【发布时间】:2015-07-26 04:50:03
【问题描述】:
我目前有一个大型查询(使用 PHP 和 MySQL),我不确定如何优化它以减少其 18-25 秒的大量负载。我查看了以前的答案,发现他们都编写了类似的大量代码,导致类似的脚本执行时间,所以我想看看是否有人会有任何替代想法而不是已经存在的想法提出:
TLDR;我需要为每个分析 ID 选择最大列,这会带来巨大的负载,因此我需要以某种方式减少它
$qry = "SELECT DISTINCT ip,country_code,country,
(SELECT MAX(region) FROM analytics RegOne WHERE bid='$id' AND RegOne.ip= IPOne.ip) AS region,
(SELECT MAX(city) FROM analytics CitOne WHERE bid='$id' AND CitOne.ip= IPOne.ip) AS city,
(SELECT MAX(os) FROM analytics OSOne WHERE bid='$id' AND OSOne.ip= IPOne.ip) AS os,
(SELECT MIN(browser) FROM analytics BroOne WHERE bid='$id' AND BroOne.ip= IPOne.ip) AS browser,
(SELECT MIN(resolution) FROM analytics ResOne WHERE bid='$id' AND ResOne.ip= IPOne.ip) AS resolution,
(SELECT MAX(timestamp) FROM analytics DateOne WHERE bid='$id' AND DateOne.ip= IPOne.ip) AS LatestDate
FROM analytics AS IPOne
WHERE bid='$id'
ORDER BY LatestDate DESC
LIMIT 15 OFFSET $offset";
这是从一个大表中获取数据,所以我不希望它花费 0 秒,但是任何时间减少都可以,而不是 ~21 秒。
【问题讨论】: