我在 MySQL 表中查询为特定 x/y/z 坐标记录的事件(对于游戏插件,仅供参考)。此查询是使用右连接编写的,以排除在完全相同坐标处具有较新条目的记录。
然而,这是一个性能杀手。
例如,一个查询返回大约 32k 个结果(它们通常不会这么高,但我需要解决根本问题) -如果没有正确的连接比较,它需要:33373 行集合(0.19 秒)。
使用正确的连接,它需要 32955 行集合(3 分 7.99 秒)
3分钟太长了。
这是一个包含右连接的示例查询:
SELECT prism_actions.id, prism_actions.action_time, prism_actions.action_type, prism_actions.player, prism_actions.world, prism_actions.x, prism_actions.y, prism_actions.z, prism_actions.data, DATE_FORMAT(prism_actions.action_time, '%c/%e/%y') display_date, DATE_FORMAT(prism_actions.action_time, '%l:%i%p') display_time
FROM prism_actions
RIGHT JOIN (SELECT action_type, x, y, z, max(action_time) as action_time FROM prism_actions GROUP BY action_type, x, y, z) latest
ON prism_actions.action_time = latest.action_time
AND prism_actions.x = latest.x
AND prism_actions.y = latest.y
AND prism_actions.z = latest.z
AND prism_actions.action_type = latest.action_type
WHERE world = 'world'
AND (prism_actions.action_type = 'creeper-explode' OR prism_actions.action_type = 'entity-explode' OR prism_actions.action_type = 'tnt-explode' OR prism_actions.action_type = 'block-burn')
AND LEFT(prism_actions.action_type,5) != 'prism'
AND (prism_actions.x BETWEEN 2412.0286793077976 AND 2612.0286793077976)
AND (prism_actions.y BETWEEN -25.5 AND 174.5)
AND (prism_actions.z BETWEEN -2650.697295131335 AND -2450.697295131335)
ORDER BY prism_actions.action_time ASC, x ASC, z ASC, y ASC, id ASC
LIMIT 0,1000000
没有,就是简单地删除正确的连接。
所以我的问题是:
- 这是处理排除具有较新条目的记录的最佳方法吗?
- 如果是这样,我可以做些什么来提高性能吗?
我使用这样的查询的原因是我的软件需要按时间戳排序的结果,但应该始终只知道每个 x/y/z 的最新活动,否则会发生冲突。
表结构:
CREATE TABLE IF NOT EXISTS `prism_actions` (
`id` int(11) unsigned NOT NULL auto_increment,
`action_time` datetime NOT NULL,
`action_type` varchar(25) NOT NULL,
`player` varchar(16) NOT NULL,
`world` varchar(255) NOT NULL,
`x` int(11) NOT NULL,
`y` int(11) NOT NULL,
`z` int(11) NOT NULL,
`data` varchar(255) NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=MyISAM DEFAULT CHARSET=latin1;
解释上述查询的非常减少的区域的结果:
+----+-------------+---------------+------+---------------+------+---------+------+------+----------------------------------------------+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra |
+----+-------------+---------------+------+---------------+------+---------+------+------+----------------------------------------------+
| 1 | PRIMARY | <derived2> | ALL | NULL | NULL | NULL | NULL | 1870 | Using where; Using temporary; Using filesort |
| 1 | PRIMARY | prism_actions | ALL | NULL | NULL | NULL | NULL | 1970 | Using where |
| 2 | DERIVED | prism_actions | ALL | NULL | NULL | NULL | NULL | 1970 | Using temporary; Using filesort |
+----+-------------+---------------+------+---------------+------+---------+------+------+----------------------------------------------+
3 rows in set (0.04 sec)