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servlet tomcat servlet tomcat Relevance values are non-negative floating-point numbers. Zero relevance means no similarity. Relevance is computed based on the number of words in the row, the number of unique words in that row, the total number of words in the collection, and the number of documents (rows) that contain a particular word. To simply count matches, you could use a query like this: mysql> SELECT COUNT(*) FROM articles -> WHERE MATCH (title,body) -> AGAINST ('database'); +----------+ | COUNT(*) | +----------+ | 2 | +----------+ 1 row in set (0.00 sec) However, you might find it quicker to rewrite the query as follows: mysql> SELECT -> COUNT(IF(MATCH (title,body) AGAINST ('database'), 1, NULL)) -> AS count -> FROM articles; +-------+ | count | +-------+ | 2 | +-------+ 1 row in set (0.

servlet tomcat 00 sec) The first query sorts the results by relevance whereas the second does not. However, the second query performs a full table scan and the first does not. The first may be faster if the search matches few rows; otherwise, the second may be faster because it would read many rows anyway. For natural-language full-text searches, it is a requirement that the columns named in the MATCH() function be the same columns included in some FULLTEXT index in your table. For the preceding query, note that the columns named in the MATCH() function (title and body) are the same as those named in the definition of the article table's FULLTEXT index.

servlet tomcat If you wanted to search the title or body separately, you would need to create separate FULLTEXT indexes for each column. It is also possible to perform a boolean search or a search with query expansion. These search types are described in Section 12.8.1, “Boolean Full-Text Searches”, and Section 12.

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