Have you ever thought how does the search functionality is implemented in all the websites! Most of the internet blogs and websites are powered by MySQL database. MySQL provides a wonderful way (Full-text Search) of implementing a little search engine in your website. All you have to do is to have MySQL 4.x and above. MySQL provides full text search capabilities that we can use to implement search functionality.
First let us setup a sample table for our example. We will create a table called Article.
Also add some sample data in this table. Execute following insert query.
INSERTINTO 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 ...');
Once the sample data is ready in our table, we can start with our full-text search functionality.
Natural Language Full-Text Searches
Try to execute following Select query on our sample table.
SELECT * FROM articles
WHEREMATCH (title,body) AGAINST ('database');
You will be able to see following result:
5 MySQL vs. YourSQL In the following database comparison ...
1 MySQL Tutorial DBMS stands for DataBase ...
In above sql query we used MATCH (title,body) AGAINST (‘database’) to select all the records by performing a full text search on columns title and body.
You can modify this query and create your own version to perform full-text search in your own database.
Boolean Full-Text Searches
It may happen that you want to specify certain keywords in your search criteria. Also you may want to ignore certain keywords. Boolean Full-Text Search can used to perform a full text search for such requirements.
Check the following Select query.
SELECT * FROM articles WHEREMATCH (title,body)
AGAINST ('+MySQL -YourSQL'INBOOLEANMODE);
If you notice the above Select query, we have added IN BOOLEAN MODE in against(). This query will fetch all the records which has MySQL keyword but not YourSQL keyword. Notice the + and – that we have specified before the keywords!
In implementing this feature, MySQL uses what is sometimes referred to as implied Boolean logic, in which:
+ stands for AND– stands for NOT[no operator] implies OR
Following are few examples for the boolean search criteria.
Find rows that contain at least one of the two words.
Find rows that contain both words.
Find rows that contain the word “apple”, but rank rows higher if they also contain “macintosh”.
Find rows that contain the word “apple” but not “macintosh”.
Find rows that contain the word “apple”, but if the row also contains the word “macintosh”, rate it lower than if row does not. This is “softer” than a search for ‘+apple -macintosh’, for which the presence of “macintosh” causes the row not to be returned at all.
‘+apple +(>turnover <strudel)’
Find rows that contain the words “apple” and “turnover”, or “apple” and “strudel” (in any order), but rank “apple turnover” higher than “apple strudel”.
The Full-text searches are supported for MyISAM tables only. As of MySQL 4.1, the use of multiple character sets within a single table is supported. However, all columns in a FULLTEXT index must use the same character set and collation. The MATCH() column list must match exactly the column list in some FULLTEXT index definition for the table, unless this MATCH() is IN BOOLEAN MODE. Boolean-mode searches can be done on non-indexed columns, although they are likely to be slow.