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#42' and p_type not like 'MEDIUM BRUSHED%' and p_size in (40, 10, 43, 50, 4, 41, 12, 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=456306.10..456375.55 rows=27779 width=40) Sort Key: (count(DISTINCT partsupp.ps_suppkey)), part.p_brand, part.p_type, part.p_size -> GroupAggregate (cost=446580.02..454255.77 rows=27779 width=40) -> Sort (cost=446580.02..448059.61 rows=591837 width=40) Sort Key: part.p_brand, part.p_type, part.p_size -> Hash Join (cost=57961.75..389838.12 rows=591837 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=54241.64..54241.64 rows=296302 width=40) -> Bitmap Heap Scan on part (cost=5732.46..54241.64 rows=296302 width=40) Recheck Cond: (p_size = ANY ('{40,10,43,50,4,41,12,20}'::integer[])) Filter: ((p_brand <> 'Brand#42'::bpchar) AND ((p_type)::text !~~ 'MEDIUM BRUSHED%'::text)) -> Bitmap Index Scan on part_p_size_idx (cost=0.00..5658.39 rows=319487 width=0) Index Cond: (p_size = ANY ('{40,10,43,50,4,41,12,20}'::integer[])) (17 rows) COMMIT; COMMIT