是的,您可以使用 Apache Lucene 和 Solr 等搜索引擎很好地统一它们。
http://lucene.apache.org/solr/
如果您只需要在 MySQL 中执行此操作,则可以使用 UNION 执行此操作。您可能希望抑制任何与零相关的结果。
您需要根据匹配的表来决定如何影响相关性。
例如,假设您希望文章最重要,事件中等重要,页面最不重要。您可以像这样使用乘数:
set @articles_multiplier=3;
set @events_multiplier=2;
set @pages_multiplier=1;
这是一个您可以尝试的工作示例,它演示了其中一些技术:
创建样本数据:
create database d;
use d;
create table articles (id int primary key, content text) ENGINE = MYISAM;
create table events (id int primary key, content text) ENGINE = MYISAM;
create table pages (id int primary key, content text) ENGINE = MYISAM;
insert into articles values
(1, "Lorem ipsum dolor sit amet"),
(2, "consectetur adipisicing elit"),
(3, "sed do eiusmod tempor incididunt");
insert into events values
(1, "Ut enim ad minim veniam"),
(2, "quis nostrud exercitation ullamco"),
(3, "laboris nisi ut aliquip");
insert into pages values
(1, "Duis aute irure dolor in reprehenderit"),
(2, "in voluptate velit esse cillum"),
(3, "dolore eu fugiat nulla pariatur.");
使其可搜索:
ALTER TABLE articles ADD FULLTEXT(content);
ALTER TABLE events ADD FULLTEXT(content);
ALTER TABLE pages ADD FULLTEXT(content);
使用 UNION 搜索所有这些表:
set @target='dolor';
SELECT * from (
SELECT
'articles' as 'table_name', id,
@articles_multiplier * (MATCH(content) AGAINST (@target)) as relevance
from articles
UNION
SELECT
'events' as 'table_name',
id,
@events_multiplier * (MATCH(content) AGAINST (@target)) as relevance
from events
UNION
SELECT
'pages' as 'table_name',
id,
@pages_multiplier * (MATCH(content) AGAINST (@target)) as relevance
from pages
)
as sitewide WHERE relevance > 0;
结果:
+------------+----+------------------+
| table_name | id | relevance |
+------------+----+------------------+
| articles | 1 | 1.98799377679825 |
| pages | 3 | 0.65545331108093 |
+------------+----+------------------+