Ok, jeg insisterer seriøst på, at du tester dette på alle måder, før du bruger det i produktionen. Test især, hvad der sker, hvis der er FLERE overlapninger i 1 tidsrum.
Hvad denne forespørgsel gør, er at beregne varigheden af hvert tidsrum, og hvor meget overlap der er med andre tidsrum, der har et højere id.
select
t1.id,
t1.start_time,
t1.end_time,
t1.end_time - t1.start_time as duration,
sum(
if(t2.start_time < t1.start_time and t2.end_time > t1.end_time , t1.end_time - t1.start_time, 0) -- t2 completely around t1
+ if(t2.start_time >= t1.start_time and t2.end_time <= t1.end_time , t2.end_time - t2.start_time, 0) -- t2 completely within t1
+ if(t2.start_time < t1.start_time and t2.end_time > t1.start_time and t2.end_time < t1.end_time , t2.end_time - t1.start_time, 0) -- t2 starts before t1 starts and overlaps partially
+ if(t2.start_time < t1.end_time and t2.end_time > t1.end_time and t2.start_time > t1.start_time, t1.end_time - t2.start_time, 0) -- t2 starts before t1 ends and overlaps partially
) as overlap
from
times t1
left join times t2 on
t2.id > t1.id -- t2.id is greater than t1.id
and (
(t2.start_time < t1.start_time and t2.end_time > t1.end_time ) -- t2 completely around t1
or (t2.start_time >= t1.start_time and t2.end_time <= t1.end_time ) -- t2 completely within t1
or (t2.start_time < t1.start_time and t2.end_time > t1.start_time) -- t2 starts before t1 starts and overlaps
or (t2.start_time < t1.end_time and t2.end_time > t1.end_time ) -- t2 starts before t1 ends and overlaps
)
group by
t1.id
Så hvad du vil have i sidste ende er dette:
select
sum(t.duration) - sum(t.overlap) as filtered_duration
from
(
OTHER QUERY HERE
) as t
Så i sidste ende har du denne forespørgsel:
select
sum(t.duration) - sum(t.overlap) as filtered_duration
from
(
select
t1.id,
t1.start_time,
t1.end_time,
t1.end_time - t1.start_time as duration,
sum(
if(t2.start_time < t1.start_time and t2.end_time > t1.end_time , t1.end_time - t1.start_time, 0) -- t2 completely around t1
+ if(t2.start_time >= t1.start_time and t2.end_time <= t1.end_time , t2.end_time - t2.start_time, 0) -- t2 completely within t1
+ if(t2.start_time < t1.start_time and t2.end_time > t1.start_time and t2.end_time < t1.end_time , t2.end_time - t1.start_time, 0) -- t2 starts before t1 starts and overlaps partially
+ if(t2.start_time < t1.end_time and t2.end_time > t1.end_time and t2.start_time > t1.start_time, t1.end_time - t2.start_time, 0) -- t2 starts before t1 ends and overlaps partially
) as overlap
from
times t1
left join times t2 on
t2.id > t1.id -- t2.id is greater than t1.id
and (
(t2.start_time < t1.start_time and t2.end_time > t1.end_time ) -- t2 completely around t1
or (t2.start_time >= t1.start_time and t2.end_time <= t1.end_time ) -- t2 completely within t1
or (t2.start_time < t1.start_time and t2.end_time > t1.start_time) -- t2 starts before t1 starts and overlaps
or (t2.start_time < t1.end_time and t2.end_time > t1.end_time ) -- t2 starts before t1 ends and overlaps
)
group by
t1.id
) as t