I have a query on a typical EAV schema:
SELECT contacts.id
FROM contacts
LEFT OUTER JOIN (SELECT DISTINCT contacts_values.company_id AS company_id, contacts_values.id AS id
FROM contacts_values
WHERE contacts_values.field_id = '\x000000000000000000000000'
AND contacts_values.field_name = 'facebook'
AND nimble_contact_value_normalize(nimble_skip_long_values(contacts_values.value)) =
nimble_contact_value_normalize('http://www.facebook.com/jon.ferrara')) AS anon_1
ON anon_1.company_id = contacts.company_id AND anon_1.id = contacts.id
LEFT OUTER JOIN (SELECT DISTINCT contacts_values.company_id AS company_id, contacts_values.id AS id
FROM contacts_values
WHERE contacts_values.field_id = '\x000000000000000000000000'
AND contacts_values.field_name = 'last_name'
AND nimble_contact_value_normalize(nimble_skip_long_values(contacts_values.value)) =
nimble_contact_value_normalize('Ferrara')) AS anon_2
ON anon_2.company_id = contacts.company_id AND anon_2.id = contacts.id
JOIN contacts__aggregated AS contacts__aggregated_1
ON contacts__aggregated_1.company_id = contacts.company_id AND
contacts__aggregated_1.contact_id = contacts.id AND contacts__aggregated_1.field_name = 'names'
WHERE contacts.company_id = '\x4c2118ad54397f271b000000'
AND (anon_1.id IS NOT NULL OR anon_2.id IS NOT NULL)
ORDER BY contacts__aggregated_1.value ASC
LIMIT 30 OFFSET 0;
My problem is that the LIMIT clause in this query makes the planner choose a bad plan with nested loops: https://explain.depesz.com/s/Mute. Running the same query after SET ENABLE_NESTLOOP TO OFF
I am getting a much more efficient plan: https://explain.depesz.com/s/b5kn. Removing the LIMIT from the query results in a similar plan: https://explain.depesz.com/s/wDqE.
One thing that concerns me is that the cost of the LIMIT node in the bad nested loop plan is just a fraction of the cost of its subnode. But for the better merge join plan LIMIT node has the same cost as its subnode. How could it be this way? And what can I do to make the planner pick up a better plan?
We are running PostgreSQL 10.10.