如何在一天内找到重叠或不重叠日期范围之间的差距？ [PL/SQL]答案

【问题标题】：how can i find the gaps between overlapping or non overlapping date ranges in one day? [pl/sql]如何在一天内找到重叠或不重叠日期范围之间的差距？ [PL/SQL]
【发布时间】：2022-12-04 16:30:27
【问题描述】：

我有一张表格，显示发行人调用该服务时的日期和时间。我想写一个查询来显示在特定日期特定发行人的请求没有涵盖 24 小时。如果有人可以指导我，我将不胜感激。我是 pl sql 的初学者 mht_issuer_revoked_call](https://i.stack.imgur.com/JkLsJ.png)

我尝试按 issuerid 分区并按开始日期排序，并使用滞后时间将开始日期和结束日期与以前的记录进行比较，并添加新的开始和结束日期，但我想我无法通过这种方式得到答案。

select r.*,
        case
          when r.startdate > lag(r.enddate) over(partition by r.issuerid order by r.startdate) then r.startdate
          else min(r.startdate) over(partition by r.issuerid order by r.startdate)
        end startdate_new,
        case
          when lag(r.enddate) over(partition by r.issuerid order by r.startdate) is null then r.enddate
          when r.enddate <= lag(r.enddate) over(partition by r.issuerid order by r.startdate) then lag(r.enddate) over(partition by r.issuerid order by r.startdate)
          when r.enddate > lag(r.enddate) over(partition by r.issuerid order by r.startdate)  then r.enddate
        end enddate_new
  from mht_issuer_revoked_call r

【问题讨论】：

标签： plsql

【解决方案1】：

不太确定你想要得到什么（没有预期的结果），但也许这样的事情可能会有所帮助：

样本数据

WITH 
    tbl AS
        (
            Select 4  "ID", To_Date('25.11.2022 00:00:00', 'dd.mm.yyyy hh24:mi:ss') "START_DATE", To_Date('25.11.2022 12:00:00', 'dd.mm.yyyy hh24:mi:ss') "END_DATE" From Dual Union All
            Select 4  "ID", To_Date('25.11.2022 12:00:00', 'dd.mm.yyyy hh24:mi:ss') "START_DATE", To_Date('26.11.2022 00:00:00', 'dd.mm.yyyy hh24:mi:ss') "END_DATE" From Dual Union All
            Select 40 "ID", To_Date('25.11.2022 00:00:00', 'dd.mm.yyyy hh24:mi:ss') "START_DATE", To_Date('25.11.2022 06:00:00', 'dd.mm.yyyy hh24:mi:ss') "END_DATE" From Dual Union All
            Select 40 "ID", To_Date('25.11.2022 06:00:00', 'dd.mm.yyyy hh24:mi:ss') "START_DATE", To_Date('25.11.2022 12:00:00', 'dd.mm.yyyy hh24:mi:ss') "END_DATE" From Dual Union All
            Select 40 "ID", To_Date('25.11.2022 11:30:00', 'dd.mm.yyyy hh24:mi:ss') "START_DATE", To_Date('25.11.2022 18:00:00', 'dd.mm.yyyy hh24:mi:ss') "END_DATE" From Dual Union All
            Select 40 "ID", To_Date('25.11.2022 18:30:00', 'dd.mm.yyyy hh24:mi:ss') "START_DATE", To_Date('25.11.2022 19:30:00', 'dd.mm.yyyy hh24:mi:ss') "END_DATE" From Dual Union All
            Select 40 "ID", To_Date('25.11.2022 19:31:00', 'dd.mm.yyyy hh24:mi:ss') "START_DATE", To_Date('26.11.2022 00:00:00', 'dd.mm.yyyy hh24:mi:ss') "END_DATE" From Dual Union All
            Select 50 "ID", To_Date('25.11.2022 00:00:00', 'dd.mm.yyyy hh24:mi:ss') "START_DATE", To_Date('25.11.2022 12:00:00', 'dd.mm.yyyy hh24:mi:ss') "END_DATE" From Dual Union All
            Select 50 "ID", To_Date('25.11.2022 11:00:00', 'dd.mm.yyyy hh24:mi:ss') "START_DATE", To_Date('26.11.2022 01:30:00', 'dd.mm.yyyy hh24:mi:ss') "END_DATE" From Dual Union All
            Select 50 "ID", To_Date('25.11.2022 23:10:00', 'dd.mm.yyyy hh24:mi:ss') "START_DATE", To_Date('25.11.2022 23:30:00', 'dd.mm.yyyy hh24:mi:ss') "END_DATE" From Dual Union All
            Select 50 "ID", To_Date('25.11.2022 23:30:00', 'dd.mm.yyyy hh24:mi:ss') "START_DATE", To_Date('25.11.2022 23:45:00', 'dd.mm.yyyy hh24:mi:ss') "END_DATE" From Dual Union All
            Select 50 "ID", To_Date('25.11.2022 23:50:00', 'dd.mm.yyyy hh24:mi:ss') "START_DATE", To_Date('25.11.2022 23:55:00', 'dd.mm.yyyy hh24:mi:ss') "END_DATE" From Dual 
        ),

创建 CTE (day_tbl) 转换您的日期和时间以获得每日事件并记录可能延长到第二天：

    day_tbl AS
        (   Select  
                ID,
                START_DATE "START_DATE", 
                ROW_NUMBER() OVER(Partition By ID Order By START_DATE) "CALL_NO",
                To_Char(START_DATE, 'hh24:mi:ss') "START_TIME",
                END_DATE "END_DATE", 
                To_Char(END_DATE, 'hh24:mi:ss') "END_TIME",
                --
                CASE 
                      WHEN (TRUNC(START_DATE) = TRUNC(END_DATE) And To_Char(END_DATE, 'hh24:mi:ss') = '00:00:00') 
                          OR 
                            (TRUNC(END_DATE) - TRUNC(START_DATE) = 1 AND To_Char(END_DATE, 'hh24:mi:ss') = '00:00:00')
                      THEN TRUNC(START_DATE)
                ELSE  END_DATE
                END "NEW_END_DATE",
                CASE 
                      WHEN  (TRUNC(START_DATE) = TRUNC(END_DATE) And To_Char(END_DATE, 'hh24:mi:ss') = '00:00:00') 
                          OR 
                            (TRUNC(END_DATE) - TRUNC(START_DATE) = 1 AND To_Char(END_DATE, 'hh24:mi:ss') = '00:00:00')
                      THEN '24:00:00'
                ELSE  To_Char(END_DATE, 'hh24:mi:ss')
                END "NEW_END_TIME",
                --
                CASE 
                      WHEN  (TRUNC(END_DATE) - TRUNC(START_DATE) = 1 AND To_Char(END_DATE, 'hh24:mi:ss') != '00:00:00')
                      THEN '00:00:00'
                END "NEXT_DAY_TIME_FROM",
                CASE 
                      WHEN  (TRUNC(END_DATE) - TRUNC(START_DATE) = 1 AND To_Char(END_DATE, 'hh24:mi:ss') != '00:00:00')
                      THEN To_Char(END_DATE, 'hh24:mi:ss')
                END "NEXT_DAY_TIME_UNTIL"
            From 
                tbl 
        )

主 SQL 生成每个 DAY/ID 的事件，其中包含有关第一个和最后一个事件时间 (00 - 24)、连续性和扩展的信息；

SELECT
    ID, 
    START_DATE,
    CALL_NO,
    START_TIME "CALL_START_TIME", 
    NEW_END_TIME "CALL_END_TIME",
    MIN(START_TIME) OVER(Partition By ID) "DAY_FIRST_TIME",
    MAX(NEW_END_TIME) OVER(Partition By ID) "DAY_LAST_TIME",
    CASE 
        WHEN LAG(NEW_END_TIME, 1, START_TIME) OVER(Partition By ID Order By START_DATE) > START_TIME THEN 'OVERLAP'
        WHEN LAG(NEW_END_TIME, 1, START_TIME) OVER(Partition By ID Order By START_DATE) < START_TIME THEN 'GAP'
    END "CONTINUITY",
    NEXT_DAY_TIME_UNTIL "EXTENDS_TO_NEXT_DAY_TILL"
FROM
    day_tbl
ORDER BY
    ID,
    START_DATE

结果：

ID	START_DATE	CALL_NO	CALL_START_TIME	CALL_END_TIME	DAY_FIRST_TIME	DAY_LAST_TIME	CONTINUITY	EXTENDS_TO_NEXT_DAY_TILL
4	25-NOV-22	1	00:00:00	12:00:00	00:00:00	24:00:00
4	25-NOV-22	2	12:00:00	24:00:00	00:00:00	24:00:00
40	25-NOV-22	1	00:00:00	06:00:00	00:00:00	24:00:00
40	25-NOV-22	2	06:00:00	12:00:00	00:00:00	24:00:00
40	25-NOV-22	3	11:30:00	18:00:00	00:00:00	24:00:00	OVERLAP
40	25-NOV-22	4	18:30:00	19:30:00	00:00:00	24:00:00	GAP
40	25-NOV-22	5	19:31:00	24:00:00	00:00:00	24:00:00	GAP
50	25-NOV-22	1	00:00:00	12:00:00	00:00:00	23:55:00
50	25-NOV-22	2	11:00:00	01:30:00	00:00:00	23:55:00	OVERLAP	01:30:00
50	25-NOV-22	3	23:10:00	23:30:00	00:00:00	23:55:00	GAP
50	25-NOV-22	4	23:30:00	23:45:00	00:00:00	23:55:00
50	25-NOV-22	5	23:50:00	23:55:00	00:00:00	23:55:00	GAP

【讨论】：