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 'SMALL BRUSHED%' and p_size in (25, 20, 30, 29, 47, 33, 12, 38) 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=456740.94..456810.67 rows=27894 width=40) Sort Key: (count(DISTINCT partsupp.ps_suppkey)), part.p_brand, part.p_type, part.p_size -> GroupAggregate (cost=446966.31..454681.29 rows=27894 width=40) -> Sort (cost=446966.31..448453.52 rows=594883 width=40) Sort Key: part.p_brand, part.p_type, part.p_size -> Hash Join (cost=58003.52..389910.35 rows=594883 width=40) Hash Cond: (partsupp.ps_partkey = part.p_partkey) -> Seq Scan on partsupp (cost=8.48..270966.48 rows=4000000 width=8) Filter: (NOT (hashed SubPlan 1)) SubPlan 1 -> Index Scan using supplier_s_suppkey_idx_like on supplier (cost=0.00..8.45 rows=10 width=4) -> Hash (cost=54275.95..54275.95 rows=297527 width=40) -> Bitmap Heap Scan on part (cost=5740.63..54275.95 rows=297527 width=40) Recheck Cond: (p_size = ANY ('{25,20,30,29,47,33,12,38}'::integer[])) Filter: ((p_brand <> 'Brand#25'::bpchar) AND ((p_type)::text !~~ 'SMALL BRUSHED%'::text)) -> Bitmap Index Scan on part_p_size_idx (cost=0.00..5666.25 rows=320533 width=0) Index Cond: (p_size = ANY ('{25,20,30,29,47,33,12,38}'::integer[])) (17 rows) COMMIT; COMMIT