# Education is not limited to just classrooms. It can be gained anytime, anywhere... - Ravi Ranjan (M.Tech-NIT)

The SQL LIKE clause is used to compare a value to similar values using wildcard operators. There are two wildcards used in conjunction with the LIKE operator.

• The percent sign (%)
• The underscore (_)

The percent sign represents zero, one or multiple characters. The underscore represents a single number or character. These symbols can be used in combinations.

## Syntax

The basic syntax of % and _ is as follows −

```SELECT FROM table_name
WHERE column LIKE 'XXXX%'

or

SELECT FROM table_name
WHERE column LIKE '%XXXX%'

or

SELECT FROM table_name
WHERE column LIKE 'XXXX_'

or

SELECT FROM table_name
WHERE column LIKE '_XXXX'

or

SELECT FROM table_name
WHERE column LIKE '_XXXX_'
```

You can combine N number of conditions using AND or OR operators. Here, XXXX could be any numeric or string value.

## Example

The following table has a few examples showing the WHERE part having different LIKE clause with '%' and '_' operators −

Sr.No. Statement & Description
1

WHERE SALARY LIKE '200%'

2

WHERE SALARY LIKE '%200%'

Finds any values that have 200 in any position.

3

WHERE SALARY LIKE '_00%'

Finds any values that have 00 in the second and third positions.

4

WHERE SALARY LIKE '2_%_%'

Finds any values that start with 2 and are at least 3 characters in length.

5

WHERE SALARY LIKE '%2'

Finds any values that end with 2.

6

WHERE SALARY LIKE '_2%3'

Finds any values that have a 2 in the second position and end with a 3.

7

WHERE SALARY LIKE '2___3'

Finds any values in a five-digit number that start with 2 and end with 3.

Let us take a real example, consider the CUSTOMERS table having the records as shown below.

```+----+----------+-----+-----------+----------+
| ID | NAME     | AGE | ADDRESS   | SALARY   |
+----+----------+-----+-----------+----------+
|  1 | Ramesh   |  32 | Ahmedabad |  2000.00 |
|  2 | Khilan   |  25 | Delhi     |  1500.00 |
|  3 | kaushik  |  23 | Kota      |  2000.00 |
|  4 | Chaitali |  25 | Mumbai    |  6500.00 |
|  5 | Hardik   |  27 | Bhopal    |  8500.00 |
|  6 | Komal    |  22 | MP        |  4500.00 |
|  7 | Muffy    |  24 | Indore    | 10000.00 |
+----+----------+-----+-----------+----------+
```

Following is an example, which would display all the records from the CUSTOMERS table, where the SALARY starts with 200.

```SQL> SELECT * FROM CUSTOMERS
WHERE SALARY LIKE '200%';```

This would produce the following result −

```+----+----------+-----+-----------+----------+
| ID | NAME     | AGE | ADDRESS   | SALARY   |
+----+----------+-----+-----------+----------+
|  1 | Ramesh   |  32 | Ahmedabad |  2000.00 |
|  3 | kaushik  |  23 | Kota      |  2000.00 |
+----+----------+-----+-----------+----------+```