我有这个 MySQL,它应该是正确的语法:
select c.cat_id,c.cat_name as cat_name,
c.cat_desc, c.cat_image, mi.filename,
l.link_id, l.user_id, l.address,l.city,
l.country,l.link_created,l.link_desc,
l.email,l.fax,l.link_hits, l.link_modified,
l.link_name,l.postcode, l.price,l.link_rating,
l.state,l.telephone,l.link_votes,
l.website, l.link_id, l.link_visited, cf.value
from j25_mt_cats as c,
j25_mt_links as l
LEFT OUTER JOIN j25_mt_cfvalues AS cf ON (cf.link_id = l.link_id),
j25_mt_images AS mi,
j25_mt_cl as cl
UNION ALL
select c.cat_id,c.cat_name as cat_name,
c.cat_desc, c.cat_image, mi.filename,
l.link_id, l.user_id, l.address,l.city,
l.country,l.link_created,l.link_desc,
l.email,l.fax,l.link_hits, l.link_modified,
l.link_name,l.postcode, l.price,l.link_rating,
l.state,l.telephone,l.link_votes,
l.website, l.link_id, l.link_visited, cf.value
FROM j25_mt_cats as c,
j25_mt_links as l
RIGHT OUTER JOIN j25_mt_cfvalues AS cf ON cf.link_id = l.link_id,
j25_mt_images AS mi,
j25_mt_cl as cl
where cf.cf_id = 40 and cl.link_id = l.link_id
AND mi.link_id = l.link_id AND mi.ordering < 2
AND c.cat_id = cl.cat_id and c.cat_published = 1
AND c.cat_approved = 1 and l.link_published = 1 and l.link_approved = 1
AND cf.link_id IS NULL;
查询在 tmp 目录中占用了 3GB 以上的空间,最终超时。我在这里遗漏了一些东西,我怎样才能提高效率?我的目标只是添加到现有查询中以从附加表 (j25_mt_cfvalues) 中获取值。
解释
:
+----+--------------+------------+-------+---------------+---------+---------+--------------------------+------+------------------+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra |
+----+--------------+------------+-------+---------------+---------+---------+--------------------------+------+------------------+
| 1 | PRIMARY | mi | ALL | NULL | NULL | NULL | NULL | 165 | |
| 1 | PRIMARY | c | ALL | NULL | NULL | NULL | NULL | 301 | |
| 1 | PRIMARY | l | ALL | NULL | NULL | NULL | NULL | 2139 | |
| 1 | PRIMARY | cf | ref | link_id | link_id | 4 | db_table.l.link_id | 2 | |
| 1 | PRIMARY | cl | index | NULL | PRIMARY | 4 | NULL | 2742 | Using index |
| 2 | UNION | NULL | NULL | NULL | NULL | NULL | NULL | NULL | Impossible WHERE |
| NULL | UNION RESULT | <union1,2> | ALL | NULL | NULL | NULL | NULL | NULL | |
+----+--------------+------------+-------+---------------+---------+---------+--------------------------+------+------------------+
j25_mt_cats 模式:
CREATE TABLE
j25_mt_cats
(cat_id
int(11) NOT NULL auto_increment,cat_name
varchar(255) NOT NULL,alias
varchar(255) NOT NULL,title
varchar(255) NOT NULL,cat_desc
text NOT NULL,cat_parent
int(11) NOT NULL default '0',cat_links
int(11) NOT NULL default '0',cat_cats
int(11) NOT NULL default '0',cat_featured
tinyint(4) NOT NULL default '0',cat_image
varchar(255) NOT NULL,cat_published
tinyint(4) NOT NULL default '0',cat_created
datetime NOT NULL default '0000-00-00 00:00:00',cat_approved
tinyint(4) NOT NULL default '0',cat_template
varchar(255) NOT NULL default '',cat_usemainindex
tinyint(4) NOT NULL default '0',cat_allow_submission
tinyint(4) NOT NULL default '1',cat_show_listings
tinyint(3) unsigned NOT NULL default '1',metakey
text NOT NULL,metadesc
text NOT NULL,ordering
int(11) NOT NULL default '0',lft
int(11) NOT NULL default '0',rgt
int(11) NOT NULL default '0', PRIMARY KEY (cat_id
), KEYcat_id
(cat_id
,cat_published
,cat_approved
), KEYcat_parent
(cat_parent
,cat_published
,cat_approved
,cat_cats
,cat_links
), KEYdtree
(cat_published
,cat_approved
), KEYlft_rgt
(lft
,rgt
), KEYfunc_getPathWay
(lft
,rgt
,cat_id
,cat_parent
), KEYalias
(alias
) ) ENGINE=MyISAM AUTO_INCREMENT=3851 DEFAULT CHARSET=utf8 |
j25_mt_links 架构:
CREATE TABLE
j25_mt_links
(link_id
int(11) NOT NULL auto_increment,link_name
varchar(255) NOT NULL,alias
varchar(255) NOT NULL,link_desc
mediumtext NOT NULL,user_id
int(11) NOT NULL default '0',link_hits
int(11) NOT NULL default '0',link_votes
int(11) NOT NULL default '0',link_rating
decimal(7,6) unsigned NOT NULL default '0.000000',link_featured
smallint(6) NOT NULL default '0',link_published
tinyint(4) NOT NULL default '0',link_approved
int(4) NOT NULL default '0',link_template
varchar(255) NOT NULL,attribs
text NOT NULL,metakey
text NOT NULL,metadesc
text NOT NULL,internal_notes
text NOT NULL,ordering
int(11) NOT NULL default '0',link_created
datetime NOT NULL default '0000-00-00 00:00:00',publish_up
datetime NOT NULL default '0000-00-00 00:00:00',publish_down
datetime NOT NULL default '0000-00-00 00:00:00',link_modified
datetime NOT NULL default '0000-00-00 00:00:00',link_visited
int(11) NOT NULL default '0',address
varchar(255) NOT NULL,city
varchar(255) NOT NULL,state
varchar(255) NOT NULL,country
varchar(255) NOT NULL,postcode
varchar(255) NOT NULL,telephone
varchar(255) NOT NULL,fax
varchar(255) NOT NULL,website
varchar(255) NOT NULL,price
double(9,2) NOT NULL default '0.00',lat
float(10,6) NOT NULL COMMENT 'Latitude',lng
float(10,6) NOT NULL COMMENT 'Longitude',zoom
tinyint(3) unsigned NOT NULL COMMENT 'Map''s zoom level', PRIMARY KEY (link_id
), KEYlink_rating
(link_rating
), KEYlink_votes
(link_votes
), KEYlink_name
(link_name
), KEYpublishing
(link_published
,link_approved
,publish_up
,publish_down
), KEYcount_listfeatured
(link_published
,link_approved
,link_featured
,publish_up
,publish_down
,link_id
), KEYcount_viewowner
(link_published
,link_approved
,user_id
,publish_up
,publish_down
), KEYmylisting
(user_id
,link_id
), FULLTEXT KEYlink_name_desc
(link_name
,link_desc
) ) ENGINE=MyISAM AUTO_INCREMENT=3229 DEFAULT CHARSET=utf8 |
j25_mt_cfvalues 架构:
CREATE TABLE
j25_mt_cfvalues
(id
int(11) NOT NULL auto_increment,cf_id
int(11) NOT NULL,link_id
int(11) NOT NULL,value
mediumtext NOT NULL,attachment
int(10) unsigned NOT NULL default '0',counter
int(11) NOT NULL default '0', PRIMARY KEY (id
), KEYcf_id
(cf_id
,link_id
), KEYlink_id
(link_id
), KEYvalue
(value
(8)) ) ENGINE=MyISAM AUTO_INCREMENT=20876 DEFAULT CHARSET=utf8 |
最佳答案
问题是您的第一个 SQL 查询没有任何 WHERE 条件,并且导致您正在处理的每个表都使用全局笛卡尔坐标。仅在第二个查询中应用 WHERE 子句。
就是说,您对 CF 表进行了左连接和右连接,但不能同时使用 cf=40 和 cf IS NULL,因此我简化为仅在 ID AND 40 上进行左连接...所以如果 CF 表中有一条记录,它只显示它的值为 40...任何其他值都将被忽略..
也就是说,您的查询可以简化为单个查询。我还更改为 JOIN 语法而不是 WHERE,这样您和其他人就可以看到与表的关系而不是猜测。
select
(all your fields)
from
j25_mt_cats as c
JOIN j25_mt_cl as cl
ON c.cat_id = cl.cat_id
JOIN j25_mt_links as l
ON cl.link_id = l.link_id
AND l.link_published = 1
AND l.link_approved = 1
JOIN j25_mt_images AS mi
ON l.link_id = mi.link_id
AND mi.ordering < 2
LEFT OUTER JOIN j25_mt_cfvalues AS cf
ON l.link_id = cf.link_id
AND cf.cf_id = 40
where
c.cat_published = 1
AND c.cat_approved = 1
ORDER BY
RAND() DESC;
为了帮助优化查询,您的
j25_mt_cats should have an index on (cat_published, cat_approved)
j25_mt_cl on (cat_id)
j25_mt_links on (link_id, link_published, link_approved)
j25_mt_images on (link_id, ordering)
j25_mt_cfvalues on (link_id, cf_id)
关于mysql - 优化 MySQL 中的多个 JOIN,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/19085570/