Best Practices for Multiple Returns in Go
Designing Clean and Efficient Functions
1. Consistent Return Signatures
// Good: Clear and predictable return pattern
func processData(input string) (Result, error) {
if input == "" {
return Result{}, errors.New("empty input")
}
// Processing logic
return result, nil
}
// Avoid: Inconsistent or confusing returns
func badDesign(input string) (Result, error, bool) {
// Unclear purpose and multiple return types
}
Error Handling Recommendations
2. Explicit Error Checking
func fetchUserData(userID string) (*User, error) {
// Prefer explicit error handling
user, err := database.FindUser(userID)
if err != nil {
return nil, fmt.Errorf("user fetch failed: %w", err)
}
return user, nil
}
Return Value Patterns
Pattern |
Description |
Recommendation |
Value, Error |
Standard error handling |
Preferred for most cases |
Multiple Values |
Complex computations |
Use sparingly, keep clear |
Named Returns |
Self-documenting |
Good for complex functions |
Avoiding Common Mistakes
3. Proper Use of Blank Identifier
// Good: Intentionally ignore specific returns
result, _, err := complexOperation()
if err != nil {
return err
}
// Avoid: Suppressing important information
_, _, _ = unexpectedMultipleReturns()
Function Design Principles
flowchart TD
A[Function Design] --> B{Return Signature}
B --> C[Clear Purpose]
B --> D[Minimal Returns]
B --> E[Consistent Patterns]
C --> F[Easy to Understand]
D --> F
E --> F
4. Limit Number of Returns
// Preferred: Focused, clear returns
func calculateStats(data []int) (total int, average float64) {
total = sum(data)
average = float64(total) / float64(len(data))
return
}
// Avoid: Excessive, complex returns
func overcomplicatedFunction() (int, string, []byte, error, bool) {
// Too many return values reduce readability
}
5. Minimize Allocation
// Efficient: Reuse return values
func processBuffer(data []byte) (result []byte, err error) {
result = make([]byte, len(data))
// Minimize memory allocation
copy(result, data)
return
}
Error Wrapping and Context
6. Provide Meaningful Error Context
func validateUser(user *User) error {
if user == nil {
return fmt.Errorf("validation failed: %w", ErrNilUser)
}
if !user.isValid() {
return fmt.Errorf("invalid user: %s", user.ID)
}
return nil
}
Testing Multiple Returns
7. Comprehensive Test Coverage
func TestMultipleReturns(t *testing.T) {
// Test successful case
result, err := functionUnderTest()
assert.NoError(t, err)
assert.NotNil(t, result)
// Test error scenarios
result, err = functionWithErrors()
assert.Error(t, err)
assert.Nil(t, result)
}
Advanced Techniques
8. Functional Options Pattern
type Option func(*Config)
func WithTimeout(d time.Duration) Option {
return func(c *Config) {
c.Timeout = d
}
}
func NewService(opts ...Option) (*Service, error) {
config := defaultConfig()
for _, opt := range opts {
opt(config)
}
return &Service{config: config}, nil
}
Final Recommendations
- Keep return signatures simple and clear
- Always handle potential errors
- Use named returns for complex functions
- Minimize the number of return values
- Provide meaningful error context
Developers using LabEx can leverage these best practices to write more robust and maintainable Go code with effective multiple return handling.