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Postgres Managing more than one one to many relationship in query

Context

I am writing an application that does a variation on the Vehicle Routing Problem. The application has routes, stops and driving directions for routes. I need to write a query for a view that combines all the relevant attributes for a route. Hence I need to join the routes table to multiple many to many relationships in a single query.

Query Details

There is the routes table, the route_stop_join table and the route directions table. The relationship between routes and stops is really many to many but we only need a list of stop ids, so suffices to consider the one to many relationship with the join table. The following query counts the sums n time where n is the number of stops:

select     r.id, 
           array_agg(j.stop_id) as stops, 
           sum(rd.time_elapsed) as total_time, 
           sum(rd.drive_distance) as total_distance 
from       routes_directions rd 
right join routes r 
on         rd.route_id = r.id 
left join  routes_stops_join j 
on         r.id = j.route_id 
group by   r.id;

I can do this using a subselect like this:

select rj.id, 
       rj.stops, 
       sum(rd.time_elapsed) as total_time, 
       sum(rd.drive_distance) as total_distance 
from   routes_directions rd 
right join (select r.id, 
                   array_agg(j.stop_id) as stops 
            from  routes r 
            left join routes_stops_join j 
            on r.id = j.route_id 
            group by r.id) rj 
on       rj.id = rd.route_id 
group by rj.id, rj.stops;

but I would like to see if there is a way to do this in a single query without subselects.

over 4 years ago · Santiago Trujillo
1 answers
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0

As far as this query returns 99% of the information you need:

select     rd.id, 
           sum(rd.time_elapsed) as total_time, 
           sum(rd.drive_distance) as total_distance 
from       routes_directions rd 
group by   rd.id;

I'd suggest to use a subquery or a CTE, but using LEFT JOIN instead of RIGHT JOIN.

create table routes(id int);
insert into routes values (1),(2);
create table routes_stops(route_id int, stop_id int);
insert into routes_stops values (1,1),(1,2),(2,1),(2,3),(2,4);
create table routes_directions(route_id int, dir_id int, time_elapsed int, drive_distance int);
insert into routes_directions values (1,1,100,40),(1,2,60,60),(2,1,15,14),(2,3,20,30);
select rj.id, 
       rj.stops, 
       sum(rd.time_elapsed) as total_time, 
       sum(rd.drive_distance) as total_distance 
from   routes_directions rd 
left  join (select   r.id, 
                     array_agg(j.stop_id) as stops 
            from     routes r 
            left     join routes_stops j 
            on       r.id = j.route_id 
            group by r.id) rj 
on       rj.id = rd.route_id 
group by rj.id, rj.stops;
id | stops   | total_time | total_distance
-: | :------ | ---------: | -------------:
 2 | {1,3,4} |         35 |             44
 1 | {1,2}   |        160 |            100
with stp as
(
    select r.id, 
           array_agg(j.stop_id) as stops 
    from   routes r 
    left   join routes_stops j 
    on     r.id = j.route_id 
    group  by r.id
)
select     rd.route_id,
           stp.stops, 
           sum(rd.time_elapsed) as total_time, 
           sum(rd.drive_distance) as total_distance 
from       routes_directions rd 
left join  stp
on         stp.id = rd.route_id
group by   rd.route_id, stp.stops;
route_id | stops   | total_time | total_distance
-------: | :------ | ---------: | -------------:
       1 | {1,2}   |        160 |            100
       2 | {1,3,4} |         35 |             44

dbfiddle here

over 4 years ago · Santiago Trujillo Report
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