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#21' and p_type not like 'PROMO PLATED%' and p_size in (1, 17, 21, 19, 27, 4, 9, 5) 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=456123.39..456193.27 rows=27950 width=40) Sort Key: (count(DISTINCT partsupp.ps_suppkey)), part.p_brand, part.p_type, part.p_size -> GroupAggregate (cost=446411.92..454059.20 rows=27950 width=40) -> Sort (cost=446411.92..447885.47 rows=589423 width=40) Sort Key: part.p_brand, part.p_type, part.p_size -> Hash Join (cost=58066.61..389918.84 rows=589423 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=54323.61..54323.61 rows=298133 width=40) -> Bitmap Heap Scan on part (cost=5773.28..54323.61 rows=298133 width=40) Recheck Cond: (p_size = ANY ('{1,17,21,19,27,4,9,5}'::integer[])) Filter: ((p_brand <> 'Brand#21'::bpchar) AND ((p_type)::text !~~ 'PROMO PLATED%'::text)) -> Bitmap Index Scan on part_p_size_idx (cost=0.00..5698.75 rows=321133 width=0) Index Cond: (p_size = ANY ('{1,17,21,19,27,4,9,5}'::integer[])) (17 rows) COMMIT; COMMIT