Question

是否有一些工具可以做到这一点？你给它一个SQL查询，它给出了建议。例如，我正在尝试优化以下查询：

Load (383.2ms)  SELECT COUNT(*) as plays, p.chosen_race as race, p.won as won, r.game_type as type FROM plays p, replays r WHERE p.replay_id = r.id AND r.is_public = 't' AND r.winner_known = 't' GROUP BY r.game_type, p.chosen_race, p.won ORDER BY r.game_type, p.chosen_race

EXPLAIN

 Aggregate  (cost=8389.92..8389.93 rows=1 width=4)
   ->  Hash Left Join  (cost=3570.69..8150.84 rows=95630 width=4)
         Hash Cond: (replays.id = players_replays_join.replay_id)
         ->  Hash Left Join  (cost=1785.34..3772.35 rows=38995 width=4)
               Hash Cond: (replays.id = plays.replay_id)
               ->  Seq Scan on replays  (cost=0.00..833.02 rows=15901 width=8)
                     Filter: (is_public AND ((state)::text = 'success'::text))
               ->  Hash  (cost=1110.82..1110.82 rows=41082 width=4)
                     ->  Seq Scan on plays  (cost=0.00..1110.82 rows=41082 width=4)
         ->  Hash  (cost=1110.82..1110.82 rows=41082 width=8)
               ->  Seq Scan on plays players_replays_join  (cost=0.00..1110.82 rows=41082 width=8)

我们该怎么解释那个输出？

Answer 1

您需要表格中的数据。

然后你可以使用EXPLAIN ANALYZE

http://www.postgresql.org/docs/9.0/interactive/using-explain.html

您可以添加和删除索引并比较时间。

给定查询，您如何知道要添加哪些索引？

1 个答案: