Unveiling the Secrets of CAST and CONVERT: A Comprehensive Guide for SQL Server Data Types

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Understanding Data Type Conversions:

  • In SQL Server, different data types hold information in specific formats (e.g., numbers, text, dates).
  • Sometimes, you need to convert data from one type to another to perform calculations, comparisons, or store it differently.
  • CAST and CONVERT are commonly used functions for this purpose.


  • Both functions achieve data type conversion.
  • They accept the value to be converted and the target data type as arguments.
  • They generally follow the same rules for implicit (automatic) and explicit (using the function) conversions.


SyntaxCAST(expression AS data_type)CONVERT(data_type(length), expression, style)
StandardANSI-SQL standardSQL Server-specific
FormattingNo support for formattingOptional style parameter for formatting dates/times
FlexibilityLess flexible; limited to direct type conversionMore flexible; allows data formatting and specific behavior
PortabilityMore portable across different SQL databasesLess portable, might not work in other systems
ExamplesCAST('123' AS INT)CONVERT(DATE, '2024-02-10', 109) (US date format)

When to Use Which:

  • Portable code and simple conversions: Use CAST for its wider support and conciseness.
  • Specific formatting and complex conversions: Use CONVERT for its flexibility in handling dates, times, and numeric styles.

Related Issues and Solutions:

  • Data Loss During Conversion: Be mindful of potential data loss when converting numbers with different precisions or sizes. Choose the target type carefully.
  • Implicit vs. Explicit Conversions: Be aware of implicit conversions that might occur automatically, potentially leading to unexpected results. Use CAST or CONVERT explicitly to control the conversion process.
  • Errors and Handling: Check for conversion errors using TRY...CATCH blocks or error-handling mechanisms to ensure data integrity.

Example Using Both Functions:

-- Convert string to integer with formatting (CONVERT)
DECLARE @str N'123,456.78';
SELECT CONVERT(INT, REPLACE(@str, ',', ''), 120) AS formatted_int; -- US numeric format

-- Convert integer to string with implicit conversion (CAST)
DECLARE @num INT = 255;
SELECT CAST(@num AS NVARCHAR(50)) AS string_num;

Remember that choosing the right function depends on your specific needs and coding environment. By understanding the key differences and considerations, you can make informed decisions for effective data type conversions in your T-SQL queries.