
 45         max(end_date) as end_date
 46     from overlapping_intervals
 47     group by overlap_interval_id
 48  )
 49  select /*+rule*/start_date + level-1 as day, i.*
 50  from non_overlapping_intervals i
 51  connect by overlap_interval_id = prior overlap_interval_id
 52     and level < end_date-start_date+1
 53     and prior dbms_random.value is not null -- <-- workaround to bypass ORA-01436 thrown by the DB
 54  order by day
 55  /

DAY         OVERLAP_INTERVAL_ID START_DATE  END_DATE
----------- ------------------- ----------- -----------
01/02/2016                    1 01/02/2016  05/02/2016
02/02/2016                    1 01/02/2016  05/02/2016
03/02/2016                    1 01/02/2016  05/02/2016
04/02/2016                    1 01/02/2016  05/02/2016
11/02/2016                   -5 11/02/2016  14/02/2016
12/02/2016                   -5 11/02/2016  14/02/2016
13/02/2016                   -5 11/02/2016  14/02/2016

7 rows selected

SQL> 

with tbl(start_date,
end_date) as
 (select date '2016-02-01'
        ,date '2016-02-03'
    from dual
  union all
  select date '2016-02-01'
        ,date '2016-02-04'
    from dual
  union all
  select date '2016-02-01'
        ,date '2016-02-05'
    from dual
  union all
  select date '2016-02-01'
        ,date '2016-02-03'
    from dual
  union all
  select date '2016-02-11'
        ,date '2016-02-14'
    from dual)
select distinct start_date + level - 1
  from tbl
connect by start_date + level - 1 <= end_date
 order by 1;

01/02/2016
02/02/2016
03/02/2016
04/02/2016
05/02/2016
11/02/2016
12/02/2016
13/02/2016
14/02/2016