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mySQL MATCH 跨多个表

转载 作者:IT王子 更新时间:2023-10-29 00:30:47 27 4
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我有一组要搜索的 4 个表。每个都有一个全文索引。查询可以利用每个索引吗?

CREATE TABLE `categories` (
`id` int(5) unsigned NOT NULL auto_increment,
`display_order` int(5) unsigned default NULL,
`name` varchar(64) default NULL,
`last_modified` timestamp NOT NULL default CURRENT_TIMESTAMP on update CURRENT_TIMESTAMP,
PRIMARY KEY (`id`),
UNIQUE KEY `order` (`display_order`),
FULLTEXT KEY `full_name` (`name`)
) ENGINE=MyISAM AUTO_INCREMENT=6 DEFAULT CHARSET=latin1;

CREATE TABLE `host_types` (
`id` int(5) unsigned NOT NULL auto_increment,
`category_id` int(5) unsigned default NULL,
`display_order` int(5) unsigned default NULL,
`name` varchar(64) default NULL,
`last_modified` timestamp NOT NULL default CURRENT_TIMESTAMP on update CURRENT_TIMESTAMP,
PRIMARY KEY (`id`),
UNIQUE KEY `order` (`category_id`,`display_order`),
FULLTEXT KEY `full_name` (`name`)
) ENGINE=MyISAM AUTO_INCREMENT=13 DEFAULT CHARSET=latin1;


CREATE TABLE `hosts` (
`id` int(5) unsigned NOT NULL auto_increment,
`host_id` int(5) unsigned default NULL,
`display_order` int(5) unsigned default NULL,
`name` varchar(64) default NULL,
`last_modified` timestamp NOT NULL default CURRENT_TIMESTAMP on update CURRENT_TIMESTAMP,
PRIMARY KEY (`id`),
UNIQUE KEY `order` (`host_id`,`display_order`),
FULLTEXT KEY `full_name` (`name`)
) ENGINE=MyISAM AUTO_INCREMENT=4 DEFAULT CHARSET=latin1;


CREATE TABLE `products` (
`id` int(11) unsigned NOT NULL auto_increment,
`host_id` int(5) unsigned default NULL,
`display_order` int(5) unsigned default NULL,
`uid` varchar(10) default NULL,
`name` varchar(128) default NULL,
`keywords` text,
`description` text,
`price` decimal(10,2) default NULL,
`quantity` int(11) unsigned default NULL,
`last_modified` timestamp NOT NULL default CURRENT_TIMESTAMP on update CURRENT_TIMESTAMP,
PRIMARY KEY (`id`),
FULLTEXT KEY `full_name` (`name`,`keywords`,`description`,`uid`)
) ENGINE=MyISAM AUTO_INCREMENT=14 DEFAULT CHARSET=latin1;

这是我的查询;

SELECT categories.name AS category, 
categories.id AS category_id,
host_types.name AS host_type,
host_types.id AS host_type_id,
hosts.name AS host,
hosts.id AS host_id,
products.name as name,
products.id AS product_id,
products.keywords as keywords,
products.description AS description,
products.quantity AS quantity,
products.price AS price,
products.uid as catalogue,
MATCH(categories.name, host_types.name, hosts.name, products.name,
products.keywords, products.description, products.uid)
AGAINST('search term') as score
FROM products
LEFT JOIN hosts ON products.host_id = hosts.id
LEFT JOIN host_types ON hosts.host_id = host_types.id
LEFT JOIN categories ON host_types.category_id = categories.id
WHERE MATCH(categories.name, host_types.name, hosts.name, products.name,
products.keywords, products.description, products.uid)
AGAINST('search term')
ORDER BY score DESC;
  • 类别名称 == 全文 - 1
  • host_types.name == FULLTEXT - 2
  • hosts.name == FULLTEXT - 3
  • products.name, products.keywords, products.description, products.uid == FULLTEXT - 4

这是我的 SQL 结构,我使用了上面的查询。

SELECT 
categories.name AS category,
categories.id AS category_id,
host_types.name AS host_type,
host_types.id AS host_type_id,
hosts.name AS host,
hosts.id AS host_id,
products.name as name,
products.id AS product_id,
products.keywords as keywords,
products.description AS description,
products.quantity AS quantity,
products.price AS price,
products.uid as catalgue
MATCH(categories.name) AGAINST('search term') as cscore,
MATCH(host_types.name) AGAINST('search term') as htscore,
MATCH(hosts.name) AGAINST('search term') as hscore,
MATCH(products.name, products.keywords, products.description, products.uid)
AGAINST('search term') as score
FROM products
LEFT JOIN hosts ON products.host_id = hosts.id
LEFT JOIN host_types ON hosts.host_id = host_types.id
LEFT JOIN categories ON host_types.category_id = categories.id
WHERE
MATCH(categories.name) AGAINST('search term') OR
MATCH(host_types.name) AGAINST('search term') OR
MATCH(hosts.name) AGAINST('search term') OR
MATCH(products.name, products.keywords, products.description, products.uid)
AGAINST('search term')
ORDER BY score DESC



CREATE TABLE `categories` (
`id` int(5) unsigned NOT NULL auto_increment,
`display_order` int(5) unsigned default NULL,
`name` varchar(64) default NULL,
`last_modified` timestamp NOT NULL default CURRENT_TIMESTAMP on update CURRENT_TIMESTAMP,
PRIMARY KEY (`id`),
UNIQUE KEY `order` (`display_order`),
FULLTEXT KEY `full_name` (`name`)
) ENGINE=MyISAM AUTO_INCREMENT=6 DEFAULT CHARSET=latin1;

CREATE TABLE `host_types` (
`id` int(5) unsigned NOT NULL auto_increment,
`category_id` int(5) unsigned default NULL,
`display_order` int(5) unsigned default NULL,
`name` varchar(64) default NULL,
`last_modified` timestamp NOT NULL default CURRENT_TIMESTAMP on update CURRENT_TIMESTAMP,
PRIMARY KEY (`id`),
UNIQUE KEY `order` (`category_id`,`display_order`),
FULLTEXT KEY `full_name` (`name`)
) ENGINE=MyISAM AUTO_INCREMENT=13 DEFAULT CHARSET=latin1;


CREATE TABLE `hosts` (
`id` int(5) unsigned NOT NULL auto_increment,
`host_id` int(5) unsigned default NULL,
`display_order` int(5) unsigned default NULL,
`name` varchar(64) default NULL,
`last_modified` timestamp NOT NULL default CURRENT_TIMESTAMP on update CURRENT_TIMESTAMP,
PRIMARY KEY (`id`),
UNIQUE KEY `order` (`host_id`,`display_order`),
FULLTEXT KEY `full_name` (`name`)
) ENGINE=MyISAM AUTO_INCREMENT=4 DEFAULT CHARSET=latin1;


CREATE TABLE `products` (
`id` int(11) unsigned NOT NULL auto_increment,
`host_id` int(5) unsigned default NULL,
`display_order` int(5) unsigned default NULL,
`uid` varchar(10) default NULL,
`name` varchar(128) default NULL,
`keywords` text,
`description` text,
`price` decimal(10,2) default NULL,
`quantity` int(11) unsigned default NULL,
`last_modified` timestamp NOT NULL default CURRENT_TIMESTAMP on update CURRENT_TIMESTAMP,
PRIMARY KEY (`id`),
FULLTEXT KEY `full_name` (`name`,`keywords`,`description`,`uid`)
) ENGINE=MyISAM AUTO_INCREMENT=14 DEFAULT CHARSET=latin1;

最佳答案

  • 您不能在 MySQL 的多个表中定义全文索引(或任何类型的索引)。每个索引定义只引用一个表。给定全文索引中的所有列必须来自同一个表。

  • 作为 MATCH() 函数的参数命名的列必须是单个全文索引的一部分。您不能使用对 MATCH() 的单个调用来搜索属于数据库中所有全文索引的所有列。

  • 全文索引仅索引使用 CHARVARCHARTEXT 数据类型定义的列。

  • 您可以在每个表中定义全文索引。

例子:

CREATE TABLE categories (
id SERIAL PRIMARY KEY,
name VARCHAR(100),
FULLTEXT INDEX ftcat (name)
);

CREATE TABLE host_types (
id SERIAL PRIMARY KEY,
category_id BIGINT UNSIGNED,
name VARCHAR(100),
FULLTEXT INDEX ftht (name)
);

CREATE TABLE hosts (
id SERIAL PRIMARY KEY,
host_id BIGINT UNSIGNED,
category_id BIGINT UNSIGNED,
name VARCHAR(100),
FULLTEXT INDEX fthost (name)
);

CREATE TABLE products (
id SERIAL PRIMARY KEY,
name VARCHAR(100),
keywords VARCHAR(100),
uid VARCHAR(100),
description VARCHAR(100),
quantity INTEGER,
price NUMERIC(9,2),
host_id BIGINT UNSIGNED,
FULLTEXT INDEX ftprod (name, keywords, description, uid)
);

然后您可以编写一个使用每个相应全文索引的查询:

SELECT ...
MATCH(categories.name) AGAINST('search term') as cscore,
MATCH(host_types.name) AGAINST('search term') as htscore,
MATCH(hosts.name) AGAINST('search term') as hscore,
MATCH(products.name, products.keywords, products.description, products.uid)
AGAINST('search term') as score
FROM products
LEFT JOIN hosts ON products.host_id = hosts.id
LEFT JOIN host_types ON hosts.host_id = host_types.id
LEFT JOIN categories ON host_types.category_id = categories.id
WHERE
MATCH(categories.name) AGAINST('search term') OR
MATCH(host_types.name) AGAINST('search term') OR
MATCH(hosts.name) AGAINST('search term') OR
MATCH(products.name, products.keywords, products.description, products.uid)
AGAINST('search term')
ORDER BY score DESC;

关于mySQL MATCH 跨多个表,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/1241602/

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