MySQL 在加入时慢.有什么办法可以加速 [英] MySQL Slow on join. Any way to speed up

问题描述

我有两张桌子.1 是音乐，2 是 listenTrack.listenTrack 跟踪每首歌曲的独特播放.我正在尝试获得本月流行歌曲的结果.我正在得到我的结果，但他们只是花了太长时间.下面是我的表和查询

I have 2 tables. 1 is music and 2 is listenTrack. listenTrack tracks the unique plays of each song. I am trying to get results for popular songs of the month. I'm getting my results but they are just taking too long. Below is my tables and query

430,000 行

CREATE TABLE `listentrack` (
    `id` int(11) NOT NULL AUTO_INCREMENT,
    `sessionId` varchar(50) NOT NULL,
    `url` varchar(50) NOT NULL,
    `date_created` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
    `ip` varchar(150) NOT NULL,
    `user_id` int(11) DEFAULT NULL,
     PRIMARY KEY (`id`)
) ENGINE=MyISAM AUTO_INCREMENT=731306 DEFAULT CHARSET=utf8

12500 行

CREATE TABLE `music` (
   `music_id` int(11) NOT NULL AUTO_INCREMENT,
   `user_id` int(11) NOT NULL,
   `title` varchar(50) DEFAULT NULL,
   `artist` varchar(50) DEFAULT NULL,
   `description` varchar(255) DEFAULT NULL,
   `genre` int(4) DEFAULT NULL,
   `file` varchar(255) NOT NULL,
   `url` varchar(50) NOT NULL,
   `allow_download` int(2) NOT NULL DEFAULT '1',
   `plays` bigint(20) NOT NULL,
   `downloads` bigint(20) NOT NULL,
   `faved` bigint(20) NOT NULL,
   `dateadded` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP,
   PRIMARY KEY (`music_id`)
) ENGINE=MyISAM AUTO_INCREMENT=15146 DEFAULT CHARSET=utf8


SELECT COUNT(listenTrack.url) AS total, listenTrack.url 
FROM listenTrack
LEFT JOIN music ON music.url = listenTrack.url
WHERE DATEDIFF(DATE(date_created),'2009-08-15') = 0
GROUP BY listenTrack.url
ORDER BY total DESC
LIMIT 0,10

这个查询不是很复杂，行也不是太大，我不认为.

this query isn't very complex and the rows aren't too large, i don't think.

有什么办法可以加快速度吗?或者你能提出更好的解决方案吗?这将是每个月开始时的一项 cron 工作，但我也希望按天完成结果.

Is there any way to speed this up? Or can you suggest a better solution? This is going to be a cron job at the beggining of every month but I would also like to do by the day results as well.

哦顺便说一句，我在本地运行这个，运行时间超过 4 分钟，但在 prod 上大约需要 45 秒

Oh btw i am running this locally, over 4 min to run, but on prod it takes about 45 secs

推荐答案

我更喜欢 SQL Server，但这些概念应该适用.

I'm more of a SQL Server guy but these concepts should apply.

我会添加索引:

1. 在 ListenTrack 上，添加一个带有 url 和 date_created 的索引
2. 在音乐上，添加带有 url 的索引

这些索引应该会极大地加快查询速度(我最初混淆了表名 - 在最新的编辑中修复了).

These indexes should speed the query up tremendously (I originally had the table names mixed up - fixed in the latest edit).

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