【发布时间】:2015-11-19 07:03:15
【问题描述】:
这个查询运行得非常快:
select mainsearch.product,
(select count(id) from search_log
where search_log.hits > 0
and search_log.`time` between '2015-09-01 00:00:00' and '2015-09-01 23:59:59'
and mainsearch.product = search_log.product
) as success
from search_log as mainsearch
group by mainsearch.product;
这个查询需要很长时间:
select mainsearch.product,
(select count(id) from search_log
where search_log.hits > 0
and search_log.`time` between '2015-09-01 00:00:00' and '2015-09-01 23:59:59'
and mainsearch.product = search_log.product
) as success
from search_log as mainsearch
where mainsearch.`time` between '2015-09-01 00:00:00' and '2015-09-01 23:59:59'
group by mainsearch.product;
这是表格规格:
CREATE TABLE `search_log` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`query` text NOT NULL,
`hits` mediumint(9) NOT NULL DEFAULT '0',
`time` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
`product` varchar(16) DEFAULT NULL,
PRIMARY KEY (`id`),
KEY `time_index` (`time`),
KEY `searchlog_product` (`product`)
);
我对优化以及子选择背后的理论略知一二——但不知道为什么会产生如此大的影响,也不知道如何解决。
【问题讨论】:
标签: mysql sql sqlite correlated-subquery