BEGIN; BEGIN EXPLAIN select c_custkey, c_name, sum(l_extendedprice * (1 - l_discount)) as revenue, c_acctbal, n_name, c_address, c_phone, c_comment from customer, orders, lineitem, nation where c_custkey = o_custkey and l_orderkey = o_orderkey and o_orderdate >= date '1994-10-01' and o_orderdate < cast(date '1994-10-01' + interval '3 month' as date) and l_returnflag = 'R' and c_nationkey = n_nationkey group by c_custkey, c_name, c_acctbal, c_phone, n_name, c_address, c_comment order by revenue desc LIMIT 20; QUERY PLAN ----------------------------------------------------------------------------------------------------------------------------------------------------------- Limit (cost=2275298.57..2275298.62 rows=20 width=176) -> Sort (cost=2275298.57..2276740.71 rows=576858 width=176) Sort Key: (sum((lineitem.l_extendedprice * (1::double precision - lineitem.l_discount)))) -> HashAggregate (cost=2254180.00..2259948.58 rows=576858 width=176) Group Key: customer.c_custkey, customer.c_name, customer.c_acctbal, customer.c_phone, nation.n_name, customer.c_address, customer.c_comment -> Hash Join (cost=344567.99..2239758.55 rows=576858 width=176) Hash Cond: (customer.c_nationkey = nation.n_nationkey) -> Hash Join (cost=344566.42..2231825.19 rows=576858 width=154) Hash Cond: (orders.o_custkey = customer.c_custkey) -> Hash Join (cost=275538.42..2154144.32 rows=576858 width=12) Hash Cond: (lineitem.l_orderkey = orders.o_orderkey) -> Seq Scan on lineitem (cost=0.00..1817043.65 rows=14878312 width=12) Filter: (l_returnflag = 'R'::bpchar) -> Hash (cost=268261.46..268261.46 rows=582157 width=8) -> Bitmap Heap Scan on orders (cost=6007.11..268261.46 rows=582157 width=8) Recheck Cond: ((o_orderdate >= '1994-10-01'::date) AND (o_orderdate < '1995-01-01'::date)) -> Bitmap Index Scan on orders_o_orderkey_o_orderdate_brin_idx (cost=0.00..5861.57 rows=582157 width=0) Index Cond: ((o_orderdate >= '1994-10-01'::date) AND (o_orderdate < '1995-01-01'::date)) -> Hash (cost=50278.00..50278.00 rows=1500000 width=146) -> Seq Scan on customer (cost=0.00..50278.00 rows=1500000 width=146) -> Hash (cost=1.25..1.25 rows=25 width=30) -> Seq Scan on nation (cost=0.00..1.25 rows=25 width=30) Planning time: 3.046 ms (23 rows) COMMIT; COMMIT