TreeSQL
This is just a prototype of an alternate SQL syntax to pull hierarchies.
A SQL that composes well and where the structure of the query matches the output of the query.
SELECT {
tracks: [SELECT {
addedAt: tp.added_at_timestamp,
trackNumber: tp.track_index,
track: (SELECT {
id: t.id
name: t.name,
durationMs: t.duration_ms,
trackNumer: t.track_number,
album: (SELECT a.name FROM spotify_albums AS a WHERE a.id = t.album_id),
artists: [SELECT {
id: art.id,
name: art.name
} FROM spotify_artists AS art
LEFT JOIN spotify_tracks_artists AS ta
ON ta.artist_id = art.id
WHERE ta.track_id = t.id],
} FROM spotify_tracks AS t WHERE t.id = tp.track_id)
} FROM spotify_tracks_playlists as tp WHERE tp.playlist_id = p.id]
} FROM spotify_playlists AS p WHERE p.id = ?
yields ->
{
"tracks": [
{
"addedAt": 1655612865000,
"trackNumber": 1.0,
"track": {
"id": "spotify:track:2HdUFfnpBSxj2AsqhdrVTo",
"name": "Reptilians - Chee Remix",
"durationMs": 226046,
"trackNumer": 0,
"album": "Reptilians (Chee Remix)",
"artists": [
{ "id": "spotify:artist:4YWj8sohRDjL9deiuRvEEY", "name": "Noisia" },
{ "id": "spotify:artist:54qqaSH6byJIb8eFWxe3Pj", "name": "Mefjus" },
{ "id": "spotify:artist:6dvHFhruyFyf26otoWOXKR", "name": "Hybris" },
{ "id": "spotify:artist:18fX4a2lpLLHmvJO2a5NkA", "name": "Chee" }
],
}
},
...
],
}
via ->
SELECT
json_object(
'tracks',
(
SELECT
json_group_array(
json_object(
'addedAt',
tp.added_at_timestamp,
'trackNumber',
tp.track_index,
'track',
(
SELECT
json_object(
'id',
t.id,
'name',
t.name,
'durationMs',
t.duration_ms,
'trackNumer',
t.track_number,
'album',
(
SELECT
a.name
FROM
spotify_albums AS a
WHERE
a.id = t.album_id
),
'artists',
(
SELECT
json_group_array(
json_object('id', art.id, 'name', art.name)
)
FROM
spotify_artists AS art
LEFT JOIN spotify_tracks_artists AS ta ON ta.artist_id = art.id
WHERE
ta.track_id = t.id
)
)
FROM
spotify_tracks AS t
WHERE
t.id = tp.track_id
)
)
)
FROM
spotify_tracks_playlists as tp
WHERE
tp.playlist_id = p.id
)
)
FROM
spotify_playlists AS p
WHERE
p.id = ?
Added bonus -- it compiles to plain SQL.