Go Parameter Validation: Errors or Panics – When to Use Which?
Parameter Validation in Go: Exploring Errors vs Panics
The question of parameter validation in Go can be a source of confusion and debate. This article aims to shed light on the appropriate use of errors and panics in parameter validation through an insightful discussion.
When to Use Errors
Returning errors is a suitable approach when a function encounters unexpected conditions or encounters problems with executing its intended tasks. This includes issues such as:
- File opening failures
- Invalid input range violations
- Resource allocation problems
When to Use Panics
Panics are typically used to handle programming errors, such as:
- Passing a nil pointer
- Violating invariants or preconditions
Panics cause the execution of the function to abruptly terminate and should only be used for errors that indicate a problem in the program's logic or a violation of its internal rules.
The Impact of Ignoring Errors
While using errors for parameter validation may feel "C-ish," it is important to note that ignoring error codes can lead to unintended consequences. If a function returns an error and it is subsequently ignored, it means the program will continue execution despite the fact that it knows there is a problem. This can lead to unexpected or incorrect behavior.
Alternatives to Errors
Some may suggest adopting a more lenient approach, allowing the program to "just let it fail." However, this is not generally considered best practice in Go. Maintaining a clear distinction between errors that should be handled explicitly (by returning an error code) and programming errors (that should trigger a panic) helps maintain the integrity and reliability of the codebase.
Conclusion
In summary, using errors for parameter validation is generally preferred over panics when dealing with unexpected conditions or issues during task execution. Panics are more suitable for handling programming errors that indicate a problem with the code's logic. By understanding the appropriate use of errors and panics, developers can write code that is both robust and easy to debug.
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