【转】MYSQL入门学习之三：全文本搜索
时间：2014-05-08 23:59:06
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转载地址：http://www.2cto.com/database/201212/173873.html
一、理解全文本搜索
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1、MyISAM支持全文本搜索，而InnoDB不支持。
2、在使用全文本搜索时，MySQL不需要分别查看每个行，不需要分别分析和处理每个词。MySQL创建指定列中各词的一个索引，搜索可以针对这些词进行。这样MySQL可以快速有效地决定哪些词匹配，哪些词不匹配，它们匹配的频率，等等。
二、使用全文本搜索
1、为了进行全文本搜索，必须索引被搜索的列，而且要随着数据的改变不断地重新索引。在对表列进行适当设计后，MySQL会自动进行所有的索引和重新索引。
在索引之后，SELECT可与Match()和Against()一起使用以实际执行搜索。
2、一般在创建表时启用全文本搜索。
[sql]
create table productnotes
(
note_id int not nullauto_increment,
note_text text null,
primary key(note_id),
fulltext(note_text)
)engine=MyISAM;
在定义之后，MySQL自动维护该索引。在增加、更新或删除行时，索引随之自动更新。
3、不要在导入数据时使用FULLTEXT。
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4、进行全文本搜索
Match()指定被搜索的列，Against()指定要使用的搜索表达式。
[sql]
mysql>
select * from productnotes
-> whereMatch(note_text) Against(‘designed‘);
+---------+---------------------------------------------------------------------
------------------------------------------------------+
| note_id | note_text
|
+---------+---------------------------------------------------------------------
------------------------------------------------------+
| 6 | LimsLink isdesigned to interface output from
chromatography data sy
stems (CDSs) to LIMS.
|
| 5 | This line ofproprietary reagents, containers,
and automation tools
is designed for genomics and drug discovery research. |
+---------+---------------------------------------------------------------------
------------------------------------------------------+
2 rows in set (0.03 sec)
5、传递给Match()的值必须与FULLTEXT()定义中的相同。如果指定多个列，则必须列出它们（而且次序正确）。
6、除非使用BINARY方式，否则全文本搜索不区分大小写。
[sql]
mysql> select * from productnotes
-> where BINARYMatch(note_text) Against(‘line‘);
+---------+---------------------------------------------------------------------
------------------------------------------------------+
| note_id | note_text
|
+---------+---------------------------------------------------------------------
------------------------------------------------------+
| 5 | This line ofproprietary reagents, containers,
and automation tools
is designed for genomics and drug discovery research. |
+---------+---------------------------------------------------------------------
------------------------------------------------------+
1 row in set (0.05 sec)
7、全文本搜索的一个重要部分就是对结果排序。具有较高等级的行先返回。
等级由MySQL根据行中词的数目、唯一词的数目、整个索引中词的总数以及包含该词的行的数目计算出来。文本中词先前的行的等级值比词靠后的行的等级值高。
[sql]
mysql> select note_id, Match(note_text) Against(‘This line‘)as
rank,note_text
-> fromproductnotes
-> whereMatch(note_text) Against(‘This line‘);
+---------+------------------+--------------------------------------------------
----------------------------------------------------------------------------+
| note_id | rank | note_text
|
+---------+------------------+--------------------------------------------------
----------------------------------------------------------------------------+
| 5 |0.81339610830754 | This line of proprietary
reagents,. containers, a
nd automation tools is designed. for genomics and drugdiscovery .research.
|
| 7 |0.76517958501676 | specificities include both
alpha–beta and beta–
beta. This line from chromatography .data systems (CDSs) and toLIMS.
|
+---------+------------------+--------------------------------------------------
----------------------------------------------------------------------------+
2 rows in set (0.00 sec)
8、查询扩展 www.2cto.com
在使用查询扩展时，MySQL对数据和索引进行两遍扫描来完成搜索。
首先，进行一个基本的全文本搜索，找出与搜索条件匹配的所有行；
其次，MySQL检查这些匹配行并选择所有有用的词；
再次，MySQL再次进行全文本搜索，这次不仅使用原来的条件，而且还使用所有有用的词。
利用查询扩展，能找出可能相关的结果，即使它们并不精确包含所查找的词。
表中的行越多，使用查询扩展返回的结果越好。
查询扩展功能在MySQL4.1.1中引入。
[sql]
mysql> select note_id, Match(note_text) Against(‘This line‘)as
rank,note_text
-> fromproductnotes
-> where Match(note_text)Against(‘This line‘ with query
expansion);
+---------+------------------+--------------------------------------------------
----------------------------------------------------------------------------+
| note_id | rank | note_text
|
+---------+------------------+--------------------------------------------------
----------------------------------------------------------------------------+
| 5 | 0.81339610830754| This line of proprietary
reagents,. containers, a
nd automation tools is designed. for genomics and drugdiscovery .research.
|
| 7 |0.76517958501676 | specificities include both
alpha–beta and beta–
beta. This line from chromatography .data systems (CDSs) and toLIMS.
|
| 3 |
0 | Human S-100. monoclonal.and polyclonal specifici
ties include both alpha–beta and beta–beta isoforms.
|
| 6 |
0 | LimsLink is .designed to interfaceoutput. from c
hromatography .data systems (CDSs) and to LIMS.
|
| 1 |
0 | PepTool allows users tostore, manage. analyze, a
nd visualize protein data.
|
+---------+------------------+--------------------------------------------------
----------------------------------------------------------------------------+
5 rows in set (0.00 sec)
9、布尔文本搜索（boolean mode）
以布尔方式，可以提供关于如下内容的细节：
要匹配的词； www.2cto.com
要排斥的词；
排列提示；（指定某些词比其他词更重要）
表达式分组；
另外一些内容。
[sql]
mysql> select note_id,note_text
-> fromproductnotes
-> whereMatch(note_text) Against(‘line‘ in boolean mode);
+---------+---------------------------------------------------------------------
---------------------------------------------------------+
| note_id | note_text
|
+---------+---------------------------------------------------------------------
---------------------------------------------------------+
| 5 | This line ofproprietary reagents,. containers,
and automation tools
is designed. for genomicsand drug discovery .research. |
| 7 | specificitiesinclude both alpha–beta and
beta–beta. This line fro
m chromatography .data systems (CDSs) and to LIMS. |
+---------+---------------------------------------------------------------------
---------------------------------------------------------+
2 rows in set (0.00 sec)
即使没有FULLTEXT索引也可以使用布尔文本搜索。但是非常缓慢。
mysql> select note_id,note_text/*匹配line且不包含systems*/
-> fromproductnotes
-> whereMatch(note_text) Against(‘line -systems*‘ in
boolean mode);
+---------+---------------------------------------------------------------------
---------------------------------------------------------+
| note_id | note_text
|
+---------+---------------------------------------------------------------------
---------------------------------------------------------+
| 5 | This line ofproprietary reagents,. containers,
and automation tools
is designed. forgenomics and drug discovery .research. |
+---------+---------------------------------------------------------------------
---------------------------------------------------------+
1 row in set (0.00 sec)
mysql> select note_id,note_text/*匹配line且匹配systems*/
-> fromproductnotes
-> whereMatch(note_text) Against(‘+line +systems‘ in
boolean mode);
+---------+---------------------------------------------------------------------
---------------------------------------------------+
| note_id | note_text
|
+---------+---------------------------------------------------------------------
---------------------------------------------------+
| 7 | specificitiesinclude both alpha–beta and
beta–beta. This line fro
m chromatography .data systems (CDSs) and to LIMS. |
+---------+---------------------------------------------------------------------
---------------------------------------------------+
1 row in set (0.00 sec)
mysql> select note_id,note_text/*匹配line或匹配systems*/
-> fromproductnotes
-> whereMatch(note_text) Against(‘line systems‘ in boolean
mode);
+---------+---------------------------------------------------------------------
---------------------------------------------------------+
| note_id | note_text
|
+---------+---------------------------------------------------------------------
---------------------------------------------------------+
| 5 | This line ofproprietary reagents,. containers,
and automation tools
is designed. forgenomics and drug discovery .research. |
| 6 | LimsLink is.designed to interface output. from
chromatography .data
systems (CDSs) and toLIMS.
|
| 7 | specificitiesinclude both alpha–beta and
beta–beta. This line fro
m chromatography .data systems (CDSs) and to LIMS. |
+---------+---------------------------------------------------------------------
---------------------------------------------------------+
3 rows in set (0.00 sec)
mysql> select note_id,note_text/*匹配短语*/
-> fromproductnotes
-> whereMatch(note_text) Against(‘"This line"‘ in boolean
mode);
+---------+---------------------------------------------------------------------
---------------------------------------------------------+
| note_id | note_text
|
+---------+---------------------------------------------------------------------
---------------------------------------------------------+
| 5 | This line ofproprietary reagents,. containers,
and automation tools
is designed. forgenomics and drug discovery .research. |
| 7 | specificitiesinclude both alpha–beta and
beta–beta. This line fro
m chromatography .data systems (CDSs) and to LIMS. |
+---------+---------------------------------------------------------------------
---------------------------------------------------------+
2 rows in set (0.00 sec)
10、使用说明
l 在索引全文本数据时，短词被忽略且从索引中排除。短词的定义为那些具有3个或脸上以下字符的词（如果需要，这个数目可以更新）。
l MySQL带有一个内建的非用词（stopword）列表，这些词在索引全文本数据时总是被忽略。如果需要，可以覆盖这个列表。
l MySQL规定了一条50%规则，如果一个词出现在50%以上的行中，则将它作为一个非用词忽略。50%规则不用于IN BOOLEAN
MODE。
l 如果表中的行数少于3行，则全文本搜索不返回结果（因为每个词或者不出现，或者至少出现在50%的行中）。
l 忽略词中的单引号。如，don’t索引为dont。
l 不具有词分隔符的语言不能恰当地返回全文本搜索结果。
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