BEGIN; BEGIN EXPLAIN select c_name, c_custkey, o_orderkey, o_orderdate, o_totalprice, sum(l_quantity) from customer, orders, lineitem where o_orderkey in ( select l_orderkey from lineitem group by l_orderkey having sum(l_quantity) > 312 ) and c_custkey = o_custkey and o_orderkey = l_orderkey group by c_name, c_custkey, o_orderkey, o_orderdate, o_totalprice order by o_totalprice desc, o_orderdate LIMIT 100; QUERY PLAN -------------------------------------------------------------------------------------------------------------------------------------- Limit (cost=10152340.69..10152343.44 rows=100 width=39) -> GroupAggregate (cost=10152340.69..10977968.40 rows=30022826 width=39) Group Key: orders.o_totalprice, orders.o_orderdate, customer.c_name, customer.c_custkey, orders.o_orderkey -> Sort (cost=10152340.69..10227397.75 rows=30022826 width=39) Sort Key: orders.o_totalprice, orders.o_orderdate, customer.c_name, customer.c_custkey, orders.o_orderkey -> Hash Join (cost=2884904.85..5602633.28 rows=30022826 width=39) Hash Cond: (lineitem.l_orderkey = orders.o_orderkey) -> Seq Scan on lineitem (cost=0.00..1666929.52 rows=60045652 width=8) -> Hash (cost=2791061.20..2791061.20 rows=7507492 width=39) -> Hash Join (cost=2177963.01..2791061.20 rows=7507492 width=39) Hash Cond: (orders.o_custkey = customer.c_custkey) -> Hash Join (cost=2108935.01..2609420.82 rows=7507492 width=20) Hash Cond: (orders.o_orderkey = lineitem_1.l_orderkey) -> Seq Scan on orders (cost=0.00..403671.84 rows=15014984 width=16) -> Hash (cost=2058300.28..2058300.28 rows=4050778 width=4) -> HashAggregate (cost=1967157.78..2017792.50 rows=4050778 width=8) Group Key: lineitem_1.l_orderkey Filter: (sum(lineitem_1.l_quantity) > 312::double precision) -> Seq Scan on lineitem lineitem_1 (cost=0.00..1666929.52 rows=60045652 width=8) -> Hash (cost=50278.00..50278.00 rows=1500000 width=23) -> Seq Scan on customer (cost=0.00..50278.00 rows=1500000 width=23) Planning time: 3.045 ms (22 rows) COMMIT; COMMIT