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#45' and p_type not like 'LARGE POLISHED%' and p_size in (22, 19, 11, 29, 44, 12, 6, 39) 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=455763.47..455832.60 rows=27651 width=40) Sort Key: (count(DISTINCT partsupp.ps_suppkey)), part.p_brand, part.p_type, part.p_size -> GroupAggregate (cost=446091.97..453723.52 rows=27651 width=40) -> Sort (cost=446091.97..447562.98 rows=588403 width=40) Sort Key: part.p_brand, part.p_type, part.p_size -> Hash Join (cost=57861.97..389704.00 rows=588403 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=54158.91..54158.91 rows=294938 width=40) -> Bitmap Heap Scan on part (cost=5691.58..54158.91 rows=294938 width=40) Recheck Cond: (p_size = ANY ('{22,19,11,29,44,12,6,39}'::integer[])) Filter: ((p_brand <> 'Brand#45'::bpchar) AND ((p_type)::text !~~ 'LARGE POLISHED%'::text)) -> Bitmap Index Scan on part_p_size_idx (cost=0.00..5617.85 rows=317813 width=0) Index Cond: (p_size = ANY ('{22,19,11,29,44,12,6,39}'::integer[])) (17 rows) COMMIT; COMMIT