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#24' and p_type not like 'LARGE POLISHED%' and p_size in (47, 26, 10, 15, 16, 45, 38, 1) 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=456534.54..456604.22 rows=27872 width=40) Sort Key: (count(DISTINCT partsupp.ps_suppkey)), part.p_brand, part.p_type, part.p_size -> GroupAggregate (cost=446782.20..454476.67 rows=27872 width=40) -> Sort (cost=446782.20..448265.35 rows=593260 width=40) Sort Key: part.p_brand, part.p_type, part.p_size -> Hash Join (cost=58003.00..389893.60 rows=593260 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=54270.49..54270.49 rows=297294 width=40) -> Bitmap Heap Scan on part (cost=5739.31..54270.49 rows=297294 width=40) Recheck Cond: (p_size = ANY ('{47,26,10,15,16,45,38,1}'::integer[])) Filter: ((p_brand <> 'Brand#24'::bpchar) AND ((p_type)::text !~~ 'LARGE POLISHED%'::text)) -> Bitmap Index Scan on part_p_size_idx (cost=0.00..5664.99 rows=320367 width=0) Index Cond: (p_size = ANY ('{47,26,10,15,16,45,38,1}'::integer[])) (17 rows) COMMIT; COMMIT