oracle 从给定的时间段中找到发行者没有调用该服务的时间段

doinxwow  于 2022-12-18  发布在  Oracle
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我有一个表,其中包含发卡行调用服务的时间段。此表可以有重叠和不重叠的时间段:

with mht_issuer_revoked_call (issuerid, startdate, enddate) as (values
(4, to_date('25-11-2022', 'dd-mm-yyyy'), to_date('25-11-2022 12:00:00', 'dd-mm-yyyy hh24:mi:ss'),
(4, to_date('25-11-2022 12:00:00', 'dd-mm-yyyy hh24:mi:ss'), to_date('26-11-2022', 'dd-mm-yyyy'),
(40, to_date('25-11-2022', 'dd-mm-yyyy'), to_date('25-11-2022 06:00:00', 'dd-mm-yyyy hh24:mi:ss'),
(40, to_date('25-11-2022 06:00:00', 'dd-mm-yyyy hh24:mi:ss'), to_date('25-11-2022 12:00:00', 'dd-mm-yyyy hh24:mi:ss'),
(40, to_date('25-11-2022 11:30:00', 'dd-mm-yyyy hh24:mi:ss'), to_date('25-11-2022 18:00:00', 'dd-mm-yyyy hh24:mi:ss'),
(40, to_date('25-11-2022 18:30:00', 'dd-mm-yyyy hh24:mi:ss'), to_date('25-11-2022 19:30:00', 'dd-mm-yyyy hh24:mi:ss'),
(50, to_date('25-11-2022', 'dd-mm-yyyy'), to_date('25-11-2022 12:00:00', 'dd-mm-yyyy hh24:mi:ss'),
(50, to_date('25-11-2022 11:00:00', 'dd-mm-yyyy hh24:mi:ss'), to_date('26-11-2022 01:30:00', 'dd-mm-yyyy hh24:mi:ss'),
(40, to_date('25-11-2022 19:31:00', 'dd-mm-yyyy hh24:mi:ss'), to_date('26-11-2022', 'dd-mm-yyyy'),
(50, to_date('25-11-2022 23:10:00', 'dd-mm-yyyy hh24:mi:ss'), to_date('25-11-2022 23:30:00', 'dd-mm-yyyy hh24:mi:ss'),
(50, to_date('25-11-2022 23:30:00', 'dd-mm-yyyy hh24:mi:ss'), to_date('25-11-2022 23:45:00', 'dd-mm-yyyy hh24:mi:ss'),
(50, to_date('25-11-2022 23:50:00', 'dd-mm-yyyy hh24:mi:ss'), to_date('25-11-2022 23:55:00', 'dd-mm-yyyy hh24:mi:ss')
)

我设法到合并时间期间和新的时间期间没有任何相互重叠.我的输出如下:

with issuer_calls_merged (issuerid, start_date_time, end_date_time) as (values
      (4 ,'11/25/2022' ,             '11/26/2022'),
      (40 ,'11/25/2022',             '11/25/2022 6:00:00 PM'),
      (40 ,'11/25/2022 6:30:00 PM',  '11/25/2022 7:30:00 PM'),
      (40 ,'11/25/2022 7:31:00 PM',  '11/26/2022'           ),
      (50 ,'11/25/2022',             '11/26/2022 1:30:00 AM')
)

我正在尝试编写一个过程,该过程获取FromDate和EndDate作为输入参数,并根据检索到的FromDate和EndDate参数计算每个发卡方未覆盖的分钟数。例如,我将给予以下参数:起始日期:= '11/20/2022'结束日期:= '11/28/2022',则根据issuer_calls表中插入的时间段,对于issuerid 40,我预期会有以下输出:

| issuerid | start_date_time(uncovered) | end_date_time(uncovered) | uncovered_time_minutes
| 40       | 11/20/2022                 | 11/25/2022               | 7200
| 40       | 11/25/2022 6:00:00 PM      | 11/25/2022 6:30:00 PM    | 30
| 40       | 11/25/2022 7:30:00 PM      | 11/25/2022 7:31:00 PM    | 1
| 40       | 11/26/2022                 | 11/28/2022               | 2880


我试着按照以下程序完成这项工作:

create or replace procedure GAP(out_res out sys_refcursor,
                                in_FromDate mht_issuer_revoked_call.startdate%type,
                                in_EndDate  mht_issuer_revoked_call.enddate%type
                                ) AS

                                
BEGIN

**-- i tried to compare the given time period(FromDate-EndDate) with previous merged time periods and calculate the gaps and then union with previous gap**

open out_res for 
  select ut.issuerid,
         ut.startdate,
         ut.enddate,
         ut.initialgap as gap
    from 
    (
      with minStartDate as
      (
          select  r.issuerid,
                  min(r.startdate) as min_StartDate
          from mht_issuer_revoked_call r
          group by r.issuerid
      )
      select m.issuerid,
             in_FromDate as StartDate,
             case
               when m.min_StartDate >= in_EndDate then in_EndDate
               else m.min_StartDate
             end as EndDate,
             case
               when m.min_StartDate >= in_EndDate then (in_EndDate - in_FromDate + 1)*24*60
               else (min_StartDate - in_FromDate + 1)*24*60
             end as initialgap
      from minStartDate m
      
      union all

**--- bellow part merges the time periods and calculate the gaps between them**
    
      SELECT issuerid,
          end_date_time,
          next_row_start,
          (next_row_start - end_date_time)*24*60 as gap
        from 
        ( 
          SELECT issuerid,
                 start_date_time,
                 end_date_time,
                 case 
                   when lead(start_date_time) over(partition by issuerid order by start_date_time) is null then end_date_time
                   else lead(start_date_time) over(partition by issuerid order by start_date_time)
                 end as next_row_start
          FROM   (
            SELECT issuerid,
                   LAG( dt ) OVER ( PARTITION BY issuerid ORDER BY dt ) AS start_date_time,
                   dt AS end_date_time,
                   start_end
            FROM   (
              SELECT issuerid,
                     dt,
                     CASE SUM( value ) OVER ( PARTITION BY issuerid ORDER BY dt ASC, value DESC, ROWNUM ) * value
                       WHEN 1 THEN 'start'
                       WHEN 0 THEN 'end'
                     END AS start_end
              FROM   mht_issuer_revoked_call
              UNPIVOT ( dt FOR value IN ( startdate AS 1, enddate AS -1 ) )
            )
            WHERE start_end IS NOT NULL
          )
          WHERE  start_end = 'end'
    )
    where (next_row_start - end_date_time) > 0
    group by issuerid,next_row_start,end_date_time
    ) ut
    order by ut.issuerid, ut.StartDate;
END gap;

但最后我没能达到上面解释的结果

zzwlnbp8

zzwlnbp81#

您可以只使用SQL来获取结果,并在稍后进行处理。在此答案中,FromDate和EndDate(P_FROM,P_UNTILL)设置为问题中的值。您可以将它们定义为参数或绑定变量,以便更改它们。代码中有注解。

WITH 
    tbl AS    -- sample data
        (
            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 
        ), 
    day_tbl AS          -- create CTE to prepare your data
        (  Select   ID, 
                    ROW_NUMBER() OVER(Partition By ID Order By START_DATE) "RN",    -- ordering ID events
                    START_DATE "START_DATE", To_Char(START_DATE, 'hh24:mi:ss') "START_TIME",    -- just showing the time part of START_DATE
                    END_DATE "END_DATE", To_Char(END_DATE, 'hh24:mi:ss') "END_TIME",            -- just showing the time part of END_DATE
                    --
                    To_Date('20.11.2022', 'dd.mm.yyyy') "P_FROM",       -- column with P_FROM  - you could define it as bind variable
                    To_Date('28.11.2022', 'dd.mm.yyyy') "P_UNTILL",     -- column with P_FROM  - you could define it as bind variable
                    (  END_DATE - START_DATE  ) * 24 * 60 "MINS"        -- first calculation used for first and last row
            From 
                (Select *
                 From   (                       -- for each ID create starting and ending row and  union them with your data
                            Select ID "ID", START_DATE "START_DATE", END_DATE "END_DATE" From tbl Union ALL
                            Select ID, To_Date('20.11.2022', 'dd.mm.yyyy'), Min(START_DATE) From tbl GROUP BY ID Union All      -- row with P_FROM as START_DATE - you could define it as bind variable
                            Select ID, Max(END_DATE), To_Date('28.11.2022', 'dd.mm.yyyy') From tbl GROUP BY ID          -- row with P_UNTILL as END_DATE - you could define it as bind variable
                        )
                Order By ID, START_DATE
                ) 
        )
SELECT 
    *   -- you can select just the columns you need (not all of them like here)
FROM
    (   Select 
            ID, RN, START_DATE, START_TIME, END_DATE, END_TIME, P_FROM, P_UNTILL,
            CASE WHEN RN = 1 Or RN = Max(RN) OVER(Partition By ID) THEN MINS        -- first and last row already calculated
        -- else --> second calculation for rows that are not first nor last
            ELSE Round(( START_DATE - FIRST_VALUE(END_DATE) OVER(Partition By ID, TRUNC(START_DATE) Order By START_DATE Rows Between 1 Preceding And Current Row) ) * 24 * 60, 0)
            END "MINS"
        From
           day_tbl
    )
WHERE
    MINS > 0    -- if you want just ID=40 here you can filter it
--  
/*  R e s u l t :
        ID         RN START_DATE START_TIME END_DATE  END_TIME P_FROM    P_UNTILL        MINS
---------- ---------- ---------- ---------- --------- -------- --------- --------- ----------
         4          1 20-NOV-22  00:00:00   25-NOV-22 00:00:00 20-NOV-22 28-NOV-22       7200 
         4          4 26-NOV-22  00:00:00   28-NOV-22 00:00:00 20-NOV-22 28-NOV-22       2880 
        40          1 20-NOV-22  00:00:00   25-NOV-22 00:00:00 20-NOV-22 28-NOV-22       7200 
        40          5 25-NOV-22  18:30:00   25-NOV-22 19:30:00 20-NOV-22 28-NOV-22         30 
        40          6 25-NOV-22  19:31:00   26-NOV-22 00:00:00 20-NOV-22 28-NOV-22          1 
        40          7 26-NOV-22  00:00:00   28-NOV-22 00:00:00 20-NOV-22 28-NOV-22       2880 
        50          1 20-NOV-22  00:00:00   25-NOV-22 00:00:00 20-NOV-22 28-NOV-22       7200 
        50          6 25-NOV-22  23:50:00   25-NOV-22 23:55:00 20-NOV-22 28-NOV-22          5 
        50          7 26-NOV-22  01:30:00   28-NOV-22 00:00:00 20-NOV-22 28-NOV-22       2790
*/
jgovgodb

jgovgodb2#

i think i could finally finish the job. mht_issuer_revoked_call is the name of the table where issuer requests are submitted.
With Merged_Recs as ( select issuerid, start_date_time as start_date, end_date_time as end_date FROM ( SELECT issuerid, LAG(dt) OVER(PARTITION BY issuerid ORDER BY dt) AS start_date_time, dt AS end_date_time, start_end FROM ( SELECT issuerid, dt, CASE SUM(value) OVER(PARTITION BY issuerid ORDER BY dt ASC, value DESC, ROWNUM) * value WHEN 1 THEN 'start' WHEN 0 THEN 'end' END AS start_end FROM mht_issuer_revoked_call UNPIVOT(dt FOR value IN(startdate AS 1, enddate AS - 1)) ) WHERE start_end IS NOT NULL ) WHERE start_end = 'end' ), my_tbl AS -- create CTE to prepare your data ( Select ISSUERID, ROW_NUMBER() OVER(Partition By ISSUERID Order By START_DATE) "RN", -- ordering ID events START_DATE "START_DATE", To_Char(START_DATE, 'hh24:mi:ss') "START_TIME", -- just showing the time part of START_DATE END_DATE "END_DATE", To_Char(END_DATE, 'hh24:mi:ss') "END_TIME", -- just showing the time part of END_DATE To_Date('20.11.2022', 'dd.mm.yyyy') "P_FROM", -- column with P_FROM - you could define it as bind variable To_Date('28.11.2022', 'dd.mm.yyyy') "P_UNTILL", -- column with P_FROM - you could define it as bind variable (END_DATE - START_DATE) * 24 * 60 "MINS" -- first calculation used for first and last row From ( Select * From ( -- for each ID create starting and ending row and union them with your data Select issuerid "ISSUERID", START_DATE "START_DATE", END_DATE "END_DATE" From Merged_Recs Union ALL -- row with P_FROM as START_DATE - you could define it as bind variable Select issuerid, To_Date('20.11.2022', 'dd.mm.yyyy'), Min(START_DATE) From Merged_Recs GROUP BY issuerid Union All -- row with P_UNTILL as END_DATE - you could define it as bind variable Select issuerid, Max(END_DATE), To_Date('28.11.2022', 'dd.mm.yyyy') From Merged_Recs GROUP BY issuerid) Order By ISSUERID, START_DATE ) ) select ISSUERID, START_DATE AS START_DATE, SELECTED_END_DATE AS END_DATE, MINS AS GAP_MINUTES from ( Select ISSUERID, RN, START_DATE, trunc(start_date), START_TIME, END_DATE, END_TIME, P_FROM, P_UNTILL, FIRST_VALUE(END_DATE) OVER(Partition By ISSUERID, TRUNC(START_DATE) Order By START_DATE Rows Between 1 Preceding And Current Row) as Selected_End_Date, CASE -- first and last row already calculated WHEN RN = 1 Or RN = Max(RN) OVER(Partition By ISSUERID) THEN MINS ELSE -- else --> second calculation for rows that are not first nor last Round((START_DATE - FIRST_VALUE(END_DATE)OVER(Partition By ISSUERID, TRUNC(START_DATE) Order By START_DATE Rows Between 1 Preceding And Current Row)) * 24 * 60,0) END "MINS" From my_tbl ) where mins > 0

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