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#52' and p_type not like 'SMALL BRUSHED%' and p_size in (9, 4, 30, 18, 23, 13, 28, 37) 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=455817.23..455886.67 rows=27776 width=40) Sort Key: (count(DISTINCT partsupp.ps_suppkey)), part.p_brand, part.p_type, part.p_size -> GroupAggregate (cost=446139.28..453767.15 rows=27776 width=40) -> Sort (cost=446139.28..447609.30 rows=588009 width=40) Sort Key: part.p_brand, part.p_type, part.p_size -> Hash Join (cost=57953.82..389791.91 rows=588009 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=54234.04..54234.04 rows=296275 width=40) -> Bitmap Heap Scan on part (cost=5730.72..54234.04 rows=296275 width=40) Recheck Cond: (p_size = ANY ('{9,4,30,18,23,13,28,37}'::integer[])) Filter: ((p_brand <> 'Brand#52'::bpchar) AND ((p_type)::text !~~ 'SMALL BRUSHED%'::text)) -> Bitmap Index Scan on part_p_size_idx (cost=0.00..5656.65 rows=319253 width=0) Index Cond: (p_size = ANY ('{9,4,30,18,23,13,28,37}'::integer[])) (17 rows) COMMIT; COMMIT