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当我在 mysql 中运行以下查询时，需要 78 秒才能显示记录。还有其他方法可以编写此查询。这是我的mysql查询->“

select distinct nuqta1.post_id from wp_postmeta as nuqta1 
inner join wp_postmeta as nuqta2 on (nuqta1.post_id = nuqta2.post_id) 
inner join wp_postmeta as nuqta4 on (nuqta1.post_id = nuqta4.post_id) 
inner join wp_postmeta as nuqta5 on (nuqta1.post_id = nuqta5.post_id) 
inner join wp_postmeta as nuqta6 on (nuqta1.post_id = nuqta6.post_id) 
inner join wp_postmeta as nuqta7 on (nuqta1.post_id = nuqta7.post_id) 
inner join wp_postmeta as nuqta8 on (nuqta1.post_id = nuqta8.post_id) 
inner join wp_postmeta as nuqta9 on (nuqta1.post_id = nuqta9.post_id) 
inner join wp_postmeta as nuqta10 on (nuqta1.post_id = nuqta10.post_id) 
inner join wp_postmeta as nuqta11 on (nuqta1.post_id = nuqta11.post_id) 
inner join wp_postmeta as nuqta12 on (nuqta1.post_id = nuqta12.post_id) 
where (nuqta2.meta_key = 'checkin' and nuqta2.meta_value LIKE '%10/31/2012%') 
and (nuqta4.meta_key = 'guests' and nuqta4.meta_value ='1') 
and (nuqta5.meta_key = 'roomtype' and nuqta5.meta_value LIKE '%Entire home/apt%') 
and (nuqta6.meta_key = 'price' and cast(nuqta6.meta_value as signed) BETWEEN '10' and '99999') 
and (nuqta7.meta_key = 'amenities' and nuqta7.meta_value LIKE '%Wireless Internet%') 
and (nuqta8.meta_key = 'amenities' and nuqta8.meta_value LIKE '%TV%') 
and (nuqta9.meta_key = 'amenities' and nuqta9.meta_value LIKE '%Kitchen%') 
and (nuqta10.meta_key = 'amenities' and nuqta10.meta_value LIKE '%Wireless Internet%') 
and (nuqta11.meta_key = 'amenities' and nuqta11.meta_value LIKE '%TV%') 
and (nuqta12.meta_key = 'amenities' and nuqta12.meta_value LIKE '%Kitchen%') 
and 1=1 order by nuqta1.post_id asc

“。而且我正在使用 wordpress 表 wp_postmeta 来运行这个查询

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2 回答 2

2

您在此查询中有很多LIKE '%whatever%'子句。这些子句中的每一个都必然导致对 wp_postmeta 进行全表扫描。你在不到十秒的时间内完成它们实际上非常好。

如果您对 meta_value 列的值有更多了解，那么您可以使用LIKE 'whatever%'（摆脱领先的%通配符术语），您将加快速度。

也不清楚为什么你有 nuqta10、nuqta11、nuqta12。那些似乎搜索与 7,8,9 相同的东西。考虑到搜索的成本，您可能会考虑消除这些。

于 2012-10-23T12:10:17.860 回答
0

尝试使用全文搜索

你会做的是类似

SELECT
    *
FROM
    tableName
WHERE
    MATCH ( columnName ) AGAINST ( 'Keyword1', 'Keyword2', 'Keyword3' )
于 2012-10-23T12:32:47.007 回答