一個單詞搜索的相關度排名,這個例子演示了一個單詞搜索的相關度排名計算。

mysql>?CREATE?TABLE?articles?(

->?id?INT?UNSIGNED?AUTO_INCREMENT?NOT?NULL?PRIMARY?KEY,

->?title?VARCHAR(200),

->?body?TEXT,

->?FULLTEXT?(title,body)

->?)?ENGINE=InnoDB;

Query?OK,?0?rows?affected?(0.56?sec)

mysql>?INSERT?INTO?articles?(title,body)?VALUES

->?('MySQL?Tutorial','This?database?tutorial?...'),

->?("How?To?Use?MySQL",'After?you?went?through?a?...'),

->?('Optimizing?Your?Database','In?this?database?tutorial?...'),

->?('MySQL?vs.?YourSQL','When?comparing?databases?...'),

->?('MySQL?Security','When?configured?properly,?MySQL?...'),

->?('Database,?Database,?Database','database?database?database'),

->?('1001?MySQL?Tricks','1.?Never?run?mysqld?as?root.?2.?...'),

->?('MySQL?Full-Text?Indexes',?'MySQL?fulltext?indexes?use?a?..');

Query?OK,?8?rows?affected?(0.02?sec)

Records:?8??Duplicates:?0??Warnings:?0

mysql>?SELECT?id,?title,?body,?MATCH?(title,body)?AGAINST?('database'?IN?BOOLEAN?MODE)?AS?score?FROM?articles?ORDER?BY?score?DESC;

+----+------------------------------+-------------------------------------+---------------------+

|?id?|?title????????????????????????|?body????????????????????????????????|?score???????????????|

+----+------------------------------+-------------------------------------+---------------------+

|??6?|?Database,?Database,?Database?|?database?database?database??????????|??1.0886961221694946?|

|??3?|?Optimizing?Your?Database?????|?In?this?database?tutorial?...???????|?0.36289870738983154?|

|??1?|?MySQL?Tutorial???????????????|?This?database?tutorial?...??????????|?0.18144935369491577?|

|??2?|?How?To?Use?MySQL?????????????|?After?you?went?through?a?...????????|???????????????????0?|

|??4?|?MySQL?vs.?YourSQL????????????|?When?comparing?databases?...????????|???????????????????0?|

|??5?|?MySQL?Security???????????????|?When?configured?properly,?MySQL?...?|???????????????????0?|

|??7?|?1001?MySQL?Tricks????????????|?1.?Never?run?mysqld?as?root.?2.?...?|???????????????????0?|

|??8?|?MySQL?Full-Text?Indexes??????|?MySQL?fulltext?indexes?use?a?..?????|???????????????????0?|

+----+------------------------------+-------------------------------------+---------------------+

8?rows?in?set?(0.00?sec)

總共有8條記錄，其中3條與數據庫搜索詞匹配。第一條記錄(id 6)包含搜索詞6次，相關度排名為1.0886961221694946。這個排名值計算使用TF的價值6(數據庫搜索詞出現6次記錄id 6)和IDF值為0.42596873216370745,計算如下(8是記錄的總數和3是包含搜索詞的記錄數量)

${IDF}?=?log10(?8?/?3?)?=?0.42596873216370745

mysql>?select?log10(?8?/?3?)?;

+---------------------+

|?log10(?8?/?3?)??????|

+---------------------+

|?0.42596873216370745?|

+---------------------+

1?row?in?set?(0.00?sec)

然后將TF和IDF值輸入到排名公式中

${rank}?=?${TF}?*?${IDF}?*?${IDF}

在MySQL命令行客戶端執行計算將返回一個排名值1.088696164686938。

mysql>?SELECT?6*log10(8/3)*log10(8/3);

+-------------------------+

|?6*log10(8/3)*log10(8/3)?|

+-------------------------+

|???????1.088696164686938?|

+-------------------------+

1?row?in?set?(0.00?sec)

您可能會注意到SELECT ... MATCH ... AGAINST語句和MySQL命令行客戶端所計算的排名值有差別(1.0886961221694946對1.088696164686938)。區別在于InnoDB內部是如何執行整數和浮點數/雙精度類型轉換的(以及相關的精度和四舍五的決定)，以及它們在其他地方是如何執行的，比如在MySQL命令行客戶端或其他類型的計算器中。

多詞搜索的相關度排名

這個示例演示了基于前面示例中使用的articles表和數據計算多單詞全文搜索的相關度排名。

如果你搜索的是一個以上的單詞，那么相關度排名值就是每個單詞相關度排名值的總和，如下公式所示:

${rank}?=?${TF}?*?${IDF}?*?${IDF}?+?${TF}?*?${IDF}?*?${IDF}

執行兩個搜索詞('mysql tutorial')搜索將返回以下結果:

mysql>?SELECT?id,?title,?body,?MATCH?(title,body)?AGAINST?('mysql?tutorial'?IN?BOOLEAN?MODE)?AS?score?FROM?articles?ORDER?BY?score?DESC;

+----+------------------------------+-------------------------------------+----------------------+

|?id?|?title????????????????????????|?body????????????????????????????????|?score????????????????|

+----+------------------------------+-------------------------------------+----------------------+

|??1?|?MySQL?Tutorial???????????????|?This?database?tutorial?...??????????|???0.7405621409416199?|

|??3?|?Optimizing?Your?Database?????|?In?this?database?tutorial?...???????|???0.3624762296676636?|

|??5?|?MySQL?Security???????????????|?When?configured?properly,?MySQL?...?|?0.031219376251101494?|

|??8?|?MySQL?Full-Text?Indexes??????|?MySQL?fulltext?indexes?use?a?..?????|?0.031219376251101494?|

|??2?|?How?To?Use?MySQL?????????????|?After?you?went?through?a?...????????|?0.015609688125550747?|

|??4?|?MySQL?vs.?YourSQL????????????|?When?comparing?databases?...????????|?0.015609688125550747?|

|??7?|?1001?MySQL?Tricks????????????|?1.?Never?run?mysqld?as?root.?2.?...?|?0.015609688125550747?|

|??6?|?Database,?Database,?Database?|?database?database?database??????????|????????????????????0?|

+----+------------------------------+-------------------------------------+----------------------+

8?rows?in?set?(0.00?sec)

在第一條記錄(id 1)中，“mysql”出現一次，“tutorial”出現兩次。“mysql”有六條匹配記錄，“tutorial”有兩條匹配記錄。當將這些值插入到用于多個單詞搜索的排名公式中時，MySQL命令行客戶端返回預期的排名值

mysql>?SELECT?(1*log10(8/6)*log10(8/6))?+?(2*log10(8/2)*log10(8/2));

+-------------------------------------------------------+

|?(1*log10(8/6)*log10(8/6))?+?(2*log10(8/2)*log10(8/2))?|

+-------------------------------------------------------+

|????????????????????????????????????0.7405621541938003?|

+-------------------------------------------------------+

1?row?in?set?(0.00?sec)

與單個單詞搜索一樣，使用select ... match ... against語句和MySQL命令行工具執行的結果有差

總結

以上是生活随笔為你收集整理的mysql 相关搜索_MySQL单词搜索相关度排名的全部內容，希望文章能夠幫你解決所遇到的問題。

如果覺得生活随笔網站內容還不錯，歡迎將生活随笔推薦給好友。