When a system retrieves a previously stored execution strategy (often for performance optimization), the data structure returned by that strategy must remain consistent. For instance, a database query might be optimized and its execution plan saved. Subsequent executions using this saved plan should yield results in the same format as the initial query. Changing the output format would break any system relying on the expected structure, potentially leading to errors or unexpected behavior.
Maintaining consistency in output structure offers significant advantages, including predictability, enhanced system stability, and easier integration with other components. Predictability ensures developers can rely on the system’s behavior. This stability reduces debugging efforts and maintenance costs. Consistent structure simplifies integration as consuming components can operate without needing to adapt to changing data formats. Historically, the need for such consistency arose as systems grew in complexity and caching mechanisms became essential for performance. Early caching implementations often lacked robust type checking, leading to issues that emphasized the need for strict adherence to output structure.
