我正在使用 MySQL5,我目前有一个查询可以获取我需要的信息,但我觉得它可以在性能方面得到改进。
这是我构建的查询(大致遵循本指南):
SELECT d.*, dc.date_change, dc.cwd, h.name as hub
FROM livedata_dom AS d
LEFT JOIN ( SELECT dc1.*
FROM livedata_domcabling as dc1
LEFT JOIN livedata_domcabling AS dc2
ON dc1.dom_id = dc2.dom_id AND dc1.date_change < dc2.date_change
WHERE dc2.dom_id IS NULL
ORDER BY dc1.date_change desc) AS dc ON (d.id = dc.dom_id)
LEFT JOIN livedata_hub AS h ON (d.id = dc.dom_id AND dc.hub_id = h.id)
WHERE d.cluster = 'localhost'
GROUP BY d.id;
编辑:使用 ORDER BY + GROUP BY 来避免获得多个 dom 条目,以防“domcabling”有一个带有空 date_change 的条目和另一个带有相同“dom”日期的条目。
我觉得我正在用火箭筒杀死一只老鼠。此查询耗时 3 秒以上,“livedata_dom”和“livedata_domcabling”中只有大约 5k 个条目。此外,EXPLAIN 告诉我使用了 2 个文件排序:
+----+-------------+------------+--------+-----------------------------+-----------------------------+---------+-----------------+------+----------------------------------------------+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra |
+----+-------------+------------+--------+-----------------------------+-----------------------------+---------+-----------------+------+----------------------------------------------+
| 1 | PRIMARY | d | ALL | NULL | NULL | NULL | NULL | 3 | Using where; Using temporary; Using filesort |
| 1 | PRIMARY | <derived2> | ALL | NULL | NULL | NULL | NULL | 3 | |
| 1 | PRIMARY | h | eq_ref | PRIMARY | PRIMARY | 4 | dc.hub_id | 1 | |
| 2 | DERIVED | dc1 | ALL | NULL | NULL | NULL | NULL | 4 | Using filesort |
| 2 | DERIVED | dc2 | ref | livedata_domcabling_dc592d9 | livedata_domcabling_dc592d9 | 4 | live.dc1.dom_id | 2 | Using where; Not exists |
+----+-------------+------------+--------+-----------------------------+-----------------------------+---------+-----------------+------+----------------------------------------------+
如何更改此查询以使其更有效?
使用虚拟数据(如下提供),这是预期的结果:
+-----+-------+---------+--------+----------+------------+-----------+---------------------+------+-----------+
| id | mb_id | prod_id | string | position | name | cluster | date_change | cwd | hub |
+-----+-------+---------+--------+----------+------------+-----------+---------------------+------+-----------+
| 249 | 47 | 47 | 47 | 47 | SuperDOM47 | localhost | NULL | NULL | NULL |
| 250 | 48 | 48 | 48 | 48 | SuperDOM48 | localhost | 2014-04-16 05:23:00 | 32A | megahub01 |
| 251 | 49 | 49 | 49 | 49 | SuperDOM49 | localhost | NULL | 22B | megahub01 |
+-----+-------+---------+--------+----------+------------+-----------+---------------------+------+-----------+
基本上,每个“dom”条目都需要 1 行,其中
- 具有最高 date_change 的“domcabling”记录
- 如果记录不存在,我需要空字段
- 每个 dom 一个条目可能有一个空的 date_change 字段(空的日期时间字段被认为比任何其他日期时间都早)
- '集线器'的名称,当找到'domcabling'条目时,否则为null
为 3 个表创建 TABLE + dummy INSERT:
livedata_dom(大约 5000 个条目)
CREATE TABLE `livedata_dom` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`mb_id` varchar(12) NOT NULL,
`prod_id` varchar(8) NOT NULL,
`string` int(11) NOT NULL,
`position` int(11) NOT NULL,
`name` varchar(30) NOT NULL,
`cluster` varchar(9) NOT NULL,
PRIMARY KEY (`id`),
UNIQUE KEY `mb_id` (`mb_id`),
UNIQUE KEY `prod_id` (`prod_id`),
UNIQUE KEY `name` (`name`),
UNIQUE KEY `livedata_domgood_string_7bff074107b0e5a0_uniq` (`string`,`position`,`cluster`)
) ENGINE=InnoDB AUTO_INCREMENT=5485 DEFAULT CHARSET=latin1;
INSERT INTO `livedata_dom` VALUES (251,'49','49',49,49,'SuperDOM49','localhost'),(250,'48','48',48,48,'SuperDOM48','localhost'),(249,'47','47',47,47,'SuperDOM47','localhost');
livedata_domcabling(大约 10000 个条目并且增长缓慢)
CREATE TABLE `livedata_domcabling` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`dom_id` int(11) NOT NULL,
`hub_id` int(11) NOT NULL,
`cwd` varchar(3) NOT NULL,
`date_change` datetime DEFAULT NULL,
PRIMARY KEY (`id`),
KEY `livedata_domcabling_dc592d9` (`dom_id`),
KEY `livedata_domcabling_4366aa6e` (`hub_id`),
CONSTRAINT `dom_id_refs_id_73e89ce0c50bf0a6` FOREIGN KEY (`dom_id`) REFERENCES `livedata_dom` (`id`),
CONSTRAINT `hub_id_refs_id_179c89d8bfd74cdf` FOREIGN KEY (`hub_id`) REFERENCES `livedata_hub` (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=5397 DEFAULT CHARSET=latin1;
INSERT INTO `livedata_domcabling` VALUES (1,251,1,'22B',NULL),(2,250,1,'33A',NULL),(6,250,1,'32A','2014-04-16 05:23:00'),(5,250,1,'22B','2013-05-22 00:00:00');
livedata_hub(大约 100 个条目)
CREATE TABLE `livedata_hub` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`name` varchar(14) NOT NULL,
PRIMARY KEY (`id`),
UNIQUE KEY `name` (`name`)
) ENGINE=InnoDB AUTO_INCREMENT=98 DEFAULT CHARSET=latin;
INSERT INTO `livedata_hub` VALUES (1,'megahub01');