We have seen the SQL SELECT command to fetch data from the MySQL table. We can also use a conditional clause called as the WHERE clause to select the required records.
A WHERE clause with the ‘equal to’ sign (=) works fine where we want to do an exact match. Like if “tutorial_author = ‘Sanjay'”. But there may be a requirement where we want to filter out all the results where tutorial_author name should contain “jay”. This can be handled using SQL LIKE Clause along with the WHERE clause.
If the SQL LIKE clause is used along with the % character, then it will work like a meta character (*) as in UNIX, while listing out all the files or directories at the command prompt. Without a % character, the LIKE clause is very same as the equal to sign along with the WHERE clause.
Syntax
The following code block has a generic SQL syntax of the SELECT command along with the LIKE clause to fetch data from a MySQL table.
SELECT field1, field2,...fieldN table_name1, table_name2... WHERE field1 LIKE condition1 [AND [OR]] filed2 = 'somevalue'
- You can specify any condition using the WHERE clause.
- You can use the LIKE clause along with the WHERE clause.
- You can use the LIKE clause in place of the equals to sign.
- When LIKE is used along with % sign then it will work like a meta character search.
- You can specify more than one condition using AND or OR operators.
- A WHERE…LIKE clause can be used along with DELETE or UPDATE SQL command also to specify a condition.
Using the LIKE clause at the Command Prompt
This will use the SQL SELECT command with the WHERE…LIKE clause to fetch the selected data from the MySQL table – tutorials_tbl.
Example
The following example will return all the records from the tutorials_tbl table for which the author name ends with jay −
root@host# mysql -u root -p password; Enter password:******* mysql> use TUTORIALS; Database changed mysql> SELECT * from tutorials_tbl -> WHERE tutorial_author LIKE '%jay'; +-------------+----------------+-----------------+-----------------+ | tutorial_id | tutorial_title | tutorial_author | submission_date | +-------------+----------------+-----------------+-----------------+ | 3 | JAVA Tutorial | Sanjay | 2007-05-21 | +-------------+----------------+-----------------+-----------------+ 1 rows in set (0.01 sec) mysql>
Using LIKE clause inside PHP Script
PHP uses mysqli query() or mysql_query() function to select records in a MySQL table using Like clause. This function takes two parameters and returns TRUE on success or FALSE on failure.
Syntax
$mysqli->query($sql,$resultmode)
Sr.No. | Parameter & Description |
---|---|
1 | $sqlRequired – SQL query to select records in a MySQL table using Like Clause. |
2 | $resultmodeOptional – Either the constant MYSQLI_USE_RESULT or MYSQLI_STORE_RESULT depending on the desired behavior. By default, MYSQLI_STORE_RESULT is used. |
Example
Try the following example to select a record using like clause in a table −
Copy and paste the following example as mysql_example.php −
<html> <head> <title>Using Like Clause</title> </head> <body> <?php $dbhost = 'localhost'; $dbuser = 'root'; $dbpass = 'root@123'; $dbname = 'TUTORIALS'; $mysqli = new mysqli($dbhost, $dbuser, $dbpass, $dbname); if($mysqli->connect_errno ) { printf("Connect failed: %s<br />", $mysqli->connect_error); exit(); } printf('Connected successfully.<br />'); $sql = 'SELECT tutorial_id, tutorial_title, tutorial_author, submission_date FROM tutorials_tbl where tutorial_author like "Mah%"'; $result = $mysqli->query($sql); if ($result->num_rows > 0) { while($row = $result->fetch_assoc()) { printf("Id: %s, Title: %s, Author: %s, Date: %d <br />", $row["tutorial_id"], $row["tutorial_title"], $row["tutorial_author"], $row["submission_date"]); } } else { printf('No record found.<br />'); } mysqli_free_result($result); $mysqli->close(); ?> </body> </html>
Output
Access the mysql_example.php deployed on apache web server and verify the output. Here we’ve entered multiple records in the table before running the select script.
Connected successfully. Id: 1, Title: MySQL Tutorial, Author: Mahesh, Date: 2021 Id: 2, Title: HTML Tutorial, Author: Mahesh, Date: 2021 Id: 3, Title: PHP Tutorial, Author: Mahesh, Date: 2021