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MySQL full-text search is an efficient way to perform complex searches within the text data stored in the database. The MySQL full-text search allows you to search natural language text rather than matching patterns. It goes beyond the traditional LIKE operator and regular expression searches.
MySQL provides the MATCH() and AGAINST() functions to perform full-text searches: The MATCH() function accepts a comma-separated list of column names to be searched. The AGAINST() function takes a string to search for and an optional modifier that indicates the type of search.
Introduction to the MySQL full-text index. MySQL full-text index is a kind of index that allows you to perform efficient text searches. The full-text index has the type of FULLTEXT. MySQL supports full-text indexes for InnoDB or MyISAM tables with CHAR, VARCHAR, and TEXT columns.
In natural language full-text searches, MySQL looks for documents relevant to the free-text natural human language query. MySQL represents the relevance as a positive floating-point number, where a relevance of zero indicates no similarity.
Create a full-text index on the columns properly and tune configuration variables to enhance the performance of the full-text searches. Form the full-text search queries that effectively use the full-text index to improve the search performance.
MySQL allows you to perform a full-text search based on highly complex queries in Boolean mode, leveraging Boolean operators. This is why the full-text search in Boolean mode is best suited for experienced users.
To help the users find information based on these too-short keywords, MySQL full-text search engine introduces a concept called query expansion. The query expansion is used to widen the search result of the full-text searches based on automatic relevance feedback (or blind query expansion).
MySQL supports ngram full-text parser for both InnoDB and MyISAM storage engines. By definition, an ngram is a contiguous sequence of characters from a text sequence. The primary function of the ngram full-text parser is to tokenize a text sequence into contiguous n-character sequences.
This section covers the advanced MySQL concepts including triggers, views, indexes, stored procedures, full-text searches, and administration.
Whether you’re a developer or a database enthusiast, our tutorials are designed to make learning MySQL a breeze. Our tutorials are packed with clear explanations and practical examples to help you find everything you need to become proficient in MySQL.
MySQL cheat sheet provides you with the on-page that contains the most commonly used statements that help you practice with MySQL more effectively.
To back up a database on the MySQL server, you use the mysqldump program that comes by default with the MySQL client installation. To restore a backup created by the mysqldump program, you use the mysql command-line program. We’ll demonstrate how to back up and restore a database on a MySQL server.
It contains typical business data, including information about customers, products, sales orders, sales order line items, and more. We’ll use this sample database in our MySQL tutorials to demonstrate a wide range of MySQL features, from simple queries to complex stored procedures.
MySQL provides you with a useful string function called REPLACE that allows you to replace a string in a column of a table by a new string. The syntax of the REPLACE function is as follows: REPLACE ( str ,old_string,new_string); Code language: SQL (Structured Query Language) ( sql )
It is a powerful tool that gives you a concise and flexible way to identify text strings, such as characters and words, based on patterns. For example, you can use regular expressions to search for emails, IP addresses, phone numbers, social security numbers, or anything with a specific pattern.
This tutorial shows you how to use various MySQL TEXT data type such as TINYTEXT, TEXT, MEDIUMTEXT, and LONGTEXT to store text data.
Use the SHOW TABLE statement to list all tables in a database. Use the SHOW FULL TABLE statement to return an additional column that indicates the object is a view or table. Use the SHOW TABLE FROM statement to list tables in a database. Use the SHOW TABLE WHERE statement or SHOW TABLE LIKE statement to filter the tables in a database.
Sometimes, you want to locate a substring in a string or to check if a substring exists in a string. In this case, you can use a string built-in function called INSTR. The INSTR function returns the position of the first occurrence of a substring in a string.
The LOCATE() function returns the position of a substring within a given string. The LOCATE() function has the following syntax: LOCATE(substring, string, position) Code language: SQL (Structured Query Language) (sql) In this syntax:
Summary: in this tutorial, you will learn how to use the MySQL LIKE operator to query data based on a specified pattern. Introduction to MySQL LIKE operator. The LIKE operator is a logical operator that tests whether a string contains a specified pattern or not. Here’s the syntax of the LIKE operator:
In this tutorial, you will learn to list databases in the MySQL database server using the MySQL SHOW DATABASES command.
MySQL provides a built-in string function called FIND_IN_SET() that allows you to find the position of a string within a comma-separated list of strings. The following illustrates the syntax of the FIND_IN_SET function:
Use the MyISAM storage engine for read-heavy workloads and applications that require full-text search capabilities. MyISAM storage engine doesn’t support some important features such as transactions and foreign keys, which are essential for data integrity in many applications.