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mysql:全文檢索

一、msyql全文检索

1. 定义

是将存储于数据库中的整本书或整篇文章中的任意内容信息查找出来的技术。

2. 相关设置 

//创建测试表
CREATE TABLE fts_a(
FTS_DOC_ID BIGINT UNSIGNED AUTO_INCREMENT NOT NULL,
body TEXT,
PRIMARY KEY(FTS_DOC_ID)
);

//插入测试数据
INSERT INTO fts_a SELECT NULL,'Pease porridge in the pot';
INSERT INTO fts_a SELECT NULL,'Pease porridge hot,pease porridge cold';
INSERT INTO fts_a SELECT NULL,'Nine days old';
INSERT INTO fts_a SELECT NULL,'Some like it hot,some like it cold';
INSERT INTO fts_a SELECT NULL,'Some like it in the pot';
INSERT INTO fts_a SELECT NULL,'Nine days old';
INSERT INTO fts_a SELECT NULL,'I like code days';

//创建倒排索引
CREATE FULLTEXT INDEX idx_fts ON fts_a(body);

//查看分词对应的信息：
mysql> show variables like 'innodb_ft_aux_table';
+---------------------+-------+
| Variable_name       | Value |
+---------------------+-------+
| innodb_ft_aux_table |       |
+---------------------+-------+

mysql> SET GLOBAL innodb_ft_aux_table='learn/fts_a'; //learn为数据库名
mysql> show variables like 'innodb_ft_aux_table';
+---------------------+-------------+
| Variable_name       | Value       |
+---------------------+-------------+
| innodb_ft_aux_table | learn/fts_a |
+---------------------+-------------+

//可以看到每个word都对应了一个DOC_ID和POSITION。此外，还记录了FIRST_DOC_ID、LAST_DOC_ID以及DOC_COUNT，分别代表了该word第一次出现的文档ID，最后一次出现的文档ID，以及该word在多少个文档中存在。
mysql> SELECT*FROM information_schema.INNODB_FT_INDEX_TABLE;
+----------+--------------+-------------+-----------+--------+----------+
| WORD     | FIRST_DOC_ID | LAST_DOC_ID | DOC_COUNT | DOC_ID | POSITION |
+----------+--------------+-------------+-----------+--------+----------+
| code     |            7 |           7 |         1 |      7 |        7 |
| cold     |            2 |           4 |         2 |      2 |       34 |
| cold     |            2 |           4 |         2 |      4 |       30 |
| days     |            3 |           7 |         3 |      3 |        5 |
| days     |            3 |           7 |         3 |      6 |        5 |
| days     |            3 |           7 |         3 |      7 |       12 |
| hot      |            2 |           4 |         2 |      2 |       15 |
| hot      |            2 |           4 |         2 |      4 |       13 |
| like     |            4 |           7 |         3 |      4 |        5 |
| like     |            4 |           7 |         3 |      4 |       17 |
| like     |            4 |           7 |         3 |      5 |        5 |
| like     |            4 |           7 |         3 |      7 |        2 |
| nine     |            3 |           6 |         2 |      3 |        0 |
| nine     |            3 |           6 |         2 |      6 |        0 |
| old      |            3 |           6 |         2 |      3 |       10 |
| old      |            3 |           6 |         2 |      6 |       10 |
| pease    |            1 |           2 |         2 |      1 |        0 |
| pease    |            1 |           2 |         2 |      2 |        0 |
| pease    |            1 |           2 |         2 |      2 |       19 |
| porridge |            1 |           2 |         2 |      1 |        6 |
| porridge |            1 |           2 |         2 |      2 |        6 |
| porridge |            1 |           2 |         2 |      2 |       19 |
| pot      |            1 |           5 |         2 |      1 |       22 |
| pot      |            1 |           5 |         2 |      5 |       20 |
| some     |            4 |           5 |         2 |      4 |        0 |
| some     |            4 |           5 |         2 |      4 |       17 |
| some     |            4 |           5 |         2 |      5 |        0 |
+----------+--------------+-------------+-----------+--------+----------+

//全文检索:stopword列表:表示该列表中的word不需要对其进行索引分词操作
//创建用户表
CREATE TABLE `user_stopword` (
  `value` varchar(30) DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;

//设置路径
mysql> show variables like 'innodb_ft_server_stopword_table';
+---------------------------------+-------+
| Variable_name                   | Value |
+---------------------------------+-------+
| innodb_ft_server_stopword_table |       |
+---------------------------------+-------+
mysql> SET GLOBAL innodb_ft_server_stopword_table="learn/user_stopword";
mysql> show variables like 'innodb_ft_server_stopword_table';
+---------------------------------+---------------------+
| Variable_name                   | Value               |
+---------------------------------+---------------------+
| innodb_ft_server_stopword_table | learn/user_stopword |
+---------------------------------+---------------------+

3. 全文检索机制

对于InnoDB存储引擎的全文检索，还需要考虑以下的因素：

  • 查询的word在stopword列中，忽略该字符串的查询。

  • 查询的word的字符长度是否在区间[innodb_ft_min_token_size，innodb_ft_max_token_size]内。

    参数innodb_ft_min_token_size和innodb_ft_max_token_size控制InnoDB存储引擎查询字符的长度，当长度小于innodb_ft_min_token_size，或者长度大于innodb_ft_max_token_size时，会忽略该词的搜索。

mysql> show variables like 'innodb_ft_min_token_size';
+--------------------------+-------+
| Variable_name            | Value |
+--------------------------+-------+
| innodb_ft_min_token_size | 3     |
+--------------------------+-------+

mysql> show variables like 'innodb_ft_max_token_size';
+--------------------------+-------+
| Variable_name            | Value |
+--------------------------+-------+
| innodb_ft_max_token_size | 84    |
+--------------------------+-------+

4. 使用限制

当前InnoDB存储引擎的全文检索还存在以下的限制：

  • 每张表只能有一个全文检索的索引。
  • 由多列组合而成的全文检索的索引列必须使用相同的字符集与排序规则。
  • 不支持没有单词界定符（delimiter）的语言，如中文、日语、韩语等。

一、msyql全文检索使用

1. Natural Language 

//(1) 不使用全文搜素技术
mysql> SELECT*FROM fts_a WHERE body LIKE'%Pease%';
+------------+----------------------------------------+
| FTS_DOC_ID | body                                   |
+------------+----------------------------------------+
|          1 | Pease porridge in the pot              |
|          2 | Pease porridge hot,pease porridge cold |
+------------+----------------------------------------+

mysql> explain SELECT*FROM fts_a WHERE body LIKE'%Pease%';
+----+-------------+-------+------------+------+---------------+------+---------+------+------+----------+-------------+
| id | select_type | table | partitions | type | possible_keys | key  | key_len | ref  | rows | filtered | Extra       |
+----+-------------+-------+------------+------+---------------+------+---------+------+------+----------+-------------+
|  1 | SIMPLE      | fts_a | NULL       | ALL  | NULL          | NULL | NULL    | NULL |    7 |    14.29 | Using where |
+----+-------------+-------+------------+------+---------------+------+---------+------+------+----------+-------------+

//(2) 使用全文检索技术
mysql> SELECT * FROM fts_a  WHERE MATCH(body)  AGAINST('Porridge' IN NATURAL LANGUAGE MODE);
//mysql> SELECT * FROM fts_a WHERE MATCH(body) AGAINST('Porridge');
+------------+----------------------------------------+
| FTS_DOC_ID | body                                   |
+------------+----------------------------------------+
|          2 | Pease porridge hot,pease porridge cold |
|          1 | Pease porridge in the pot              |
+------------+----------------------------------------+

mysql> explain SELECT * FROM fts_a  WHERE MATCH(body)  AGAINST('Porridge' IN NATURAL LANGUAGE MODE);
+----+-------------+-------+------------+----------+---------------+---------+---------+-------+------+----------+-------------------------------+
| id | select_type | table | partitions | type     | possible_keys | key     | key_len | ref   | rows | filtered | Extra                         |
+----+-------------+-------+------------+----------+---------------+---------+---------+-------+------+----------+-------------------------------+
|  1 | SIMPLE      | fts_a | NULL       | fulltext | idx_fts       | idx_fts | 0       | const |    1 |   100.00 | Using where; Ft_hints: sorted |
+----+-------------+-------+------------+----------+---------------+---------+---------+-------+------+----------+-------------------------------+

//统计次数
//慢:需要进行相关性的排序统计
mysql> SELECT count(*)  FROM fts_a WHERE  MATCH(body) AGAINST('Porridge');
+----------+
| count(*) |
+----------+
|        2 |
+----------+
//更快:不需要进行相关性的排序统计
mysql> SELECT COUNT(IF(MATCH(body) AGAINST('Porridge'),1,NULL)) AS count  FROM fts_a;
+-------+
| count |
+-------+
|     2 |
+-------+

//查看相关性
mysql> SELECT fts_doc_id,body, MATCH(body)AGAINST('Porridge')  AS Relevance FROM fts_a;
+------------+----------------------------------------+--------------------+
| fts_doc_id | body                                   | Relevance          |
+------------+----------------------------------------+--------------------+
|          1 | Pease porridge in the pot              | 0.2960100471973419 |
|          2 | Pease porridge hot,pease porridge cold | 0.5920200943946838 |
|          3 | Nine days old                          |                  0 |
|          4 | Some like it hot,some like it cold     |                  0 |
|          5 | Some like it in the pot                |                  0 |
|          6 | Nine days old                          |                  0 |
|          7 | I like code days                       |                  0 |
+------------+----------------------------------------+--------------------+

//the 在stopword中 故相关性为0
mysql> insert into user_stopword  values('the');

mysql> select * from user_stopword;
+-------+
| value |
+-------+
| the   |
+-------+

mysql> SELECT fts_doc_id AS id,body, MATCH(body)AGAINST('the')  AS rl FROM fts_a;
+----+----------------------------------------+------+
| id | body                                   | rl   |
+----+----------------------------------------+------+
|  1 | Pease porridge in the pot              |    0 |
|  2 | Pease porridge hot,pease porridge cold |    0 |
|  3 | Nine days old                          |    0 |
|  4 | Some like it hot,some like it cold     |    0 |
|  5 | Some like it in the pot                |    0 |
|  6 | Nine days old                          |    0 |
|  7 | I like code days                       |    0 |
+----+----------------------------------------+------+

2. Boolean

(1) 支持的操作

Boolean全文检索支持以下几种操作符：

  • +表示该word必须存在。
  • -表示该word必须被排除。
  • (no operator)表示该word是可选的，但是如果出现，其相关性会更高
  • @distance表示查询的多个单词之间的距离是否在distance之内，distance的单位是字节。这种全文检索的查询也称为Proximity Search。如MATCH（body）AGAINST（’“Pease pot”@30’IN BOOLEAN MODE）表示字符串Pease和pot之间的距离需在30字节内。
  • ＞表示出现该单词时增加相关性。
  • <表示出现该单词时降低相关性。
  • ~表示允许出现该单词，但是出现时相关性为负（全文检索查询允许负相关性）。
  • * 表示以该单词开头的单词，如lik*，表示可以是lik、like，又或者likes。
  • "表示短语。

(2) 举例 

//要求查询有字符串Pease但没有hot的文档
mysql> SELECT * FROM fts_a  WHERE MATCH(body) AGAINST('+Pease-hot' IN BOOLEAN MODE);
+------------+---------------------------+
| FTS_DOC_ID | body                      |
+------------+---------------------------+
|          1 | Pease porridge in the pot |
+------------+---------------------------+

//要求查询有字符串Pease但有hot的文档
mysql> SELECT * FROM fts_a  WHERE MATCH(body) AGAINST('+Pease+hot' IN BOOLEAN MODE);
+------------+----------------------------------------+
| FTS_DOC_ID | body                                   |
+------------+----------------------------------------+
|          2 | Pease porridge hot,pease porridge cold |
+------------+----------------------------------------+

//要求查询有字符串Pease但有hot的文档
mysql> SELECT * FROM fts_a  WHERE MATCH(body) AGAINST('Pease hot' IN BOOLEAN MODE);
+------------+----------------------------------------+
| FTS_DOC_ID | body                                   |
+------------+----------------------------------------+
|          2 | Pease porridge hot,pease porridge cold |
|          1 | Pease porridge in the pot              |
|          4 | Some like it hot,some like it cold     |
+------------+----------------------------------------+

//邻近搜索:查询Pease和hot相差多少字节
mysql> SELECT * FROM fts_a  WHERE MATCH(body) AGAINST('"Pease hot"@30'IN BOOLEAN MODE);
+------------+----------------------------------------+
| FTS_DOC_ID | body                                   |
+------------+----------------------------------------+
|          2 | Pease porridge hot,pease porridge cold |
+------------+----------------------------------------+
1 row in set (0.01 sec)

mysql> SELECT * FROM fts_a  WHERE MATCH(body) AGAINST('"Pease hot"@1'IN BOOLEAN MODE);
Empty set (0.00 sec)


//根据是否有单词like或pot进行相关性统计，并且出现单词pot后相关性需要增加,出现some单词后相关性需要减少
mysql> SELECT * From fts_a WHERE MATCH(body) AGAINST('like>hot' IN BOOLEAN MODE);
+------------+----------------------------------------+
| FTS_DOC_ID | body                                   |
+------------+----------------------------------------+
|          4 | Some like it hot,some like it cold     |
|          2 | Pease porridge hot,pease porridge cold |
|          5 | Some like it in the pot                |
|          7 | I like code days                       |
+------------+----------------------------------------+

mysql> SELECT fts_doc_id,body,MATCH(body)AGAINST('like>pot' IN BOOLEAN MODE) AS Relevance FROM fts_a;
+------------+----------------------------------------+---------------------+
| fts_doc_id | body                                   | Relevance           |
+------------+----------------------------------------+---------------------+
|          1 | Pease porridge in the pot              |  1.2960100173950195 |
|          2 | Pease porridge hot,pease porridge cold |                   0 |
|          3 | Nine days old                          |                   0 |
|          4 | Some like it hot,some like it cold     | 0.27081382274627686 |
|          5 | Some like it in the pot                |  1.4314169883728027 |
|          6 | Nine days old                          |                   0 |
|          7 | I like code days                       | 0.13540691137313843 |
+------------+----------------------------------------+---------------------+

mysql> SELECT * From fts_a WHERE MATCH(body) AGAINST('like>hot<some'IN BOOLEAN MODE);
+------------+----------------------------------------+
| FTS_DOC_ID | body                                   |
+------------+----------------------------------------+
|          2 | Pease porridge hot,pease porridge cold |
|          4 | Some like it hot,some like it cold     |
|          7 | I like code days                       |
|          5 | Some like it in the pot                |
+------------+----------------------------------------+
4 rows in set (0.00 sec)

mysql> SELECT fts_doc_id,body,MATCH(body)AGAINST('like>pot<some' IN BOOLEAN MODE) AS Relevance FROM fts_a;
+------------+----------------------------------------+---------------------+
| fts_doc_id | body                                   | Relevance           |
+------------+----------------------------------------+---------------------+
|          1 | Pease porridge in the pot              |  1.2960100173950195 |
|          2 | Pease porridge hot,pease porridge cold |                   0 |
|          3 | Nine days old                          |                   0 |
|          4 | Some like it hot,some like it cold     | -0.1371660828590393 |
|          5 | Some like it in the pot                |  0.7274270057678223 |
|          6 | Nine days old                          |                   0 |
|          7 | I like code days                       | 0.13540691137313843 |
+------------+----------------------------------------+---------------------+

//文档包含以po开头的单词
mysql> SELECT * From fts_a WHERE MATCH(body) AGAINST('po*'IN BOOLEAN MODE);
+------------+----------------------------------------+
| FTS_DOC_ID | body                                   |
+------------+----------------------------------------+
|          2 | Pease porridge hot,pease porridge cold |
|          1 | Pease porridge in the pot              |
|          5 | Some like it in the pot                |
+------------+----------------------------------------+

//查看是否包含like hot 短语(而不是2个单词)
mysql> SELECT * From fts_a WHERE MATCH(body) AGAINST('"like hot"'IN BOOLEAN MODE);
Empty set (0.00 sec)

mysql> SELECT * From fts_a WHERE MATCH(body) AGAINST('like hot'IN BOOLEAN MODE);
+------------+----------------------------------------+
| FTS_DOC_ID | body                                   |
+------------+----------------------------------------+
|          4 | Some like it hot,some like it cold     |
|          2 | Pease porridge hot,pease porridge cold |
|          5 | Some like it in the pot                |
|          7 | I like code days                       |
+------------+----------------------------------------+

3. Query Expansion

(1) 定义

全文检索的扩展查询。这种查询通常在查询的关键词太短，用户需要implied knowledge（隐含知识）时进行。

(2) 查询机制

  • 第一阶段：根据搜索的单词进行全文索引查询。
  • 第二阶段：根据第一阶段产生的分词再进行一次全文检索的查询。

(3) 缺点

由于Query Expansion的全文检索可能带来许多非相关性的查询，因此在使用时，用户可能需要非常谨慎。

(4) 举例 

//创建表
CREATE TABLE articles(
id INT UNSIGNED AUTO_INCREMENT NOT NULL PRIMARY KEY,
title VARCHAR(200),
body TEXT,
FULLTEXT(title,body)
)ENGINE=InnoDB;

//插入数据
INSERT INTO articles(title,body)VALUES
('MySQL Tutorial','DBMS stands for DataBase...'),
('How To Use MySQL Well','After you went through a...'),
('Optimizing MySQL','In this tutorial we will show...'),
('1001 MySQL Tricks','1.Never run mysqld as root.2....'),
('MySQL vs.YourSQL','In the following database comparison...'),
('MySQL Security','When configured properly,MySQL...'),
('Tuning DB2','For IBM database...'),
('IBM History','DB2 hitory for IBM...');

//普通检索
mysql> SELECT * FROM articles  WHERE MATCH(title,body)  AGAINST ('database' IN NATURAL LANGUAGE MODE);
+----+------------------+-----------------------------------------+
| id | title            | body                                    |
+----+------------------+-----------------------------------------+
|  1 | MySQL Tutorial   | DBMS stands for DataBase...             |
|  5 | MySQL vs.YourSQL | In the following database comparison... |
|  7 | Tuning DB2       | For IBM database...                     |
+----+------------------+-----------------------------------------+

//Query Expansion
mysql> SELECT * FROM articles WHERE MATCH(title,body) AGAINST('database' WITH QUERY EXPANSION);
+----+-----------------------+-----------------------------------------+
| id | title                 | body                                    |
+----+-----------------------+-----------------------------------------+
|  5 | MySQL vs.YourSQL      | In the following database comparison... |
|  1 | MySQL Tutorial        | DBMS stands for DataBase...             |
|  7 | Tuning DB2            | For IBM database...                     |
|  8 | IBM History           | DB2 hitory for IBM...                   |
|  3 | Optimizing MySQL      | In this tutorial we will show...        |
|  6 | MySQL Security        | When configured properly,MySQL...       |
|  2 | How To Use MySQL Well | After you went through a...             |
|  4 | 1001 MySQL Tricks     | 1.Never run mysqld as root.2....        |
+----+-----------------------+-----------------------------------------+
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