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SQL provides various conversion functions to convert data from one type to another. These functions can be essential when you're dealing with data from various sources, or when you need to transform data types for specific operations.
The exact functions available and their behavior can vary between different relational database management systems (RDBMS), but here are some general and commonly used conversion functions:
The CAST
function is a standard SQL function used to convert one data type to another.
Syntax:
CAST(expression AS datatype)
Example:
SELECT CAST(salary AS CHAR(10)) FROM employees;
CONVERT
is another function used for type conversion, and it's often associated with SQL Server.
Syntax:
CONVERT(data_type(length), expression, style)
The style
parameter is optional and used for formatted conversions, such as date formats.
Example:
-- SQL Server specific example for date conversion SELECT CONVERT(CHAR(10), GETDATE(), 103) AS 'Date';
Different databases might have their specific functions for common conversions:
TO_DATE: Converts a string to a date.
SELECT TO_DATE('2021-01-01', 'YYYY-MM-DD') FROM dual;
TO_NUMBER: Converts a string to a number.
SELECT TO_NUMBER('1234.56') FROM dual;
TO_CHAR: Converts a date or number to a string.
SELECT TO_CHAR(SYSDATE, 'YYYY-MM-DD') FROM dual;
SELECT STR(25.65, 10, 2);
::
operator.SELECT '123'::integer; SELECT current_date::varchar;
Be Careful with Conversions: While converting between data types, there's a possibility of data loss, especially when converting from a larger type (like FLOAT
) to a smaller one (like INT
), or when converting between incompatible types.
Check Destination Type Capacity: Make sure that the destination data type can accommodate the data. For example, converting a long string into a CHAR(5)
will truncate the string.
Dates and Time Zones: When dealing with date and time conversions, always be aware of the time zones and date formats to avoid misinterpretations.
RDBMS Differences: Always refer to your RDBMS documentation when working with conversion functions, as there can be nuances in function names, behaviors, and supported data types.
Performance: Frequent or unnecessary conversions might have an impact on query performance. Avoid them when possible, and ensure data is stored in the most appropriate format from the outset.
How to Use CAST and CONVERT Functions in SQL:
SELECT column1, CAST(column2 AS VARCHAR(50)) AS converted_result FROM your_table;
SELECT column1, CONVERT(VARCHAR(50), column2) AS converted_result FROM your_table;
Using TO_DATE Function in SQL:
SELECT TO_DATE('2023-01-01', 'YYYY-MM-DD') AS converted_date FROM dual;
SQL TO_NUMBER Function Usage:
SELECT TO_NUMBER('12345.67', '99999.99') AS converted_number FROM dual;
TO_CHAR Function in SQL for Date Formatting:
SELECT TO_CHAR(SYSDATE, 'YYYY-MM-DD HH24:MI:SS') AS formatted_date FROM dual;
CONVERTING Function in SQL with Examples:
SELECT CONVERT(VARCHAR, GETDATE(), 120) AS formatted_date;
Implicit and Explicit Data Type Conversion in SQL:
SELECT CAST(column1 AS INT) + 10 AS result FROM your_table;
SQL Conversion Functions for String to Date:
SELECT column1, CAST(column2 AS DATE) AS converted_date FROM your_table;
Handling NULL Values in SQL Conversion Functions:
SELECT COALESCE(CAST(column1 AS INT), 0) AS result FROM your_table;
SQL Conversion Functions for Numeric to String:
SELECT column1, CAST(column2 AS VARCHAR(50)) AS converted_string FROM your_table;
Using FORMAT Function in SQL:
SELECT column1, FORMAT(column2, 'C') AS formatted_currency FROM your_table;
SQL Conversion Functions in SELECT Statement:
SELECT column1, CAST(column2 AS DECIMAL(10, 2)) AS converted_result FROM your_table;