Practical Validation Patterns
Practical validation patterns provide systematic approaches to ensuring data integrity and security in Java applications.
1. Validation Chain Pattern
public class ValidationChain {
public interface Validator {
boolean validate(String input);
}
public class LengthValidator implements Validator {
public boolean validate(String input) {
return input != null && input.length() >= 3 && input.length() <= 50;
}
}
public class FormatValidator implements Validator {
public boolean validate(String input) {
return input.matches("^[A-Za-z0-9]+$");
}
}
public boolean validateInput(String input, Validator... validators) {
for (Validator validator : validators) {
if (!validator.validate(input)) {
return false;
}
}
return true;
}
}
2. Validation Strategy Classification
graph TD
A[Validation Strategies] --> B[Structural Validation]
A --> C[Semantic Validation]
A --> D[Security Validation]
B --> E[Format Checking]
B --> F[Length Validation]
C --> G[Business Rule Validation]
D --> H[Sanitization]
D --> I[Injection Prevention]
3. Common Validation Patterns
Pattern |
Description |
Key Characteristics |
Fail-Fast |
Immediate validation rejection |
Quick error detection |
Comprehensive |
Multiple validation layers |
Thorough input checking |
Adaptive |
Dynamic validation rules |
Flexible validation |
4. Advanced Validation Framework
public class ValidationFramework {
public static class ValidationResult {
private boolean valid;
private List<String> errors;
public ValidationResult(boolean valid) {
this.valid = valid;
this.errors = new ArrayList<>();
}
public void addError(String error) {
errors.add(error);
}
}
public ValidationResult validate(Object input) {
ValidationResult result = new ValidationResult(true);
// Complex validation logic
if (input == null) {
result.addError("Input cannot be null");
result.valid = false;
}
return result;
}
}
public class InputSanitizer {
public static String sanitizeInput(String input) {
if (input == null) return "";
return input.replaceAll("[<>\"']", "")
.trim()
.toLowerCase();
}
public static String escapeHtml(String input) {
return input.replace("&", "&")
.replace("<", "<")
.replace(">", ">")
.replace("\"", """);
}
}
Validation Best Practices for LabEx Developers
- Implement multi-layered validation
- Create reusable validation components
- Use immutable validation rules
- Log validation failures securely
graph LR
A[Input] --> B{Lightweight Checks}
B --> |Quick| C{Structural Validation}
B --> |Fail| D[Reject]
C --> |Pass| E{Semantic Validation}
C --> |Fail| D
E --> |Pass| F{Security Validation}
E --> |Fail| D
F --> |Pass| G[Process]
F --> |Fail| D
Error Handling Strategy
- Provide clear, non-revealing error messages
- Use custom exception handling
- Implement logging for validation failures
By adopting these practical validation patterns, developers can create robust, secure, and efficient input validation mechanisms in their Java applications.