优化MySQL查询以避免扫描大量行

use*_*ksa 5 mysql query-optimization

我正在运行一个使用类似于下表的表的应用程序.有一个文章表,还有另一个标签表.我想通过文章ID获取最新的30篇文章作为特定的标签订单.例如"acer",下面的查询将完成这项工作,但它没有正确编制索引,因为如果有很多与特定标签相关的文章,它会扫描很多行.如何运行查询以获得相同的结果而不扫描大量的行?

EXPLAIN SELECT title
FROM tag, article
WHERE tag = 'acer'
AND tag.article_id = article.id
ORDER BY tag.article_id DESC 
LIMIT 0 , 30 
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产量

id  select_type     table   type    possible_keys   key     key_len     ref     rows    Extra
1   SIMPLE  tag     ref     tag     tag     92  const   220439  Using where; Using index
1   SIMPLE  article     eq_ref  PRIMARY     PRIMARY     4   testdb.tag.article_id   1 
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以下是表格和样本数据:

CREATE TABLE `article` (
  `id` int(11) NOT NULL auto_increment,
  `title` varchar(60) NOT NULL,
  `time_stamp` int(11) NOT NULL,
  PRIMARY KEY  (`id`)
) ENGINE=MyISAM  DEFAULT CHARSET=utf8 AUTO_INCREMENT=1000001 ;

-- 
-- Dumping data for table `article`
-- 

INSERT INTO `article` VALUES (1, 'Saudi Apple type D', 1313390211);
INSERT INTO `article` VALUES (2, 'Japan Apple type A', 1313420771);
INSERT INTO `article` VALUES (3, 'UAE Samsung type B', 1313423082);
INSERT INTO `article` VALUES (4, 'UAE Apple type H', 1313417337);
INSERT INTO `article` VALUES (5, 'Japan Samsung type D', 1313398875);
INSERT INTO `article` VALUES (6, 'UK Acer type B', 1313387888);
INSERT INTO `article` VALUES (7, 'Saudi Sony type D', 1313429416);
INSERT INTO `article` VALUES (8, 'UK Apple type B', 1313394549);
INSERT INTO `article` VALUES (9, 'Japan HP type A', 1313427730);
INSERT INTO `article` VALUES (10, 'Japan Acer type C', 1313400046);



CREATE TABLE `tag` (
  `tag` varchar(30) NOT NULL,
  `article_id` int(11) NOT NULL,
  UNIQUE KEY `tag` (`tag`,`article_id`)
) ENGINE=MyISAM DEFAULT CHARSET=utf8;

-- 
-- Dumping data for table `tag`
-- 


INSERT INTO `tag` VALUES ('Samsung', 1);
INSERT INTO `tag` VALUES ('Acer', 2);
INSERT INTO `tag` VALUES ('Sony', 3);
INSERT INTO `tag` VALUES ('Apple', 4);
INSERT INTO `tag` VALUES ('Acer', 5);
INSERT INTO `tag` VALUES ('HP', 6);
INSERT INTO `tag` VALUES ('Acer', 7);
INSERT INTO `tag` VALUES ('Sony', 7);
INSERT INTO `tag` VALUES ('Acer', 7);
INSERT INTO `tag` VALUES ('Samsung', 9);
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Qua*_*noi 1

是什么让您认为查询将检查大量行?

该查询将使用上的索引精确扫描30记录,将文章连接到 上的每条记录并停止。UNIQUEtag (tag, article_id)PRIMARY KEY

这正是你的计划所说的。

我刚刚做了这个测试脚本:

CREATE TABLE `article` (
  `id` int(11) NOT NULL auto_increment,
  `title` varchar(60) NOT NULL,
  `time_stamp` int(11) NOT NULL,
  PRIMARY KEY  (`id`)
) ENGINE=MyISAM  DEFAULT CHARSET=utf8 AUTO_INCREMENT=1000001 ;

CREATE TABLE `tag` (
  `tag` varchar(30) NOT NULL,
  `article_id` int(11) NOT NULL,
  UNIQUE KEY `tag` (`tag`,`article_id`)
) ENGINE=MyISAM DEFAULT CHARSET=utf8;

INSERT
INTO    article
SELECT  id, CONCAT('Article ', id), UNIX_TIMESTAMP('2011-08-17' - INTERVAL id SECOND)
FROM    t_source;

INSERT
INTO    tag
SELECT  CASE fld WHEN 1 THEN CONCAT('tag', (id - 1) div 10 + 1) ELSE tag END AS tag, id
FROM    (
        SELECT  tag,
                id,
                FIELD(tag, 'Other', 'Acer', 'Sony', 'HP', 'Dell') AS fld,
                RAND(20110817) AS rnd
        FROM    (
                SELECT  'Other' AS tag
                UNION ALL
                SELECT  'Acer' AS tag
                UNION ALL
                SELECT  'Sony' AS tag
                UNION ALL
                SELECT  'HP' AS tag
                UNION ALL
                SELECT  'Dell' AS tag
                ) t
        JOIN    t_source
        ) q
WHERE   POWER(3, -fld) > rnd;
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,其中t_source是一个包含记录的表1M,然后运行查询:

SELECT  *
FROM    tag t
JOIN    article a
ON      a.id = t.article_id
WHERE   t.tag = 'acer'
ORDER BY
        t.article_id DESC
LIMIT 30;
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这是即时的。