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 BRUSHED%' and p_size in (25, 40, 44, 10, 41, 50, 35, 43) 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=456740.67..456810.50 rows=27931 width=40) Sort Key: (count(DISTINCT partsupp.ps_suppkey)), part.p_brand, part.p_type, part.p_size -> GroupAggregate (cost=446969.14..454678.03 rows=27931 width=40) -> Sort (cost=446969.14..448455.06 rows=594366 width=40) Sort Key: part.p_brand, part.p_type, part.p_size -> Hash Join (cost=58064.83..389966.49 rows=594366 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=54324.41..54324.41 rows=297927 width=40) -> Bitmap Heap Scan on part (cost=5773.41..54324.41 rows=297927 width=40) Recheck Cond: (p_size = ANY ('{25,40,44,10,41,50,35,43}'::integer[])) Filter: ((p_brand <> 'Brand#25'::bpchar) AND ((p_type)::text !~~ 'PROMO BRUSHED%'::text)) -> Bitmap Index Scan on part_p_size_idx (cost=0.00..5698.93 rows=321160 width=0) Index Cond: (p_size = ANY ('{25,40,44,10,41,50,35,43}'::integer[])) (17 rows) COMMIT; COMMIT