Question

我有一个大查询来统计同一数据表中的3个不同的东西：

SELECT leagues.feed_league_id AS mleague, 
       leagues.league_id AS mleague_id, 
       leagues.league_name, countries.feed_name, 
       (SELECT COUNT(DISTINCT m2.match_id) 
        FROM `matches` AS m2 
        LEFT JOIN stats ON stats.match_id=m2.match_id 
        LEFT JOIN leagues AS l1 ON m2.feed_league_id=l1.feed_league_id 
        WHERE stats.tipo='Golos1ª2ª' AND 
              m2.status='FT' AND 
              (m2.home_ht_score*1+ m2.away_ht_score*1) >1 AND 
              m2.home_ht_score REGEXP '[0-9]+' AND 
              m2.away_ht_score REGEXP '[0-9]+' AND 
              m2.feed_league_id=mleague
       ) AS Total, 
       (SELECT COUNT(DISTINCT m3.match_id) 
        FROM `matches` AS m3 
        LEFT JOIN stats ON stats.match_id=m3.match_id 
        LEFT JOIN leagues AS l1 ON m3.feed_league_id=l1.feed_league_id 
        WHERE stats.tipo='Golos1ª2ª' AND 
              m3.status='FT' AND 
              (m3.home_ht_score*1+ m3.away_ht_score*1) >1 AND 
              (m3.home_ft_score*1+m3.away_ft_score*1)-(m3.home_ht_score*1+ m3.away_ht_score*1)>0 AND 
              m3.home_ht_score REGEXP '[0-9]+' AND 
              m3.away_ht_score REGEXP '[0-9]+' AND 
              m3.feed_league_id=mleague 
       ) AS Golos, 
       (SELECT COUNT(DISTINCT m2.match_id) 
        FROM `matches` AS m2 
        LEFT JOIN stats ON stats.match_id=m2.match_id 
        LEFT JOIN leagues AS l1 ON m2.feed_league_id=l1.feed_league_id 
        WHERE DATEDIFF(DATE(NOW()), date)<=4 AND 
              stats.tipo='Golos1ª2ª' AND 
              m2.status='FT' AND 
              (m2.home_ht_score*1+ m2.away_ht_score*1) >1 AND 
              m2.home_ht_score REGEXP '[0-9]+' AND 
              m2.away_ht_score REGEXP '[0-9]+' AND 
              m2.feed_league_id=mleague 
       ) AS LastDays 
FROM leagues 
LEFT JOIN countries ON countries.country_id=leagues.country_id 
GROUP BY leagues.feed_league_id HAVING Total>20 
ORDER BY Golos/Total DESC`

表“联赛” - 828条记录

CREATE TABLE IF NOT EXISTS `leagues` (
  `league_id` int(11) NOT NULL AUTO_INCREMENT,
  `league_name` varchar(255) NOT NULL,
  `alt_league_name` varchar(255) NOT NULL,
  `league_season` varchar(255) NOT NULL,
  `feed_league_id` varchar(8) NOT NULL,
  `feed_sub_id` varchar(10) NOT NULL,
  `country_id` int(11) NOT NULL,
  PRIMARY KEY (`league_id`),
  KEY `league_name` (`league_name`),
  KEY `league_season` (`league_season`),
  KEY `feed_league_id` (`feed_league_id`),
  KEY `country_id` (`country_id`),
  KEY `feed_sub_id` (`feed_sub_id`),
  KEY `alt_league_name` (`alt_league_name`)
) ENGINE=InnoDB  DEFAULT CHARSET=utf8 AUTO_INCREMENT=837

表“匹配” - 125K记录

CREATE TABLE IF NOT EXISTS `matches` (
  `match_id` int(11) NOT NULL AUTO_INCREMENT,
  `date` date NOT NULL,
  `feed_match_id` varchar(255) NOT NULL,
  `status` varchar(10) NOT NULL,
  `time` varchar(10) NOT NULL,
  `updated` datetime NOT NULL,
  `home_team_id` int(11) NOT NULL,
  `away_team_id` int(11) NOT NULL,
  `home_ft_score` varchar(11) NOT NULL,
  `away_ft_score` varchar(11) NOT NULL,
  `home_ht_score` varchar(11) NOT NULL,
  `away_ht_score` varchar(11) NOT NULL,
  `country_id` int(11) NOT NULL,
  `league_id` int(11) NOT NULL,
  `feed_league_id` varchar(8) NOT NULL,
  `feed_sub_id` varchar(10) NOT NULL,
  `stage_id` int(11) NOT NULL,
  `week_number` int(11) NOT NULL,
  `n_updates` int(11) NOT NULL,
  PRIMARY KEY (`match_id`),
  KEY `date` (`date`),
  KEY `feed_match_id` (`feed_match_id`),
  KEY `status` (`status`),
  KEY `time` (`time`),
  KEY `updated` (`updated`),
  KEY `home_ft_score` (`home_ft_score`),
  KEY `away_ft_score` (`away_ft_score`),
  KEY `home_ht_score` (`home_ht_score`),
  KEY `away_ht_score` (`away_ht_score`),
  KEY `country_id` (`country_id`),
  KEY `league_id` (`league_id`),
  KEY `stage_id` (`stage_id`),
  KEY `week_number` (`week_number`),
  KEY `home_team_id` (`home_team_id`),
  KEY `away_team_id` (`away_team_id`),
  KEY `feed_league_id` (`feed_league_id`),
  KEY `feed_sub_id` (`feed_sub_id`)
) ENGINE=InnoDB  DEFAULT CHARSET=utf8 AUTO_INCREMENT=125231 ;

表“统计信息” - 250K记录

CREATE TABLE IF NOT EXISTS `stats` (
  `id` int(11) NOT NULL AUTO_INCREMENT,
  `match_id` int(11) NOT NULL,
  `stat` varchar(255) NOT NULL,
  `equipa` varchar(255) NOT NULL,
  `tipo_id` smallint(6) NOT NULL,
  PRIMARY KEY (`id`),
  KEY `match_id` (`match_id`),
  KEY `stat` (`stat`),
  KEY `equipa` (`equipa`),
  KEY `tipo_id` (`tipo_id`)
) ENGINE=InnoDB  DEFAULT CHARSET=utf8 AUTO_INCREMENT=246459 ;

有人可以帮我简化此查询。执行需要很长时间。如果您需要更多信息，请询问。

感谢。

Answer 1

我甚至不知道从哪里开始。基本问题是你在SELECT子句中计算。这意味着对于联盟中的每个记录（主查询），您正在执行其他3个大查询（更不用说所有正则表达式）。您没有给您的服务器机会。将计数从SELECT移到FROM（使它们连接表）。

更新：这就是我的意思：

SELECT leagues.feed_league_id, Total.cnt
FROM leagues 
  JOIN countries ON countries.country_id=leagues.country_id 
  JOIN (SELECT l1.feed_league_id, COUNT(DISTINCT m2.match_id) as cnt
         FROM `matches` AS m2
          LEFT JOIN stats ON stats.match_id=m2.match_id
          LEFT JOIN leagues AS l1 ON m2.feed_league_id=l1.feed_league_id
         WHERE stats.tipo='Golos1ª2ª' AND m2.status='FT' AND (m2.home_ht_score*1+ m2.away_ht_score*1) >1 AND m2.home_ht_score REGEXP '[0-9]+' AND m2.away_ht_score REGEXP '[0-9]+'
         GROUP BY l1.feed_league_id
        ) AS Total on Total.feed_league_id = leagues.feed_league_id
GROUP BY leagues.feed_league_id

正如您所看到的，这只适用于Total，但其他两个大查询的内容相同。

对大型mysql数据库的大查询

1 个答案: