I am a bit lost, this looks like some silly mistake - but I have no clue what that can be. Here is the test session:
mysql> drop table articles;
Query OK, 0 rows affected (0.02 sec)
mysql> CREATE TABLE articles (body TEXT, title VARCHAR(250), id INT NOT NULL auto_increment, PRIMARY KEY(id)) ENGINE = MYISAM;
Query OK, 0 rows affected (0.02 sec)
mysql> ALTER TABLE articles ADD FULLTEXT(body, title);
Query OK, 0 rows affected (0.02 sec)
Records: 0 Duplicates: 0 Warnings: 0
mysql> insert into articles(body) values ('Maya');
Query OK, 1 row affected (0.00 sec)
mysql> SELECT * FROM articles WHERE MATCH(title, body) AGAINST('Maya');
Empty set (0.00 sec)
mysql> select * from articles
-> ;
+------+-------+----+
| body | title | id |
+------+-------+----+
| Maya | NULL | 1 |
+------+-------+----+
1 row in set (0.00 sec)
This is on "mysqld Ver 5.1.37-1ubuntu5 for debian-linux-gnu on i486 ((Ubuntu))".
Here is the script for simple cut and paste (please try it and verify if it works on your system):
CREATE TABLE articles (body TEXT, title VARCHAR(250), id INT NOT NULL auto_increment, PRIMARY KEY(id)) ENGINE = MYISAM;
ALTER TABLE articles ADD FULLTEXT(body, title);
insert into articles(body) values ('Maya');
SELECT * FROM articles WHERE MATCH(title, body) AGAINST('Maya');
MySQL Full-Text Search is enabled by adding a FULLTEXT index to your searchable fields. You then use MATCH ... AGAINST with one of three searching modes to get your results. Natural language queries return a search relevance score which you can use to rank your results.
Full-text indexes are created on text-based columns ( CHAR , VARCHAR , or TEXT columns) to speed up queries and DML operations on data contained within those columns. A full-text index is defined as part of a CREATE TABLE statement or added to an existing table using ALTER TABLE or CREATE INDEX .
To drop a FULLTEXT index, you use the ALTER TABLE DROP INDEX statement.
In MySQL there are three types of full-text searches:
From MySQL manual entry:
A natural language search interprets the search string as a phrase in natural human language (a phrase in free text). There are no special operators. The stopword list applies. In addition, words that are present in 50% or more of the rows are considered common and do not match. Full-text searches are natural language searches if the IN NATURAL LANGUAGE MODE modifier is given or if no modifier is given.
For example, try to add two more records:
INSERT INTO articles(body) VALUES ('Some text'), ('Another text');
And run the same SELECT again - it will work.
As a workaround, you can use boolean mode, which doesn't have this "50%" rule:
SELECT * FROM articles WHERE MATCH(title, body) AGAINST('Maya' IN BOOLEAN MODE);
Words in 50% of rows or more do not match. See mysql doc: http://dev.mysql.com/doc/refman/5.0/en/fulltext-search.html
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