SQL data type conversion is used to convert a value from one data type to another. It helps ensure that data is compatible with SQL operations and produces the required results.
- Converts values between data types such as numeric, character and date types.
- Helps perform operations on compatible data types.
- Allows values to be displayed or processed in the required format.
Types of Data Type Conversion
There are two main types of data type conversion in SQL:
- Implicit Data Type Conversion: The database automatically converts a value from one data type to another when compatible types are used.
- Explicit Data Type Conversion: The user explicitly converts a value from one data type to another using a conversion function or operator.
Implicit Data Type Conversion
Implicit conversion occurs automatically when the database can convert compatible data types without requiring the user to specify a conversion.
For example, when compatible numeric values are used in an SQL expression, the database may automatically convert them to a suitable type.
Note: Implicit conversion rules can vary between SQL database systems.
Consider the following query:
SELECT 10 + 5.5 AS result;Output:

Explicit Data Type Conversion
Explicit conversion is performed manually when a specific data type is required. The commonly used SQL syntax is CAST().
CAST() Function
The CAST() function converts an expression from one data type to another.
Syntax:
CAST(expression AS data_type)Where:
- expression: The value or column to be converted.
- data_type: The target data type.
Example 1: Convert String to Integer
SELECT CAST('15000' AS INTEGER) AS salary;Output:
- The string value is explicitly converted into an integer.
Example 2: Convert Integer to Character
SELECT CAST(15000 AS VARCHAR(20)) AS salary;Output:
- The integer value is explicitly converted into a character value.
Example 3: Convert String to Date
SELECT CAST('2026-09-29' AS DATE) AS joining_date;Output:
- The string value is explicitly converted into a date.