Is it possible to calculate the effective shift time based on a start/end date and pauses in oracle sql

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I have an table in Oracle

shift_id timestamp_(oracle) type_
00000001 17/05/2022 08:00 0001
00000001 17/05/2022 09:00 0002
00000001 17/05/2022 09:15 0003
00000001 17/05/2022 12:00 0002
00000001 17/05/2022 13:00 0003
00000001 17/05/2022 15:00 0004

type 1 is starttime, type 2 is pause, type 3 is continue after pause, type 4 is end_time

I want to calculate the effective shift time, one way to do this in my opinion is to calculate the sum of all start and end times and substract them, for example:

(sum(type 0002) + sum (type 0004)) - (sum (type 0001) + sum (type 0003))

But how to do this in oracle sql?

I've tried: select shift_id, sum(to_number_to_char(timestamp_,'sssss') where (type_ = 0002 or type is 0004) group by shift_id

Then I get a result like 00000001, 82442 But the sum is not the right sum, it only calculates with seconds after midnight.

Question: How to get a result like: 00000001, 05:45

group-by sum oracle sql
2 Answers

Doing a LAG gives you access to the current and previous values

select 
  shift_id,
  typ,
  tstamp,
  lag(typ) over ( order by tstamp ) prev_typ,
  lag(tstamp) over ( order by tstamp ) prev_tstamp
from ...

Once you have that, then you can work out intervals as required, eg

select 
  shift_id,
  min(case when typ = 1 then tstamp end ) start_time
  max(case when typ = 4 then tstamp end ) end_time
  sum(case when typ in (2,4) then tstamp - prev_tstamp  end ) 
from 
  ( < above > 
group by shift_id

or similar depending on how you want to slice and dice

user_73672930

You can use LAG window function to calculate the time differencea and thn SUM it to get the total amount -

CALC AS (SELECT d.*,
                EXTRACT(DAY FROM timestamp_oracle - LAG(timestamp_oracle) OVER(PARTITION BY shift_id ORDER BY timestamp_oracle)) * 24 * 60 +
                EXTRACT(HOUR FROM timestamp_oracle - LAG(timestamp_oracle) OVER(PARTITION BY shift_id ORDER BY timestamp_oracle)) * 60 +  
                EXTRACT(MINUTE FROM timestamp_oracle - LAG(timestamp_oracle) OVER(PARTITION BY shift_id ORDER BY timestamp_oracle)) tm
  FROM data d)
  SELECT shift_id,
         TRUNC(ROUND(SUM(CASE WHEN type_ <> '0003' then tm else null end))/ 60) || ':' ||
         MOD(ROUND(SUM(CASE WHEN type_ <> '0003' then tm else null end)), 60) tot_tm
    from calc
   GROUP BY shift_id;

Demo.

user_36277560
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