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What is full-text indexing in MySQL?
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 .
How do I search for a word in MySQL?
If you have phpMyAdmin installed use its ‘Search’ feature.
- Select your DB.
- Be sure you do have a DB selected (i.e. not a table, otherwise you’ll get a completely different search dialog)
- Click ‘Search’ tab.
- Choose the search term you want.
- Choose the tables to search.
How does full text search work in MySQL?
The full-text engine splits the phrase into words and performs a search in the FULLTEXT index for the words. Nonword characters need not be matched exactly: Phrase searching requires only that matches contain exactly the same words as the phrase and in the same order. For example, “test phrase” matches “test, phrase”.
How to optimize a full text index in MySQL?
Running OPTIMIZE TABLE on a table with a full-text index rebuilds the full-text index, removing deleted Document IDs and consolidating multiple entries for the same word, where possible. To optimize a full-text index, enable innodb_optimize_fulltext_only and run OPTIMIZE TABLE .
Which is an example of the MySQL fulltext implementation?
For example, if all words are either stopwords or shorter than the minimum length of indexed words, the result is empty. The MySQL FULLTEXT implementation regards any sequence of true word characters (letters, digits, and underscores) as a word.
Which is full text parser does MySQL use?
MySQL provides a built-in full-text ngram parser that supports Chinese, Japanese, and Korean (CJK), and an installable MeCab full-text parser plugin for Japanese. Parsing differences are outlined in Section 12.10.8, “ngram Full-Text Parser”, and Section 12.10.9, “MeCab Full-Text Parser Plugin” .