optimize the mysql query - mysql

Question

I have following mysql query which is taking long time(40s) to load the results.
SELECT SQL_CALC_FOUND_ROWS blog_posts.ID FROM blog_posts
LEFT JOIN blog_term_relationships AS tt0 ON (blog_posts.ID = tt0.object_id)
LEFT JOIN blog_term_relationships AS tt1 ON (blog_posts.ID = tt1.object_id)
LEFT JOIN blog_term_relationships AS tt2 ON (blog_posts.ID = tt2.object_id)
LEFT JOIN blog_term_relationships AS tt3 ON (blog_posts.ID = tt3.object_id)
WHERE 1=1
AND ( ( tt0.term_taxonomy_id IN (141,177) AND tt1.term_taxonomy_id IN (2389,2390) )
OR ( tt2.term_taxonomy_id IN (167,1169,1715) AND tt3.term_taxonomy_id IN (2519,2520) ) )
AND blog_posts.post_type = 'post' AND (blog_posts.post_status = 'publish')
GROUP BY blog_posts.ID ORDER BY blog_posts.post_date ASC LIMIT 0, 20
Is there any way to optimize this query.
Edit:
This is related to wordpress and this query was automatically create from the wp_query.
Table structures as bellow,
blog_posts table:
CREATE TABLE `blog_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(255) 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` longtext 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',
PRIMARY KEY (`ID`),
KEY `type_status_date` (`post_type`,`post_status`,`post_date`,`ID`),
KEY `post_parent` (`post_parent`),
KEY `post_author` (`post_author`),
KEY `post_name` (`post_name`(191))
) ENGINE=MyISAM AUTO_INCREMENT=125636 DEFAULT CHARSET=utf8
blog_term_relationships table:
CREATE TABLE `blog_term_relationships` (
`object_id` bigint(20) unsigned NOT NULL DEFAULT '0',
`term_taxonomy_id` bigint(20) unsigned NOT NULL DEFAULT '0',
`term_order` int(11) NOT NULL DEFAULT '0',
PRIMARY KEY (`object_id`,`term_taxonomy_id`),
KEY `term_taxonomy_id` (`term_taxonomy_id`)
) ENGINE=MyISAM DEFAULT CHARSET=utf8
EXPLAIN QUERY:
enter image description here

Answer 1

Reformulate
SELECT SQL_CALC_FOUND_ROWS blog_posts.ID
FROM (
(
SELECT object_id
FROM blog_term_relationships AS tt0
JOIN blog_term_relationships AS tt1 USING(object_id)
WHERE tt0.term_taxonomy_id IN (141,177)
AND tt1.term_taxonomy_id IN (2389,2390)
)
UNION DISTINCT
(
SELECT object_id
FROM blog_term_relationships AS tt2
JOIN blog_term_relationships AS tt3 USING(object_id)
WHERE tt2.term_taxonomy_id IN (167,1169,1715)
AND tt3.term_taxonomy_id IN (2519,2520) )
) AS tt
JOIN blog_posts ON blog_posts.ID = tt.object_id
WHERE blog_posts.post_type = 'post'
AND blog_posts.post_status = 'publish'
ORDER BY blog_posts.post_date ASC
LIMIT 0, 20
This gets rid of the GROUP BY and does several other things to speed up the query.
Prefix index
`post_name` varchar(200) NOT NULL DEFAULT '',
KEY `post_name` (`post_name`(191))
) ENGINE=MyISAM AUTO_INCREMENT=125636 DEFAULT CHARSET=utf8
Make up your mind -- 191 is for version 5.6 with utf8mb4 (which you have not specified); 191 is so close to 200, you may as well make it VARCHAR(191). Getting rid of the prefix index is likely to speed up some of your queries.
InnoDB
Don't use MyISAM, move to InnoDB. That is for performance, robustness, etc. That will coincidentally fix an inefficiency in KEY term_taxonomy_id).
SQL_CALC_FOUND_ROWS
SQL_CALC_FOUND_ROWS is costly. It's purpose is passe.