Question

I heard many times that postgres handles exists queries even faster then left join. http://archives.postgresql.org/pgsql-performance/2002-12/msg00185.php

That s definitely true for one table aggregation.

But in our case their is more then one and the same query build with exists that make postgres to hang forever:

explain 
SELECT count(DISTINCT "groups".id) AS count_all 
FROM "groups"
WHERE (exists(
    select * from products p where groups.id = p.group_id AND exists(
        select * from products_categories pc where p.id = pc.product_id AND pc.category_id in (2,3))) AND groups.id != 3)

result:

 Aggregate  (cost=26413436.66..26413436.67 rows=1 width=4)
   ->  Seq Scan on groups  (cost=0.00..26413403.84 rows=13126 width=4)
         Filter: ((id <> 3) AND (subplan))
         SubPlan
           ->  Index Scan using index_products_on_group_id on products p  (cost=0.00..1006.13 rows=1 width=1483)
                 Index Cond: ($1 = group_id)
                 Filter: (subplan)
                 SubPlan
                   ->  Seq Scan on products_categories pc  (cost=0.00..498.49 rows=1 width=8)
                         Filter: ((category_id = ANY ( {2,3} ::integer[])) AND ($0 = product_id))

That is the root cause of incredibly long execution time? Is that some kind of configuration problem?

Thanks, Bogdan.

Answer 1

Well, for each row in "groups", postgresql is doing a full scan of products_categories, which isn t good. Not necessarily a configuration problem, but perhaps the query could be stated without nesting subqueries like that?

SELECT count(DISTINCT "groups".id) AS count_all 
FROM "groups"
WHERE exists(
    select 1 from products p where groups.id = p.group_id
             join products_categories pc on pc.product_id = p.id
    where pc.category_id in (2,3)
    ) and groups.id <> 3

Also does products_categories have an index on product_id?

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