Skip to main content

Data Type Conversion - SQL Server

 In SQL Server, data type conversion allows us to change the data type of a value from one data type to another. Data type conversion can be implicit or explicit, depending on whether the conversion is performed automatically or explicitly by the user. In this blog, we will discuss data type conversion in SQL Server with examples.

Implicit Data Type Conversion

Implicit data type conversion is the automatic conversion of data from one data type to another. SQL Server automatically converts data when it is required, such as during arithmetic operations. Here is an example of implicit data type conversion:

DECLARE @x int = 5

DECLARE @y float = 3.14

DECLARE @result float

SET @result = @x + @y

SELECT @result

In this example, we have declared two variables, @x as an integer and @y as a float. We then add the values of @x and @y and store the result in @result, which is also a float. Since the data types of @x and @y are different, SQL Server implicitly converts the value of @x to a float before performing the addition. The output of this query will be 8.14.

Explicit Data Type Conversion

Explicit data type conversion is the conversion of data from one data type to another using conversion functions. SQL Server provides a number of built-in conversion functions, including CAST and CONVERT. Here is an example of explicit data type conversion using the CAST function:

DECLARE @x varchar(10) = '123'

DECLARE @y int

SET @y = CAST(@x AS int)

SELECT @y

In this example, we have declared a variable @x as a varchar and set its value to '123'. We then convert the value of @x to an integer using the CAST function and store the result in @y. The output of this query will be 123.

Another example of explicit data type conversion using the CONVERT function:

DECLARE @x datetime = '2022-03-21 12:34:56'

DECLARE @y varchar(20)

SET @y = CONVERT(varchar(20), @x, 120)

SELECT @y

In this example, we have declared a variable @x as a datetime and set its value to '2022-03-21 12:34:56'. We then convert the value of @x to a varchar using the CONVERT function and store the result in @y. The third argument of the CONVERT function, 120, specifies the format of the output. The output of this query will be '2022-03-21 12:34:56'.

Conclusion

In SQL Server, data type conversion allows us to change the data type of a value from one data type to another. Data type conversion can be implicit or explicit, depending on whether the conversion is performed automatically or explicitly by the user. By using the appropriate conversion functions, we can ensure that our SQL Server queries and procedures are accurate, efficient, and reliable.

Comments

Popular posts from this blog

Data type precedence - SQL Server

       In SQL Server, data type precedence determines which data type takes precedence over others when two or more data types are combined or compared. It is important to understand data type precedence to ensure that the correct data type is used and that data is not lost or truncated during operations. In this blog, we will discuss data type precedence in SQL Server with examples. Data type precedence levels SQL Server has 16 data type precedence levels, with the highest level being 1 and the lowest level being 16. The data type with the lowest precedence is considered to be the "weakest" data type and is most likely to be converted to a higher precedence data type during operations. Here is the list of data types in SQL Server, ordered by their precedence levels: user-defined data types (highest precedence) sql_variant xml datetimeoffset datetime2 datetime smalldatetime date time float real decimal/numeric money/smallmoney bigint/i...

Synonyms, Trigger & Sequences - SQL Server

  Synonyms In SQL Server, a synonym is an alternative name for a database object, such as a table, view, stored procedure, or function. Synonyms can be useful for simplifying complex object names, abstracting the underlying object structure, or providing a layer of indirection between objects and their callers. Creating a synonym in SQL Server is straightforward. Here's an example:               CREATE SYNONYM MyTable FOR AdventureWorks2019 . dbo . MyTable ; In this example, we're creating a synonym called MyTable that points to a table called MyTable in the AdventureWorks2019 database. Now, instead of referring to the table as AdventureWorks2019.dbo.MyTable, we can simply use the synonym name MyTable. To modify a synonym in SQL Server, you can use the ALTER SYNONYM statement. Here's an example:               ALTER SYNONYM MyTable RENA...

Table Data Type- SQL Server

       In SQL Server, the table data type is a structured data type that allows you to define a table as a variable. It can be useful in scenarios where you need to store data temporarily or pass data between stored procedures or functions. In this blog, we will explore the table data type in SQL Server and provide an example of how it can be used. Introduction to the table data type The table data type is a structured data type that allows you to define a table as a variable. It can be used to store data temporarily or pass data between stored procedures or functions. The table variable behaves like a regular table in SQL Server, but it is stored in memory rather than on disk. Creating a table variable in SQL Server To create a table variable in SQL Server, you need to declare the variable and define the table structure. The following code demonstrates how to declare a table variable and define the table structure: DECLARE @MyTable TABLE (   ...