我有一个我在Wordpress网站上构建的搜索功能,用于搜索名称和地点,如下所示:
#name search
select user_id from wp_usermeta where meta_key='first_name'
AND meta_value LIKE 'term'
AND user_id in (SELECT post_author FROM wp_posts WHERE post_type='attachment'
AND length(post_content) > 0
AND length(post_title) > 0
AND post_author in (SELECT post_author FROM wp_posts WHERE post_type='article'))
UNION
#locality search
select user_id from wp_usermeta where meta_key in ('zip', 'city', 'state', 'country')
AND user_id in (select user_id from wp_usermeta where meta_key = 'user_type'and meta_value = 'user')
AND (meta_value LIKE 'term')
AND user_id in (SELECT post_author FROM wp_posts WHERE post_type='attachment'
AND length(post_content) > 0
AND length(post_title) > 0
AND post_author in (SELECT post_author FROM wp_posts WHERE post_type='article'))
group by user_id
这需要大约3秒钟才能运行。我试图看看是否有更快的方式来编写此查询。我有innoDB和索引,但有很多记录。这是我查询的最快版本,但3秒仍然很慢。有什么想法吗?
EDIT(SQL解释结果,倒数第二个值是行数):
' 1',' PRIMARY',' wp_usermeta',' ref',' meta_key,FH_DanB_1', ' FH_DanB_1',' 768',' const',' 98252','使用where'
' 2','依赖子信息' wp_posts',' index_subquery',' type_status_date,post_author' ,' post_author',' 8',' func',' 1','使用where'
' 3','依赖子信息' wp_posts',' index_subquery',' type_status_date,post_author' ,' post_author',' 8',' func',' 1','使用where'
' 4',' UNION',' wp_usermeta',' index',' meta_key,FH_DanB_1', ' user_id',' 8',NULL,' 510714','使用where'
' 6','相关提示',' wp_posts',' index_subquery',' type_status_date,post_author' ,' post_author',' 8',' func',' 1','使用where'
' 7','依赖子信息' wp_posts',' index_subquery',' type_status_date,post_author' ,' post_author',' 8',' func',' 1','使用where'
' 5','相关提示',' wp_usermeta',' ref',' user_id,meta_key,FH_DanB_1&# 39;,' FH_DanB_1',' 776',' const,func',' 1','使用where'
wp_usermeta有超过500k行,但我想我应该将列meta_value编入索引?
不确定我是否可以在语法上更快地进行查询。
这里使用的两个表是wp_posts(post_author,post_date,post_date_gmt,post_content,post_title,post_excerpt,post_status,comment_status,ping_status,post_password,post_name,to_ping,pinged,post_modified,post_modified_gmt,post_content_filtered,post_parent,guid,menu_order,post_type, post_mime_type,comment_count,up,down,popular,robotsmeta,meta_robots)和wp_usermeta(meta_id,user_id,meta_key,meta_value)。 wp_posts.post_author值与wp_usermeta.user_id相同。 Wp_posts有超过100K行,wp_usermeta超过500k。
答案 0 :(得分:0)
我无法测试您的查询,但我会这样做:
meta_value LIKE 'term'
替换为meta_value='term'
GROUP BY
因为联合查询(没有union all
子句)已经删除了重复项如果我没有犯错,这应该是结果查询:
select wp_usermeta.user_id
from
wp_usermeta inner join wp_posts wp1
on wp_usermeta.user_id=wp1.post_author and wp1.post_type='attachment'
inner join wp_posts wp2
on wp_usermeta.user_id=wp2.post_author and post_type='article'
where
wp_usermeta.meta_key='first_name'
AND wp_usermeta.meta_value='term'
AND length(wp_usermeta.post_content) > 0
AND length(wp_usermeta.post_title) > 0
UNION
select wp_um1.user_id
from
wp_usermeta wp_um1 inner join wp_usermeta wp_um2
on wp_um1.user_id=wp_um2.user_id and wp_um2.meta_key = 'user_type'
and wp_um2.meta_value = 'user'
inner join wp_posts wp1
on wp_usermeta.user_id=wp1.post_author and wp1.post_type='attachment'
inner join wp_posts wp2
on wp_usermeta.user_id=wp2.post_author and post_type='article'
where
wp_um1.meta_key in ('zip', 'city', 'state', 'country')
AND (wp_um1.meta_value = 'term')
AND length(wp_um1.post_content) > 0
AND length(wp_um1.post_title) > 0
编辑:我想尝试的最后一个想法就是这个。你可以替换这部分:
inner join wp_posts wp1
on wp_usermeta.user_id=wp1.post_author and wp1.post_type='attachment'
inner join wp_posts wp2
on wp_usermeta.user_id=wp2.post_author and post_type='article'
这个:
inner join (select post_author
from wp_posts
where post_type in ('attachment','article')
group by post_author
having count(*)>1) wp on wp_usermeta.user_id = wp.post_author
取决于您的数据结构如何,它可以使查询更快,但也更慢......