A FULLTEXT index definition can be given either in the CREATE TABLE statement, or added later using the ALTER TABLE or CREATE INDEX commands. Finally, note that full-text indexes can be created only for CHAR, VARCHAR, or TEXT columns. Moreover, full-text indexes can be used only with MyISAM and InnoDB tables. In order to perform full-text searches in MySQL, you have to add a FULLTEXT index to fields that will support full-text searching. They're also limited to matching the user's input exactly, which means a query might yield no results even if there are in fact records with relevant information.They tend to under-perform on large datasets.There are however some drawbacks to the Like clause: This allows businesses to guess at what the user is searching for and return more relevant results in a faster time.ĭatabase Management Systems (DBMS) like MySQL do allow quasi text lookups using LIKE expressions. Hence, searching for "cars and trucks", would return results which contain the words separately, as in just "cars" or "trucks", or that contain the words in a different order ("trucks and cars"), or contain variants of the search terms, e.g. The purpose of FTS is to fetch documents that only loosely match search criteria against textual data. In part 2, we'll try our hand at some queries using Navicat for MySQL as our database client. In today's blog, we'll learn how full-text searching is implemented in MySQL. You too can harness the power of FTS to search for patterns that are too complex for the Like operator. Full-text Search, or FTS, is one of the techniques employed by search engines to find results in their database(s).
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