我需要帮助优化PostgreSQL查询,该查询使用带有时间戳字段的BETWEEN子句.
我有2张桌子:
ONE(int id_one(PK),datetime cut_time,int f1 . . .)
包含大约3394行
TWO(int id_two(PK),int id_one(FK),int f2 . . .)
包含大约4000000行
在FK id_one和cut_time上,PKs id_one和id_two上都有btree索引.
我想执行如下查询:
select o.id_one,Date(o.cut_time),o.f1,t.f2 from one o inner join two t ON (o.id_one = t.id_one) where o.cut_time between '2013-01-01' and '2013-01-31';
此查询在大约7秒内检索大约1.700.000行.
报告分析报告下面报告:
"Merge Join (cost=20000000003.53..20000197562.38 rows=1680916 width=24) (actual time=0.017..741.718 rows=1692345 loops=1)" " Merge Cond: (c.coilid = hf.coilid)" " -> Index Scan using pk_coils on coils c (cost=10000000000.00..10000000382.13 rows=1420 width=16) (actual time=0.008..4.539 rows=1404 loops=1)" " Filter: ((cut_time >= '2013-01-01 00:00:00'::timestamp without time zone) AND (cut_time <= '2013-01-31 00:00:00'::timestamp without time zone))" " Rows Removed by Filter: 1990" " -> Index Scan using idx_fk_lf_data on hf_data hf (cost=10000000000.00..10000166145.90 rows=4017625 width=16) (actual time=0.003..392.535 rows=1963386 loops=1)" "Total runtime: 768.473 ms"
不使用timestamp列上的索引.如何优化此查询?
解决方法
查询在不到一秒的时间内执行.其他6秒用于服务器和客户端之间的流量.