在WordPress MySQL查询上摆脱filesort
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我管理的一个WordPress实例大约每天一次,因为这个怪物MySQL查询花了太长时间：
SELECT SQL_CALC_FOUND_ROWS distinct wp_posts.*
FROM wp_posts
LEFT JOIN wp_term_relationships ON (wp_posts.ID = wp_term_relationships.object_id) LEFT JOIN wp_term_taxonomy ON wp_term_taxonomy.term_taxonomy_id = wp_term_relationships.term_taxonomy_id LEFT JOIN wp_ec3_schedule ec3_sch ON ec3_sch.post_id=id
WHERE 1=1 AND wp_posts.ID NOT IN ( SELECT tr.object_id
FROM wp_term_relationships AS tr INNER JOIN wp_term_taxonomy AS tt ON tr.term_taxonomy_id = tt.term_taxonomy_id
WHERE tt.taxonomy = 'category' AND tt.term_id IN ('1050') ) AND wp_posts.post_type = 'post' AND (wp_posts.post_status = 'publish') AND NOT EXISTS (SELECT *
FROM wp_term_relationships JOIN wp_term_taxonomy ON wp_term_taxonomy.term_taxonomy_id = wp_term_relationships.term_taxonomy_id
WHERE wp_term_relationships.object_id = wp_posts.ID AND wp_term_taxonomy.taxonomy = 'category' AND wp_term_taxonomy.term_id IN (533,3567) ) AND ec3_sch.post_id IS NULL GROUP BY wp_posts.ID ORDER BY wp_posts.post_date DESC LIMIT 0, 10;
我该怎么做才能摆脱非常慢的文件流？我认为多列type_status_date索引足够快.
EXPLAIN EXTENDED输出如下.
+----+--------------------+-----------------------+--------+-----------------------------------+------------------+---------+---------------------------------------------------------------------------------+------+----------------------------------------------+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra |
+----+--------------------+-----------------------+--------+-----------------------------------+------------------+---------+---------------------------------------------------------------------------------+------+----------------------------------------------+
| 1 | PRIMARY | wp_posts | ref | type_status_date | type_status_date | 124 | const,const | 7034 | Using where; Using temporary; Using filesort |
| 1 | PRIMARY | wp_term_relationships | ref | PRIMARY | PRIMARY | 8 | bwog_wordpress_w.wp_posts.ID | 373 | Using index |
| 1 | PRIMARY | wp_term_taxonomy | eq_ref | PRIMARY | PRIMARY | 8 | bwog_wordpress_w.wp_term_relationships.term_taxonomy_id | 1 | Using index |
| 1 | PRIMARY | ec3_sch | ref | post_id_index | post_id_index | 9 | bwog_wordpress_w.wp_posts.ID | 1 | Using where; Using index |
| 3 | DEPENDENT SUBQUERY | wp_term_taxonomy | range | PRIMARY,term_id_taxonomy,taxonomy | term_id_taxonomy | 106 | NULL | 2 | Using where |
| 3 | DEPENDENT SUBQUERY | wp_term_relationships | eq_ref | PRIMARY,term_taxonomy_id | PRIMARY | 16 | bwog_wordpress_w.wp_posts.ID,bwog_wordpress_w.wp_term_taxonomy.term_taxonomy_id | 1 | Using index |
| 2 | DEPENDENT SUBQUERY | tt | const | PRIMARY,term_id_taxonomy,taxonomy | term_id_taxonomy | 106 | const,const | 1 | |
| 2 | DEPENDENT SUBQUERY | tr | eq_ref | PRIMARY,term_taxonomy_id | PRIMARY | 16 | func,const | 1 | Using index |
+----+--------------------+-----------------------+--------+-----------------------------------+------------------+---------+---------------------------------------------------------------------------------+------+----------------------------------------------+
8 rows in set, 2 warnings (0.05 sec)
和CREATE TABLE：
CREATE TABLE `wp_posts` (
`ID` bigint(20) unsigned NOT NULL auto_increment,
`post_author` bigint(20) unsigned NOT NULL default '0',
`post_date` datetime NOT NULL default '0000-00-00 00:00:00',
`post_date_gmt` datetime NOT NULL default '0000-00-00 00:00:00',
`post_content` longtext NOT NULL,
`post_title` text NOT NULL,
`post_excerpt` text NOT NULL,
`post_status` varchar(20) NOT NULL default 'publish',
`comment_status` varchar(20) NOT NULL default 'open',
`ping_status` varchar(20) NOT NULL default 'open',
`post_password` varchar(20) NOT NULL default '',
`post_name` varchar(200) NOT NULL default '',
`to_ping` text NOT NULL,
`pinged` text NOT NULL,
`post_modified` datetime NOT NULL default '0000-00-00 00:00:00',
`post_modified_gmt` datetime NOT NULL default '0000-00-00 00:00:00',
`post_content_filtered` text NOT NULL,
`post_parent` bigint(20) unsigned NOT NULL default '0',
`guid` varchar(255) NOT NULL default '',
`menu_order` int(11) NOT NULL default '0',
`post_type` varchar(20) NOT NULL default 'post',
`post_mime_type` varchar(100) NOT NULL default '',
`comment_count` bigint(20) NOT NULL default '0',
`robotsmeta` varchar(64) default NULL,
PRIMARY KEY (`ID`),
KEY `post_name` (`post_name`),
KEY `type_status_date` (`post_type`,`post_status`,`post_date`,`ID`),
KEY `post_parent` (`post_parent`),
KEY `post_date` (`post_date`),
FULLTEXT KEY `post_related` (`post_title`,`post_content`)
)
警告：
mysql> SHOW warnings \G
*************************** 1. row ***************************
Level: Note
Code: 1276
Message: Field or reference 'bwog_wordpress_w.wp_posts.ID' of SELECT #3 was resolved in SELECT #1
*************************** 2. row ***************************
Level: Note
Code: 1003
Message: select distinct sql_calc_found_rows `bwog_wordpress_w`.`wp_posts`.`ID` AS `ID`,`bwog_wordpress_w`.`wp_posts`.`post_author` AS `post_author`,`bwog_wordpress_w`.`wp_posts`.`post_date` AS `post_date`,`bwog_wordpress_w`.`wp_posts`.`post_date_gmt` AS `post_date_gmt`,`bwog_wordpress_w`.`wp_posts`.`post_content` AS `post_content`,`bwog_wordpress_w`.`wp_posts`.`post_title` AS `post_title`,`bwog_wordpress_w`.`wp_posts`.`post_excerpt` AS `post_excerpt`,`bwog_wordpress_w`.`wp_posts`.`post_status` AS `post_status`,`bwog_wordpress_w`.`wp_posts`.`comment_status` AS `comment_status`,`bwog_wordpress_w`.`wp_posts`.`ping_status` AS `ping_status`,`bwog_wordpress_w`.`wp_posts`.`post_password` AS `post_password`,`bwog_wordpress_w`.`wp_posts`.`post_name` AS `post_name`,`bwog_wordpress_w`.`wp_posts`.`to_ping` AS `to_ping`,`bwog_wordpress_w`.`wp_posts`.`pinged` AS `pinged`,`bwog_wordpress_w`.`wp_posts`.`post_modified` AS `post_modified`,`bwog_wordpress_w`.`wp_posts`.`post_modified_gmt` AS `post_modified_gmt`,`bwog_wordpress_w`.`wp_posts`.`post_content_filtered` AS `post_content_filtered`,`bwog_wordpress_w`.`wp_posts`.`post_parent` AS `post_parent`,`bwog_wordpress_w`.`wp_posts`.`guid` AS `guid`,`bwog_wordpress_w`.`wp_posts`.`menu_order` AS `menu_order`,`bwog_wordpress_w`.`wp_posts`.`post_type` AS `post_type`,`bwog_wordpress_w`.`wp_posts`.`post_mime_type` AS `post_mime_type`,`bwog_wordpress_w`.`wp_posts`.`comment_count` AS `comment_count`,`bwog_wordpress_w`.`wp_posts`.`robotsmeta` AS `robotsmeta` from `bwog_wordpress_w`.`wp_posts` left join `bwog_wordpress_w`.`wp_term_relationships` on((`bwog_wordpress_w`.`wp_term_relationships`.`object_id` = `bwog_wordpress_w`.`wp_posts`.`ID`)) left join `bwog_wordpress_w`.`wp_term_taxonomy` on((`bwog_wordpress_w`.`wp_term_taxonomy`.`term_taxonomy_id` = `bwog_wordpress_w`.`wp_term_relationships`.`term_taxonomy_id`)) left join `bwog_wordpress_w`.`wp_ec3_schedule` `ec3_sch` on((`bwog_wordpress_w`.`ec3_sch`.`post_id` = `bwog_wordpress_w`.`wp_posts`.`ID`)) where ((not(<in_optimizer>(`bwog_wordpress_w`.`wp_posts`.`ID`,<exists>(select 1 AS `Not_used` from `bwog_wordpress_w`.`wp_term_relationships` `tr` join `bwog_wordpress_w`.`wp_term_taxonomy` `tt` where ((`bwog_wordpress_w`.`tr`.`term_taxonomy_id` = '3572') and ('category' = _utf8'category') and (<cache>(`bwog_wordpress_w`.`wp_posts`.`ID`) = `bwog_wordpress_w`.`tr`.`object_id`)))))) and (`bwog_wordpress_w`.`wp_posts`.`post_type` = _utf8'post') and (`bwog_wordpress_w`.`wp_posts`.`post_status` = _utf8'publish') and (not(exists(select 1 AS `Not_used` from `bwog_wordpress_w`.`wp_term_relationships` join `bwog_wordpress_w`.`wp_term_taxonomy` where ((`bwog_wordpress_w`.`wp_term_relationships`.`term_taxonomy_id` = `bwog_wordpress_w`.`wp_term_taxonomy`.`term_taxonomy_id`) and (`bwog_wordpress_w`.`wp_term_relationships`.`object_id` = `bwog_wordpress_w`.`wp_posts`.`ID`) and (`bwog_wordpress_w`.`wp_term_taxonomy`.`taxonomy` = _utf8'category') and (`bwog_wordpress_w`.`wp_term_taxonomy`.`term_id` in (533,3567)))))) and isnull(`bwog_wordpress_w`.`ec3_sch`.`post_id`)) group by `bwog_wordpress_w`.`wp_posts`.`ID` order by `bwog_wordpress_w`.`wp_posts`.`post_date` desc limit 10,10
2行(0.00秒)
解决方法:
由于GROUP BY,文件排序是不可避免的.然而：
> IN(SUBQUERY)在每一行上运行
连接表.执行该子查询
在前手作为一个独立的查询,然后替换(现在
静态)导致IN()函数.
>使用EXISTS(SUBQUERY)功能执行类似操作.
>考虑使用WordPress的超级缓存插件.
EXPLAIN中显示的警告是什么？
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