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servlet java servlet java The search string is given as the argument to AGAINST(). For each row in the table, MATCH() returns a relevance value; that is, a similarity measure between the search string and the text in that row in the columns named in the MATCH() list. By default, the search is performed in case-insensitive fashion. However, you can perform a case-sensitive full-text search by using a binary collation for the indexed columns. For example, a column that uses the latin1 character set of can be assigned a collation of latin1_bin to make it case sensitive for full-text searches.

servlet java When MATCH() is used in a WHERE clause, as in the example shown earlier, the rows returned are automatically sorted with the highest relevance first. 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.

servlet java 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 (0.00 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.

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