Die Idee ist, zuerst eine Liste mit eindeutigen Daten aus beiden Tabellen zu erstellen. Dann finden Sie für jedes solche Datum das nächste Datum (in diesem speziellen Fall werden die Daten nach Staat, Bezirk gruppiert, und das nächste Datum wird nach einem bestimmten Staat, Bezirk gesucht).
Jetzt haben wir also eine Liste der Bereiche, nach denen wir suchen. Jetzt können wir andere Tabellen unter den erforderlichen Bedingungen verbinden (für diese spezielle Aufgabe links verbinden):
select
r.state,
c.start_cong,
c.end_cong,
c.party,
coalesce(c.district, d.district) district,
d.start_dist,
d.end_dist,
start_comb,
end_comb,
case when d.district is not null then start_comb end final_start,
case when d.district is not null then end_comb end final_end
from (
with dates as (
select
*
from (
SELECT
c.state,
c.district,
start_cong date
FROM congressperson c
union
SELECT
c.state,
c.district,
end_cong
FROM congressperson c
union
SELECT
d.state,
d.district,
start_dist
FROM district d
union
SELECT
d.state,
d.district,
end_dist
FROM district d
) DATES
group by
state,
district,
date
order by
state,
district,
date
)
select
dates.state,
dates.district,
dates.date start_comb,
(select
d.date
from
dates d
where
d.state = dates.state and
d.district = dates.district and
d.date > dates.date
order by
d.date
limit 1
) end_comb
from
dates) r
left join congressperson c on
c.state = r.state and
c.district = r.district and
start_comb between c.start_cong and c.end_cong and
end_comb between c.start_cong and c.end_cong
left join district d on
d.state = r.state and
d.district = r.district and
start_comb between d.start_dist and d.end_dist and
end_comb between d.start_dist and d.end_dist
where
end_comb is not null
order by
r.state, coalesce(c.district, d.district), start_comb, end_comb, start_cong, end_cong
