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EXEC(@SQL) vs. EXEC sp_executesql: Which Dynamic SQL Execution Method Should You Choose?

Patricia Arquette
Patricia ArquetteOriginal
2025-01-10 06:34:41746browse

EXEC(@SQL) vs. EXEC sp_executesql: Which Dynamic SQL Execution Method Should You Choose?

SQL Server Dynamic SQL: EXEC(@SQL) vs. EXEC sp_executesql

SQL Server offers two primary methods for executing dynamic SQL within stored procedures: EXEC(@SQL) and EXEC sp_executesql. Choosing between them requires understanding their key differences.

EXEC(@SQL) directly executes a dynamically constructed SQL string. In contrast, EXEC sp_executesql is a built-in stored procedure designed specifically for dynamic SQL execution, offering advantages like parameterization and plan caching.

EXEC sp_executesql Advantages:

  • Query Plan Caching: sp_executesql leverages parameterization, enabling SQL Server to cache query plans. This significantly boosts performance for repeated executions with varying parameters.
  • Improved Error Handling: Provides more granular error information, including error codes and line numbers, simplifying debugging.
  • Execution Mode Control: Offers control over execution modes (e.g., text, prepare, recompile), allowing fine-tuned query optimization.

EXEC(@SQL) Advantages:

  • Simplicity: Offers a more compact syntax, avoiding the overhead of calling a separate stored procedure.

Key Considerations:

  • Execution Timing: EXEC(@SQL) executes immediately; sp_executesql allows for pre-execution processing and parameter validation.
  • Performance: EXEC(@SQL) can suffer performance penalties due to repeated compilation if executed frequently with different parameters.
  • Security: Both methods necessitate rigorous input validation to prevent SQL injection vulnerabilities.

Generally, EXEC sp_executesql is recommended for dynamic SQL benefiting from plan caching, robust error handling, and execution mode control. EXEC(@SQL) might be preferable when brevity and immediate execution are paramount. The optimal choice depends on the specific application's needs and priorities.

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