MySQLi - LIKE Clause
The MySQL LIKE clause is used in a WHERE clause to search for a specified pattern in a specified column. The wildcards which are used in conjunction with the LIKE clause are given below:
Wildcard Characters in MySQL
Symbol | Description | Example |
---|---|---|
% | Represents zero, one or multiple characters. | 'J%' represents a value that start with "J", for example - John, Jo and Jack etc. |
_ | Represents one character. | '_o%' represents a value that have "o" in the second position, for example - John, Jo and Journey etc. |
The syntax for using LIKE Clause is given below:
SELECT column1, column2, ... FROM table_name WHERE column LIKE pattern;
The table below describes patterns which is used with LIKE clause and uses (%) and (_).
Pattern | Description |
---|---|
'J%' | A value that start with "J". |
'%n' | A value that end with "n". |
'%oh%' | A value that have "oh" in any position. |
'_o%' | A value that have "o" in the second position. |
'J_%' | A value that start with "J" and have at least 2 characters. |
'J__%' | A value that start with "J" and have at least 3 characters. |
'J%n' | A value that start with "J" and ends with "n". |
Along with this, to connect to the MySQL server, mysqli_connect() function can be used. After establishing the connection, mysqli_query() function can be used to perform a query on the database.
The num_rows() function can be used to check if there are more than zero rows returned. Then, the fetch_assoc() function can be used to fetch the result set as an associative array. Later on the free_result() function can be used to free the memory associated with the result.
Select by pattern - Object-oriented style
Consider a database containing a table called Employee with the following records:
EmpID | Name | City | Age | Salary |
---|---|---|---|---|
1 | John | London | 25 | 3000 |
2 | Marry | New York | 24 | 2750 |
3 | Jo | Paris | 27 | 2800 |
4 | Kim | Amsterdam | 30 | 3100 |
5 | Ramesh | New Delhi | 28 | 3000 |
6 | Huang | Beijing | 28 | 2800 |
The example below demonstrates how to use the LIKE clause to select records of Employee table where City starts with "New" using object-oriented style.
<?php $servername = "localhost"; $username = "username"; $password = "password"; $dbname = "myDatabase"; //establishing connection $mysqli = new mysqli($servername, $username, $password, $dbname); //checking connection if ($mysqli->connect_errno) { echo "Failed to connect to MySQL: ". $mysqli->connect_error; exit(); } //getting query result from the database $sql = 'SELECT Name, Age, City FROM Employee WHERE City LIKE "New%";'; $result = $mysqli->query($sql); //fetching associative array while ($row = $result->fetch_assoc()) { printf("%s, %d, %s\n", $row["Name"], $row["Age"], $row["City"]); } //free result set $result->free_result(); //closing the connection $mysqli->close(); ?>
The output of the above code will be:
Marry, 24, New York Ramesh, 28, New Delhi
Select by pattern - Procedural style
To obtain the same result using procedural style, the following script can be used.
<?php $servername = "localhost"; $username = "username"; $password = "password"; $dbname = "myDatabase"; //establishing connection $mysqli = mysqli_connect($servername, $username, $password, $dbname); //checking connection if (mysqli_connect_errno()) { echo "Failed to connect to MySQL: ". mysqli_connect_error(); exit(); } //getting query result from the database $sql = 'SELECT Name, Age, City FROM Employee WHERE City LIKE "New%";'; $result = mysqli_query($mysqli, $sql); //fetching associative array while ($row = mysqli_fetch_assoc($result)) { printf("%s, %d, %s\n", $row["Name"], $row["Age"], $row["City"]); } //free result set mysqli_free_result($result); //closing the connection mysqli_close($mysqli); ?>
The output of the above code will be:
Marry, 24, New York Ramesh, 28, New Delhi
Complete MySQLi Reference
For a complete reference of all properties, methods and functions of PHP MySQLi extension, see MySQLi Reference.