A group of consecutive dates to get some absences (days, hours, minutes) and incidents

Hello

I'm trying to calculate and history of lack of list based on the details of lack follows.

Here is what I got: (sorry for the dotted lines between the two, I put it just to format the data)

EMP_ID - WORK_DT - PM - REASON - PAID
=====-----=======------===-=====-- -- ====
123---06/01/2009---8.0---malades---PAYE
123---07/01/2009---8.0---malades---PAYE
123---08/01/2009---8.0---malades---PAYE
123---09/01/2009---8.0---malades---PAYE
123---16/01/2009---8.0---FMLA EMP - paid
123---17/02/2009---8.0---malades---PAYE
123---18/02/2009---8.0---malades---PAYE
123---30/03/2009---8.0---jure - paid
123---21/05/2009---4.0---malades---PAYE
123---22/05/2009---4.0---malades---PAYE
123---03/07/2009---8.0---malades---PAYE
123---25/08/2009---8.0---FMLA EMP - paid
123---26/08/2009---4.5---FMLA EMP - paid
123---21/09/2009---8.0---malades---non paid
123---22/09/2009---8.0---malades---non paid

I need to consolidate absences consecutive full day (8 hours) and show Start_dt, End_Dt, and also to calculate the duration of the absence in days, hours, min. If there is lack of half day (single or consecutive) is not followed by 8 hours, then they should be considered as a new incident (5/21 and 5/22). If the absence of half-day is followed by the absence of all day while they should be grouped together (8/25 and 8/26).

So for the data mentioned above the result should look like:

EMP_ID - START_DT - END_DT - DAYS - HOURS - minutes - INCIDENT - REASON - PAID
===---====== ---- ====== -- === - ==== - === - ====== - ====== -- -- =======
123 4 06/01/2009-01/09/2009 - 0---0---1 - disease - paid
123-16/01/2009 1-16/01/2009 - 0---0---2 - FMLA EMP - paid
123 2 17/02/2009-02/18/2009 - 0---0---3 - disease - paid
123 03/30/2009 1-30/03/2009 - 0---0---4 - Jury service - paid
123 21/05/2009 0 - 21/05/2009 - 4---0---5 - disease - paid
123 22/05/2009 0 - 22/05/2009 - 4---0---6 - disease - paid
123 03/07/2009 1-2009-03-07 - 0---0---7 - disease - paid
123-25/08/2009 1-08/26/2009 - 4-30-8 - EMP - paid FMLA
123 21/09/2009-22/09/2009-2-0-0-9 - disease - unpaid

I am able to group them to gether and get start_dt, end_dt and total days, hours as well as incident to help

Work_Dt - Row_Number() over (order of MIN (Work_Dt) and)
Row_Number() (order MIN (Work_Dt)

but it includes absences consecutive half-day (5/21 and 5/22) together as a single incident that should be considered as separate incidents. any idea or help in this case will be a great help.

Thank you

Stéphane wrote:

I'm trying to calculate and history of lack of list based on the details of lack follows.

As promised:

with t as (
           select 123 EMP_ID,to_date('01/06/2009','mm/dd/yyyy') WORK_DT,8.0 HRS,'Sick' REASON,'Paid' PAID from dual union all
           select 123,to_date('01/07/2009','mm/dd/yyyy'),8.0,'Sick','Paid' from dual union all
           select 123,to_date('01/08/2009','mm/dd/yyyy'),8.0,'Sick','Paid' from dual union all
           select 123,to_date('01/09/2009','mm/dd/yyyy'),8.0,'Sick','Paid' from dual union all
           select 123,to_date('01/16/2009','mm/dd/yyyy'),8.0,'FMLA EMP','Paid' from dual union all
           select 123,to_date('02/17/2009','mm/dd/yyyy'),8.0,'Sick','Paid' from dual union all
           select 123,to_date('02/18/2009','mm/dd/yyyy'),8.0,'Sick','Paid' from dual union all
           select 123,to_date('03/30/2009','mm/dd/yyyy'),8.0,'Jury Service','Paid' from dual union all
           select 123,to_date('05/21/2009','mm/dd/yyyy'),4.0,'Sick','Paid' from dual union all
           select 123,to_date('05/22/2009','mm/dd/yyyy'),4.0,'Sick','Paid' from dual union all
           select 123,to_date('07/03/2009','mm/dd/yyyy'),8.0,'Sick','Paid' from dual union all
           select 123,to_date('08/25/2009','mm/dd/yyyy'),8.0,'FMLA EMP','Paid' from dual union all
           select 123,to_date('08/26/2009','mm/dd/yyyy'),4.5,'FMLA EMP','Paid' from dual union all
           select 123,to_date('09/21/2009','mm/dd/yyyy'),8.0,'Sick','Unpaid' from dual union all
           select 123,to_date('09/22/2009','mm/dd/yyyy'),8.0,'Sick','Unpaid' from dual
          )
select  EMP_ID,
        MIN(WORK_DT) START_DT,
        MAX(WORK_DT) END_DT,
        TRUNC(SUM(HRS) / 8) DAYS,
        TRUNC(MOD(SUM(HRS),8)) HOURS,
        MOD(SUM(HRS),1) * 60 MINs,
        INCIDENT,
        REASON,
        PAID
  from  (
         select  EMP_ID,
                 WORK_DT,
                 HRS,
                 REASON,
                 PAID,
                 sum(start_of_incident) over(partition by EMP_ID order by WORK_DT) INCIDENT
           from  (
                  select  t.*,
                          case
                            when     lag(WORK_DT,1,WORK_DT) over(partition by EMP_ID order by WORK_DT) = WORK_DT - 1
                                 and
                                     lag(HRS,1,8) over(partition by EMP_ID order by WORK_DT) = 8
                                 and
                                     lag(REASON,1,REASON) over(partition by EMP_ID order by WORK_DT) = REASON
                                 and
                                     lag(PAID,1,PAID) over(partition by EMP_ID order by WORK_DT) = PAID
                              then 0
                            else 1
                          end start_of_incident
                    from  t
                 )
        )
  group by EMP_ID,
           INCIDENT,
           REASON,
           PAID
  order by EMP_ID,
           INCIDENT
/

    EMP_ID START_DT   END_DT           DAYS      HOURS       MINS   INCIDENT REASON       PAID
---------- ---------- ---------- ---------- ---------- ---------- ---------- ------------ ------
       123 01/06/2009 01/09/2009          4          0          0          1 Sick         Paid
       123 01/16/2009 01/16/2009          1          0          0          2 FMLA EMP     Paid
       123 02/17/2009 02/18/2009          2          0          0          3 Sick         Paid
       123 03/30/2009 03/30/2009          1          0          0          4 Jury Service Paid
       123 05/21/2009 05/21/2009          0          4          0          5 Sick         Paid
       123 05/22/2009 05/22/2009          0          4          0          6 Sick         Paid
       123 07/03/2009 07/03/2009          1          0          0          7 Sick         Paid
       123 08/25/2009 08/26/2009          1          4         30          8 FMLA EMP     Paid
       123 09/21/2009 09/22/2009          2          0          0          9 Sick         Unpaid

9 rows selected.

SQL>

SY.

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