Reputation: 1401
I have this query:
SELECT
a.id,
a.name,
count(b.id),
count(c.id),
count(e.id),
count(f.id)
FROM
organizations a
LEFT JOIN vessels b ON a.id = b.organization_id
LEFT JOIN licences c ON a.id = c.organization_id
LEFT JOIN fleets e ON a.id = e.organization_id
LEFT JOIN users f ON a.id = f.organization_id
GROUP BY a.id;
In all tables there's a proper index (on the primary index, and organization_id
), there's about 80 rows in organizations
, 400 in fleets
, 2900 in vessels
, 3000 in licences
and 10 in users
This query doesn't even succeed, it's stuck on copying to temp table
How should I re-work this query to make it work (fast) ?
id select_type table type possible_keys key key_len ref rows Extra
1 SIMPLE a index PRIMARY 4 1
1 SIMPLE b ref organisation_id organisation_id 4 fuel.a.id 70 Using index
1 SIMPLE c ref organisation_id organisation_id 4 fuel.a.id 15 Using index
1 SIMPLE e ref organisation_id organisation_id 4 fuel.a.id 5
1 SIMPLE f ref organization_id organization_id 5 fuel.a.id 1 Using index
Upvotes: 3
Views: 160
Reputation: 8109
Your joins do not depend on each other, that's why the temp tables are exploding.
A simple fix is to make:
SELECT
a.id,
a.name,
(select count(*) from vessels b where a.id = b.organization_id group by b.organization_id),
(select count(*) from licenses b where a.id = b.organization_id group by b.organization_id),
(select count(*) from fleets b where a.id = b.organization_id group by b.organization_id),
(select count(*) from users b where a.id = b.organization_id group by b.organization_id),
FROM
organizations a
It will be far more faster, if you do it like this:
SELECT
a.id,
a.name,
v.total,
w.total,
x.total,
y.total
FROM
organizations a
LEFT JOIN (select b.organizantion_id, count(*) total from vessels b group by b.organization_id) v on v.organization_id=a.id
LEFT JOIN (select b.organizantion_id, count(*) total from licenses b group by b.organization_id) w on w.organization_id=a.id
LEFT JOIN (select b.organizantion_id, count(*) total from fleets b group by b.organization_id) x on x.organization_id=a.id
LEFT JOIN (select b.organizantion_id, count(*) total from users b group by b.organization_id) y on y.organization_id=a.id
Upvotes: 8