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In the previous page, we explored abstract classes—constructs that provide partial implementation. Now we turn to their philosophical opposite: interfaces.
An interface is a pure contract—a promise about capability without any implementation. When a class implements an interface, it declares: "I guarantee these behaviors exist. How I implement them is my business."
Consider a universal power outlet. The outlet specification defines:
The specification says nothing about how electricity is generated, transmitted, or regulated. A device that implements the "pluggable" interface works with any outlet—coal plant, nuclear reactor, or solar panel. The device depends only on the contract, not the implementation.
This is the essence of interfaces in software: defining what without constraining how.
By the end of this page, you will understand interfaces as pure contracts—specifications that define capability without providing implementation. You'll grasp why this separation of contract from implementation is foundational to flexible, testable, and maintainable software design.
An interface is a type that specifies a set of method signatures (and sometimes constants) without providing any implementation. It defines a behavioral contract that implementing classes must fulfill.
The Defining Characteristics (Traditional Model):
No implementation: Methods are signatures only—no method bodies
No state: Interfaces cannot have instance fields (only constants in some languages)
No constructors: Interfaces cannot be instantiated; they don't manage initialization
Multiple inheritance: A class can implement multiple interfaces simultaneously
Implicit abstraction: All methods are inherently abstract (no abstract keyword needed)
Implicit publicity: All methods are public by design—interfaces define public contracts
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// Interface definition - a pure contractpublic interface PaymentProcessor { // ═══════════════════════════════════════════════════ // METHOD SIGNATURES: What must exist (no implementation) // ═══════════════════════════════════════════════════ /** * Process a payment transaction. * @param amount The amount to charge * @param currency The currency code (e.g., "USD", "EUR") * @param paymentDetails Provider-specific payment information * @return Result of the payment processing * @throws PaymentException if processing fails */ PaymentResult processPayment( BigDecimal amount, String currency, PaymentDetails paymentDetails ) throws PaymentException; /** * Refund a previously processed payment. * @param transactionId The original transaction to refund * @param amount Amount to refund (may be partial) * @return Result of the refund operation */ RefundResult refundPayment(String transactionId, BigDecimal amount); /** * Check if the processor supports a given currency. * @param currency Currency code to check * @return true if the currency is supported */ boolean supportsCurrency(String currency); /** * Get the processor's unique identifier. * @return Processor ID (e.g., "stripe", "paypal", "square") */ String getProcessorId(); // ═══════════════════════════════════════════════════ // CONSTANTS: Compile-time values (allowed in interfaces) // ═══════════════════════════════════════════════════ // These are implicitly public static final int MAX_RETRY_ATTEMPTS = 3; Duration TIMEOUT = Duration.ofSeconds(30);}Languages differ in how they verify interface implementation. Nominal typing (Java, C#) requires explicit 'implements' declarations. Structural typing (TypeScript, Go) automatically considers a type as implementing an interface if it has the required methods. Both enforce the same contract—just with different verification mechanisms.
Interfaces embody a profound design philosophy: depend on capabilities, not implementations. This principle has far-reaching implications for software architecture.
Separation of Concerns:
By defining only what must exist, interfaces create clean boundaries between:
Neither side knows or depends on the other's internal details. They are connected only through the contract.
Substitutability:
Any implementation of an interface can replace any other implementation without the consumer knowing. This enables:
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// ═══════════════════════════════════════════════════// WITHOUT INTERFACES: Tight coupling// ═══════════════════════════════════════════════════ // This class is LOCKED to Stripepublic class CheckoutService_Coupled { // Direct dependency on concrete implementation private final StripePaymentProcessor stripeProcessor; public CheckoutService_Coupled() { // Creating the dependency internally - very rigid this.stripeProcessor = new StripePaymentProcessor( System.getenv("STRIPE_API_KEY") ); } public OrderResult checkout(Order order) { // Directly using Stripe-specific methods StripePaymentResult result = stripeProcessor.chargeStripe( order.getTotal(), order.getStripeToken() // Stripe-specific concept! ); // To switch to PayPal, we must modify this code // To test without real payments, we need the real Stripe return convertToOrderResult(result); }} // ═══════════════════════════════════════════════════// WITH INTERFACES: Loose coupling// ═══════════════════════════════════════════════════ // This class works with ANY payment processorpublic class CheckoutService_Decoupled { // Depends on interface, not implementation private final PaymentProcessor paymentProcessor; // Dependency injected - we don't choose the implementation public CheckoutService_Decoupled(PaymentProcessor paymentProcessor) { this.paymentProcessor = paymentProcessor; } public OrderResult checkout(Order order) { // Using interface methods - implementation-agnostic PaymentResult result = paymentProcessor.processPayment( order.getTotal(), order.getCurrency(), order.getPaymentDetails() // Generic concept ); // Works with Stripe, PayPal, Square, or MockPayments // Zero code changes required to switch return convertToOrderResult(result); }} // ═══════════════════════════════════════════════════// USAGE: Plug in any implementation// ═══════════════════════════════════════════════════ // Production: Use StripePaymentProcessor stripeProcessor = new StripePaymentProcessor(apiKey);CheckoutService checkout = new CheckoutService_Decoupled(stripeProcessor); // Production: Switch to PayPal (no code changes in CheckoutService!)PaymentProcessor paypalProcessor = new PayPalPaymentProcessor(credentials);CheckoutService checkout = new CheckoutService_Decoupled(paypalProcessor); // Testing: Use mock (no real money, no API calls)PaymentProcessor mockProcessor = new MockPaymentProcessor();CheckoutService checkout = new CheckoutService_Decoupled(mockProcessor);Interfaces are central to the Dependency Inversion Principle (the 'D' in SOLID): High-level modules should not depend on low-level modules; both should depend on abstractions. Interfaces ARE those abstractions. The CheckoutService (high-level) and StripePaymentProcessor (low-level) both depend on PaymentProcessor (abstraction).
Unlike class inheritance (typically single), interfaces support multiple implementation. A class can implement any number of interfaces, declaring multiple capabilities simultaneously.
This enables capability composition—building complex behaviors by combining simple, focused contracts:
Comparable: Can be compared and orderedSerializable: Can be converted to/from bytesCloseable: Has resources that need cleanupIterable: Can be traversed element by elementA single class might implement all of these, gaining capabilities without complex inheritance hierarchies.
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// ═══════════════════════════════════════════════════// FOCUSED INTERFACES: Each defines one capability// ═══════════════════════════════════════════════════ // Capability: Can generate a unique identifierpublic interface Identifiable { String getId();} // Capability: Can be serialized to JSONpublic interface JsonSerializable { String toJson(); void fromJson(String json);} // Capability: Can track when last modifiedpublic interface Auditable { Instant getCreatedAt(); Instant getUpdatedAt(); String getLastModifiedBy();} // Capability: Can be validatedpublic interface Validatable { ValidationResult validate(); boolean isValid();} // Capability: Can be versioned for optimistic lockingpublic interface Versionable { int getVersion(); void incrementVersion();} // ═══════════════════════════════════════════════════// COMPOSITION: Combine capabilities as needed// ═══════════════════════════════════════════════════ // A domain entity with all capabilitiespublic class Order implements Identifiable, JsonSerializable, Auditable, Validatable, Versionable { private String id; private List<OrderItem> items; private OrderStatus status; private Instant createdAt; private Instant updatedAt; private String lastModifiedBy; private int version; // Identifiable implementation @Override public String getId() { return this.id; } // JsonSerializable implementation @Override public String toJson() { return new ObjectMapper().writeValueAsString(this); } @Override public void fromJson(String json) { Order parsed = new ObjectMapper().readValue(json, Order.class); this.items = parsed.items; this.status = parsed.status; // ... copy other fields } // Auditable implementation @Override public Instant getCreatedAt() { return createdAt; } @Override public Instant getUpdatedAt() { return updatedAt; } @Override public String getLastModifiedBy() { return lastModifiedBy; } // Validatable implementation @Override public ValidationResult validate() { List<String> errors = new ArrayList<>(); if (items == null || items.isEmpty()) { errors.add("Order must have at least one item"); } if (items != null) { for (OrderItem item : items) { if (item.getQuantity() <= 0) { errors.add("Item quantity must be positive"); } } } return new ValidationResult(errors.isEmpty(), errors); } @Override public boolean isValid() { return validate().isValid(); } // Versionable implementation @Override public int getVersion() { return version; } @Override public void incrementVersion() { this.version++; }}The Power of Interface-Based Polymorphism:
With multiple interfaces, code can depend on exactly the capabilities it needs—nothing more:
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// Each service depends ONLY on the capability it needs // Persistence layer cares about identity and versionspublic class Repository<T extends Identifiable & Versionable> { public void save(T entity) { String id = entity.getId(); // Identifiable int version = entity.getVersion(); // Versionable // Check for concurrent modification if (existingVersion > version) { throw new OptimisticLockException(); } entity.incrementVersion(); // Versionable persistToDatabase(entity); }} // Audit system cares only about audit infopublic class AuditLogger { public void logChange(Auditable auditable, String action) { log.info( "Action: {} at {} by {}", action, auditable.getUpdatedAt(), // Auditable auditable.getLastModifiedBy() // Auditable ); }} // Serialization service cares only about JSON capabilitypublic class JsonExporter { public void export(Collection<? extends JsonSerializable> items) { for (JsonSerializable item : items) { String json = item.toJson(); // JsonSerializable writeToFile(json); } }} // Validation service requires Validatablepublic class ValidationService { public void ensureValid(Validatable validatable) { ValidationResult result = validatable.validate(); if (!result.isValid()) { throw new ValidationException(result.getErrors()); } }} // USAGE: Order works with ALL of these servicesOrder order = new Order(); repository.save(order); // Uses Identifiable + VersionableauditLogger.logChange(order); // Uses AuditablejsonExporter.export(List.of(order)); // Uses JsonSerializablevalidationService.ensureValid(order); // Uses ValidatableThe ability to implement multiple interfaces enables the Interface Segregation Principle (the 'I' in SOLID): Clients should not be forced to depend on interfaces they do not use. Instead of one large interface, create small focused ones. Clients depend only on what they need.
One of the most practical benefits of interfaces is testability. When code depends on interfaces rather than concrete implementations, you can substitute test doubles (mocks, stubs, fakes) without changing the code under test.
Why This Matters:
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// ═══════════════════════════════════════════════════// THE INTERFACE: Contract for email sending// ═══════════════════════════════════════════════════ public interface EmailService { void sendEmail(String to, String subject, String body); void sendBulkEmails(List<EmailMessage> messages); boolean isValidEmail(String email); int getDailyQuotaRemaining();} // ═══════════════════════════════════════════════════// PRODUCTION IMPLEMENTATION: Real email sending// ═══════════════════════════════════════════════════ public class SendGridEmailService implements EmailService { private final SendGridClient client; @Override public void sendEmail(String to, String subject, String body) { // Real API call to SendGrid client.send(new Email(to, subject, body)); } @Override public int getDailyQuotaRemaining() { return client.getAccount().getQuota().getRemaining(); } // ... other implementations} // ═══════════════════════════════════════════════════// THE SERVICE UNDER TEST: Uses EmailService interface// ═══════════════════════════════════════════════════ public class UserRegistrationService { private final UserRepository userRepository; private final EmailService emailService; // Interface dependency public UserRegistrationService( UserRepository userRepository, EmailService emailService ) { this.userRepository = userRepository; this.emailService = emailService; } public RegistrationResult register(RegistrationRequest request) { // Validate email if (!emailService.isValidEmail(request.getEmail())) { return RegistrationResult.failure("Invalid email"); } // Check quota if (emailService.getDailyQuotaRemaining() < 1) { return RegistrationResult.failure("Email quota exceeded"); } // Create user User user = userRepository.save(new User(request)); // Send welcome email emailService.sendEmail( user.getEmail(), "Welcome!", "Thank you for registering..." ); return RegistrationResult.success(user.getId()); }} // ═══════════════════════════════════════════════════// TEST DOUBLE: Mock implementation for testing// ═══════════════════════════════════════════════════ public class MockEmailService implements EmailService { // Track what was sent for assertions private final List<SentEmail> sentEmails = new ArrayList<>(); private boolean shouldValidateEmails = true; private int quotaRemaining = 100; @Override public void sendEmail(String to, String subject, String body) { // Don't really send - just record sentEmails.add(new SentEmail(to, subject, body)); } @Override public boolean isValidEmail(String email) { return shouldValidateEmails && email.contains("@"); } @Override public int getDailyQuotaRemaining() { return quotaRemaining; } // Test helpers public void setQuotaRemaining(int quota) { this.quotaRemaining = quota; } public void setShouldValidateEmails(boolean validate) { this.shouldValidateEmails = validate; } public List<SentEmail> getSentEmails() { return sentEmails; } public boolean wasSentTo(String email) { return sentEmails.stream() .anyMatch(e -> e.getTo().equals(email)); }} // ═══════════════════════════════════════════════════// THE TESTS: Fast, isolated, deterministic// ═══════════════════════════════════════════════════ @ExtendWith(MockitoExtension.class)public class UserRegistrationServiceTest { private MockEmailService mockEmailService; private UserRegistrationService service; @BeforeEach void setup() { mockEmailService = new MockEmailService(); service = new UserRegistrationService( new InMemoryUserRepository(), mockEmailService // Inject mock! ); } @Test void registersUserAndSendsWelcomeEmail() { // Arrange var request = new RegistrationRequest("user@example.com", "pass"); // Act var result = service.register(request); // Assert assertTrue(result.isSuccess()); assertTrue(mockEmailService.wasSentTo("user@example.com")); SentEmail welcome = mockEmailService.getSentEmails().get(0); assertEquals("Welcome!", welcome.getSubject()); } @Test void failsWhenEmailQuotaExceeded() { // Arrange mockEmailService.setQuotaRemaining(0); // Simulate exhausted quota var request = new RegistrationRequest("user@example.com", "pass"); // Act var result = service.register(request); // Assert assertFalse(result.isSuccess()); assertEquals("Email quota exceeded", result.getError()); assertTrue(mockEmailService.getSentEmails().isEmpty()); } @Test void failsWithInvalidEmail() { // Arrange var request = new RegistrationRequest("not-an-email", "pass"); // Act var result = service.register(request); // Assert assertFalse(result.isSuccess()); assertEquals("Invalid email", result.getError()); }}Stub: Returns canned responses, no logic. Fake: Has working implementation but takes shortcuts (in-memory database). Mock: Records interactions for verification. Our MockEmailService above combines fake behavior (records emails) with mock capability (allows verification). All are test doubles—substitutes for real dependencies made possible by interfaces.
Not all interfaces are created equal. Well-designed interfaces are focused, stable, and implementation-agnostic. Poorly designed interfaces leak implementation details, bundle unrelated behaviors, or change frequently.
Principles for Excellent Interface Design:
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// ════════════════════════════════════════════════════// BAD: Overly broad interface (violates ISP)// ════════════════════════════════════════════════════ public interface DataStore { // SQL operations - not all stores support SQL ResultSet executeSql(String query); void beginTransaction(); void commit(); void rollback(); // Key-value operations - different concern String get(String key); void put(String key, String value); void delete(String key); // Document operations - another concern Document findDocument(Query query); void insertDocument(Document doc); // Full-text search - yet another concern SearchResults search(String text); void indexDocument(Document doc); // Caching - completely different concern! void setTtl(String key, Duration ttl); void evict(String key);} // Problem: A Redis implementation doesn't support SQL.// A PostgreSQL implementation doesn't do full-text search natively.// Implementations must throw UnsupportedOperationException.// Clients don't know which methods are actually available. // ════════════════════════════════════════════════════// GOOD: Focused interfaces (follows ISP)// ════════════════════════════════════════════════════ // Core key-value capabilitypublic interface KeyValueStore { String get(String key); void put(String key, String value); void delete(String key); boolean exists(String key);} // Transaction capability (optional)public interface Transactional { void beginTransaction(); void commit(); void rollback();} // SQL capability (optional)public interface SqlCapable { ResultSet executeSql(String sql); PreparedStatement prepare(String sql);} // Document capabilitypublic interface DocumentStore { Document find(Query query); void insert(Document doc); void update(String id, Document doc);} // Search capabilitypublic interface Searchable { SearchResults search(String query); void index(String id, String content);} // Cache capabilitypublic interface CacheableStore extends KeyValueStore { void setTtl(String key, Duration ttl); void evict(String key); Optional<Duration> getTtl(String key);} // ════════════════════════════════════════════════════// IMPLEMENTATIONS: Declare exactly what they support// ════════════════════════════════════════════════════ // Redis: Key-value + caching, no SQLpublic class RedisStore implements CacheableStore { // Only implements what Redis actually supports} // PostgreSQL: SQL + transactionspublic class PostgresStore implements SqlCapable, Transactional { // Implements what PostgreSQL supports} // Elasticsearch: Documents + searchpublic class ElasticsearchStore implements DocumentStore, Searchable { // Implements what Elasticsearch supports} // MongoDB: Documents + key-value style accesspublic class MongoStore implements DocumentStore, KeyValueStore { // Implements MongoDB's capabilities} // ════════════════════════════════════════════════════// USAGE: Depend on exactly what you need// ════════════════════════════════════════════════════ // This service needs only key-value - works with Redis, Mongo, etc.public class SessionStore { private final KeyValueStore store; public void saveSession(String sessionId, String data) { store.put(sessionId, data); }} // This service needs SQL - works with Postgres, MySQL, etc.public class ReportGenerator { private final SqlCapable database; public Report generate(String query) { ResultSet rs = database.executeSql(query); // ... process results }} // This service needs transactionspublic class OrderProcessor { private final Transactional transactionalStore; public void processOrder(Order order) { transactionalStore.beginTransaction(); try { // ... make changes transactionalStore.commit(); } catch (Exception e) { transactionalStore.rollback(); throw e; } }}Avoid 'interface pollution'—creating interfaces for everything. Interfaces add a layer of abstraction that has a cognitive cost. Create interfaces when you: (1) need multiple implementations, (2) need testability via substitution, or (3) are designing a module boundary. If there's only ever one implementation and tests don't need mocking, a concrete class may be simpler.
At an architectural level, interfaces define boundaries between components, layers, and services. They are the formal contracts that allow large systems to be built by independent teams, evolved incrementally, and tested in isolation.
Common Architectural Uses:
| Boundary | Interface Role | Example |
|---|---|---|
| Layer Boundaries | Define contracts between layers (presentation, business, data) | UserRepository interface between service and data layer |
| Plugin Systems | Allow third-party extensions without core changes | PaymentGateway interface for payment providers |
| Service Contracts | Define what a service offers to its consumers | NotificationService interface for downstream systems |
| External Adapters | Abstract external systems behind consistent interfaces | StorageProvider for S3, GCS, Azure Blob, local file |
| Strategy Selection | Enable runtime algorithm selection | CompressionStrategy for gzip, lz4, zstd algorithms |
| Cross-Cutting Concerns | Standardize behaviors like logging, caching, metrics | MetricsCollector, Logger interfaces |
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// ═══════════════════════════════════════════════════// LAYER BOUNDARIES: Clean separation via interfaces// ═══════════════════════════════════════════════════ // Domain Layer - pure business logic, no infrastructurepackage com.app.domain; public interface OrderRepository { Order findById(OrderId id); void save(Order order); List<Order> findByCustomer(CustomerId customerId);} public class OrderService { private final OrderRepository repository; // Interface dependency public void submitOrder(Order order) { order.validate(); order.submit(); repository.save(order); // Domain knows nothing about JPA/SQL }} // Infrastructure Layer - implements domain interfacespackage com.app.infrastructure.persistence; public class JpaOrderRepository implements OrderRepository { private final EntityManager em; @Override public Order findById(OrderId id) { return em.find(OrderEntity.class, id.getValue()) .toDomain(); // Convert JPA entity to domain object } @Override public void save(Order order) { OrderEntity entity = OrderEntity.fromDomain(order); em.persist(entity); }} // ═══════════════════════════════════════════════════// EXTERNAL ADAPTERS: Abstract external dependencies// ═══════════════════════════════════════════════════ // Abstract storage interfacepublic interface FileStorage { String upload(String path, byte[] content, ContentType type); byte[] download(String path); void delete(String path); boolean exists(String path); String getPublicUrl(String path);} // AWS S3 implementationpublic class S3FileStorage implements FileStorage { private final S3Client s3; private final String bucket; @Override public String upload(String path, byte[] content, ContentType type) { s3.putObject( PutObjectRequest.builder() .bucket(bucket) .key(path) .contentType(type.getMimeType()) .build(), RequestBody.fromBytes(content) ); return path; } // ... other implementations} // Google Cloud Storage implementationpublic class GcsFileStorage implements FileStorage { private final Storage storage; private final String bucket; @Override public String upload(String path, byte[] content, ContentType type) { BlobId blobId = BlobId.of(bucket, path); BlobInfo blobInfo = BlobInfo.newBuilder(blobId) .setContentType(type.getMimeType()) .build(); storage.create(blobInfo, content); return path; } // ... other implementations} // Local filesystem for development/testingpublic class LocalFileStorage implements FileStorage { private final Path basePath; @Override public String upload(String path, byte[] content, ContentType type) { Path fullPath = basePath.resolve(path); Files.createDirectories(fullPath.getParent()); Files.write(fullPath, content); return path; } // ... other implementations} // ═══════════════════════════════════════════════════// USAGE: Application code uses interfaces// ═══════════════════════════════════════════════════ // Service layer - doesn't know or care which storage is usedpublic class DocumentService { private final FileStorage storage; public DocumentService(FileStorage storage) { this.storage = storage; } public Document upload(MultipartFile file) { String path = generatePath(file.getName()); storage.upload(path, file.getBytes(), file.getContentType()); return new Document(path, storage.getPublicUrl(path)); }} // Configuration - chooses implementation based on environment@Configurationpublic class StorageConfig { @Bean @Profile("production") public FileStorage productionStorage() { return new S3FileStorage(S3Client.create(), "prod-bucket"); } @Bean @Profile("staging") public FileStorage stagingStorage() { return new GcsFileStorage(StorageOptions.getDefaultInstance().getService(), "staging-bucket"); } @Bean @Profile("local") public FileStorage localStorage() { return new LocalFileStorage(Paths.get("./uploads")); }}This pattern—where domain code depends on interfaces and infrastructure implements them—is central to Hexagonal (Ports and Adapters) Architecture. The interfaces are 'ports' (what the domain needs). The implementations are 'adapters' (how infrastructure provides it). The domain remains pure and infrastructure is swappable.
We've explored interfaces as pure contracts—specifications that define capability without providing implementation. Let's consolidate the essential insights:
What's Next:
Now that we understand both abstract classes (partial implementation) and interfaces (pure contracts), we face the critical question: When should we use each? The next page provides decision frameworks and guidelines for choosing between abstract classes and interfaces in real-world design situations.
You now understand interfaces as pure contracts—powerful abstractions that define capability without implementation. This contract-based thinking is essential for building flexible, testable, and maintainable software systems. Next, we'll learn when to choose abstract classes versus interfaces.