I'm trying to locate the cause of a slow query that hits 3 tables with records ranging from a few hundred thousand to a several million
Version
Current query
select count(*) as aggregate
from "tango"
where "lima" = juliet
and not exists(select 1
from "three_romeo" quebec_seven_oscar
where quebec_seven_oscar.six_two = tango.six_two
and quebec_seven_oscar."romeo" >= six_seven
and quebec_seven_oscar."three_seven" in
('partial_survey', 'survey_completed', 'wrong_number', 'moved'))
and ("mike" <= '2021-02-03 13:26:22' or "mike" is null)
and not exists(select 1
from "kilo_golf" as "delta"
where "delta"."to" = tango.six_two
and "two" = november
and "delta"."romeo" >= '2021-02-05 13:49:15')
and not exists(select 1
from "three_romeo" as "four"
where "four".foxtrot = tango.quebec_seven_victor
and "four"."three_seven" in ('deceased', 'block_calls', 'block_all'))
and "tango"."yankee" is null;
This is the analysis of the query in its current state - https://explain.depesz.com/s/Di51
It feels like the problematic area is in the tango
table
After reading another post (https://stackoverflow.com/a/50148594/682754) tried removing the or "mike" is null
and this helped quite a lot
https://explain.depesz.com/s/XgmB
Should I try and remove the not exists in favour of using joins?
Thanks
I don't think that using explicit joins will help you, since PostgreSQL converts NOT EXISTS
into an anti-join anyway.
But you spotted the problem: it is the OR
. I would recommend that you use a dynamic query: add the cindition only if mike
is not NULL rather than having a static query with OR
.