Create nested json from sql query postgres 9.4

You should build a hierarchical query to get a hierarchical structure as a result.

You want to have many persons in a single json object, so use json_agg() to gather persons in a json array. Analogically, a person can have multiple cars and you should place cars belonging to a single person in a json array. The same applies to cars and wheels.

select
    json_build_object(
        'persons', json_agg(
            json_build_object(
                'person_name', p.name,
                'cars', cars
            )
        )
    ) persons
from person p
left join (
    select 
        personid,
        json_agg(
            json_build_object(
                'carid', c.id,    
                'type', c.type,
                'comment', 'nice car', -- this is constant
                'wheels', wheels
                )
            ) cars
    from
        car c
        left join (
            select 
                carid, 
                json_agg(
                    json_build_object(
                        'which', w.whichone,
                        'serial number', w.serialnumber
                    )
                ) wheels
            from wheel w
            group by 1
        ) w on c.id = w.carid
    group by personid
) c on p.id = c.personid;

The (formatted) result:

{
    "persons": [
        {
            "person_name": "Johny",
            "cars": [
                {
                    "carid": 1,
                    "type": "Toyota",
                    "comment": "nice car",
                    "wheels": [
                        {
                            "which": "front",
                            "serial number": 11
                        },
                        {
                            "which": "back",
                            "serial number": 12
                        }
                    ]
                },
                {
                    "carid": 2,
                    "type": "Fiat",
                    "comment": "nice car",
                    "wheels": [
                        {
                            "which": "front",
                            "serial number": 21
                        },
                        {
                            "which": "back",
                            "serial number": 22
                        }
                    ]
                }
            ]
        },
        {
            "person_name": "Freddy",
            "cars": [
                {
                    "carid": 3,
                    "type": "Opel",
                    "comment": "nice car",
                    "wheels": [
                        {
                            "which": "front",
                            "serial number": 3
                        }
                    ]
                }
            ]
        }
    ]
}

---

If you are not familiar with nested derived tables you may use common table expressions. This variant illustrates that the query should be built starting from the most nested object toward the highest level:

with wheels as (
    select 
        carid, 
        json_agg(
            json_build_object(
                'which', w.whichone,
                'serial number', w.serialnumber
            )
        ) wheels
    from wheel w
    group by 1
),
cars as (
    select 
        personid,
        json_agg(
            json_build_object(
                'carid', c.id,    
                'type', c.type,
                'comment', 'nice car', -- this is constant
                'wheels', wheels
                )
            ) cars
    from car c
    left join wheels w on c.id = w.carid
    group by c.personid
)
select
    json_build_object(
        'persons', json_agg(
            json_build_object(
                'person_name', p.name,
                'cars', cars
            )
        )
    ) persons
from person p
left join cars c on p.id = c.personid;

I've come up with this solution. It's quite compact and works in any given case. Not sure however what the impact is on performance when comparing to other solutions which make more use of json_build_object. The advantage of using row_to_json over json_build_object is that all the work is done under the hood, which makes the query more readable.

SELECT json_build_object('persons', json_agg(p)) persons
FROM (
       SELECT
         person.name person_name,
         (
           SELECT json_agg(row_to_json(c))
           FROM (
                  SELECT
                    id carid,
                    type,
                    (
                      SELECT json_agg(row_to_json(w))
                      FROM (
                             SELECT
                               whichone which,
                               serialnumber
                             FROM wheel
                             WHERE wheel.carid = car.id
                           ) w
                    )  wheels
                  FROM car
                  WHERE car.personid = person.id
                ) c
         ) AS        cars
       FROM person
) p