BEGIN; BEGIN EXPLAIN select p_brand, p_type, p_size, count(distinct ps_suppkey) as supplier_cnt from partsupp, part where p_partkey = ps_partkey and p_brand <> 'Brand#25' and p_type not like 'PROMO POLISHED%' and p_size in (13, 23, 2, 37, 12, 17, 31, 20) and ps_suppkey not in ( select s_suppkey from supplier where s_comment like '%Customer%Complaints%' ) group by p_brand, p_type, p_size order by supplier_cnt desc, p_brand, p_type, p_size; QUERY PLAN ------------------------------------------------------------------------------------------------------------------------------- Sort (cost=456385.74..456455.18 rows=27777 width=40) Sort Key: (count(DISTINCT partsupp.ps_suppkey)), part.p_brand, part.p_type, part.p_size -> GroupAggregate (cost=446650.73..454335.58 rows=27777 width=40) -> Sort (cost=446650.73..448132.15 rows=592566 width=40) Sort Key: part.p_brand, part.p_type, part.p_size -> Hash Join (cost=57950.02..389833.68 rows=592566 width=40) Hash Cond: (partsupp.ps_partkey = part.p_partkey) -> Seq Scan on partsupp (cost=16.34..270974.34 rows=4000000 width=8) Filter: (NOT (hashed SubPlan 1)) SubPlan 1 -> Index Scan using supplier_s_suppkey_idx_like on supplier (cost=0.00..16.09 rows=100 width=4) -> Hash (cost=54230.14..54230.14 rows=296283 width=40) -> Bitmap Heap Scan on part (cost=5729.82..54230.14 rows=296283 width=40) Recheck Cond: (p_size = ANY ('{13,23,2,37,12,17,31,20}'::integer[])) Filter: ((p_brand <> 'Brand#25'::bpchar) AND ((p_type)::text !~~ 'PROMO POLISHED%'::text)) -> Bitmap Index Scan on part_p_size_idx (cost=0.00..5655.75 rows=319133 width=0) Index Cond: (p_size = ANY ('{13,23,2,37,12,17,31,20}'::integer[])) (17 rows) COMMIT; COMMIT