springboot-patterns

name springboot-patterns description Spring Boot architecture patterns, REST API design, layered services, data access, caching, async processing, and logging. Use for Java Spring Boot backend work. origin ECC Spring Boot Development Patterns Spring Boot architecture and API patterns for scalable, production-grade services. When to Activate Building REST APIs with Spring MVC or WebFlux Structuring controller → service → repository layers Configuring Spring Data JPA, caching, or async processing Adding validation, exception handling, or pagination Setting up profiles for dev/staging/production environments Implementing event-driven patterns with Spring Events or Kafka REST API Structure @RestController @RequestMapping("/api/markets") @Validated class MarketController { private final MarketService marketService; MarketController(MarketService marketService) { this .marketService = marketService; } @GetMapping ResponseEntity<Page<MarketResponse>> list ( @RequestParam(defaultValue = "0") int page, @RequestParam(defaultValue = "20") int size) { Page<Market> markets = marketService.list(PageRequest.of(page, size)); return ResponseEntity.ok(markets.map(MarketResponse::from)); } @PostMapping ResponseEntity<MarketResponse> create ( @Valid @RequestBody CreateMarketRequest request) { Market market = marketService.create(request); return ResponseEntity.status(HttpStatus.CREATED).body(MarketResponse.from(market)); } } Repository Pattern (Spring Data JPA) public interface MarketRepository extends JpaRepository <MarketEntity, Long> { @Query("select m from MarketEntity m where m.status = :status order by m.volume desc") List<MarketEntity> findActive ( @Param("status") MarketStatus status, Pageable pageable) ; } Service Layer with Transactions @Service public class MarketService { private final MarketRepository repo; public MarketService (MarketRepository repo) { this .repo = repo; } @Transactional public Market create (CreateMarketRequest request) { MarketEntity entity = MarketEntity.from(request); MarketEntity saved = repo.save(entity); return Market.from(saved); } } DTOs and Validation public record CreateMarketRequest ( @NotBlank @Size(max = 200) String name, @NotBlank @Size(max = 2000) String description, @NotNull @FutureOrPresent Instant endDate, @NotEmpty List< @NotBlank String> categories) {} public record MarketResponse (Long id, String name, MarketStatus status) { static MarketResponse from (Market market) { return new MarketResponse (market.id(), market.name(), market.status()); } } Exception Handling @ControllerAdvice class GlobalExceptionHandler { @ExceptionHandler(MethodArgumentNotValidException.class) ResponseEntity<ApiError> handleValidation (MethodArgumentNotValidException ex) { String message = ex.getBindingResult().getFieldErrors().stream() .map(e -> e.getField() + ": " + e.getDefaultMessage()) .collect(Collectors.joining( ", " )); return ResponseEntity.badRequest().body(ApiError.validation(message)); } @ExceptionHandler(AccessDeniedException.class) ResponseEntity<ApiError> handleAccessDenied () { return ResponseEntity.status(HttpStatus.FORBIDDEN).body(ApiError.of( "Forbidden" )); } @ExceptionHandler(Exception.class) ResponseEntity<ApiError> handleGeneric (Exception ex) { // Log unexpected errors with stack traces return ResponseEntity.status(HttpStatus.INTERNAL_SERVER_ERROR) .body(ApiError.of( "Internal server error" )); } } Caching Requires @EnableCaching on a configuration class. @Service public class MarketCacheService { private final MarketRepository repo; public MarketCacheService (MarketRepository repo) { this .repo = repo; } @Cacheable(value = "market", key = "#id") public Market getById (Long id) { return repo.findById(id) .map(Market::from) .orElseThrow(() -> new EntityNotFoundException ( "Market not found" )); } @CacheEvict(value = "market", key = "#id") public void evict (Long id) {} } Async Processing Requires @EnableAsync on a configuration class. @Service public class NotificationService { @Async public CompletableFuture<Void> sendAsync (Notification notification) { // send email/SMS return CompletableFuture.completedFuture( null ); } } Logging (SLF4J) @Service public class ReportService { private static final Logger log = LoggerFactory.getLogger(ReportService.class); public Report generate (Long marketId) { log.info( "generate_report marketId={}" , marketId); try { // logic } catch (Exception ex) { log.error( "generate_report_failed marketId={}" , marketId, ex); throw ex; } return new Report (); } } Middleware / Filters @Component public class RequestLoggingFilter extends OncePerRequestFilter { private static final Logger log = LoggerFactory.getLogger(RequestLoggingFilter.class); @Override protected void doFilterInternal (HttpServletRequest request, HttpServletResponse response, FilterChain filterChain) throws ServletException, IOException { long start = System.currentTimeMillis(); try { filterChain.doFilter(request, response); } finally { long duration = System.currentTimeMillis() - start; log.info( "req method={} uri={} status={} durationMs={}" , request.getMethod(), request.getRequestURI(), response.getStatus(), duration); } } } Pagination and Sorting PageRequest page = PageRequest.of(pageNumber, pageSize, Sort.by( "createdAt" ).descending()); Page<Market> results = marketService.list(page); Error-Resilient External Calls Production recommendation: Use Resilience4j or Spring Retry for production retry logic with circuit breakers, metrics, and configurable policies. public <T> T withRetry (Supplier<T> supplier, int maxRetries) { final long maxBackoffMillis = 10_000L ; int attempts = 0 ; while ( true ) { try { return supplier.get(); } catch (Exception ex) { attempts++; if (attempts >= maxRetries) { throw ex; } try { long backoff = Math.min(( long ) Math.pow( 2 , attempts) * 100L , maxBackoffMillis); Thread.sleep(backoff); } catch (InterruptedException ie) { Thread.currentThread().interrupt(); throw ex; } } } } Rate Limiting (Filter + Bucket4j) Security Note : The X-Forwarded-For header is untrusted by default because clients can spoof it. Only use forwarded headers when: Your app is behind a trusted reverse proxy (nginx, AWS ALB, etc.) You have registered ForwardedHeaderFilter as a bean You have configured server.forward-headers-strategy=NATIVE or FRAMEWORK in application properties Your proxy is configured to overwrite (not append to) the X-Forwarded-For header When ForwardedHeaderFilter is properly configured, request.getRemoteAddr() will automatically return the correct client IP from the forwarded headers. Without this configuration, use request.getRemoteAddr() directly—it returns the immediate connection IP, which is the only trustworthy value. @Component public class RateLimitFilter extends OncePerRequestFilter { private final Map<String, Bucket> buckets = new ConcurrentHashMap <>(); /* * SECURITY: This filter uses request.getRemoteAddr() to identify clients for rate limiting. * * If your application is behind a reverse proxy (nginx, AWS ALB, etc.), you MUST configure * Spring to handle forwarded headers properly for accurate client IP detection: * * 1. Set server.forward-headers-strategy=NATIVE (for cloud platforms) or FRAMEWORK in * application.properties/yaml * 2. If using FRAMEWORK strategy, register ForwardedHeaderFilter: * * @Bean * ForwardedHeaderFilter forwardedHeaderFilter() { * return new ForwardedHeaderFilter(); * } * * 3. Ensure your proxy overwrites (not appends) the X-Forwarded-For header to prevent spoofing * 4. Configure server.tomcat.remoteip.trusted-proxies or equivalent for your container * * Without this configuration, request.getRemoteAddr() returns the proxy IP, not the client IP. * Do NOT read X-Forwarded-For directly—it is trivially spoofable without trusted proxy handling. */ @Override protected void doFilterInternal (HttpServletRequest request, HttpServletResponse response, FilterChain filterChain) throws ServletException, IOException { // Use getRemoteAddr() which returns the correct client IP when ForwardedHeaderFilter // is configured, or the direct connection IP otherwise. Never trust X-Forwarded-For // headers directly without proper proxy configuration. String clientIp = request.getRemoteAddr(); Bucket bucket = buckets.computeIfAbsent(clientIp, k -> Bucket.builder() .addLimit(Bandwidth.classic( 100 , Refill.greedy( 100 , Duration.ofMinutes( 1 )))) .build()); if (bucket.tryConsume( 1 )) { filterChain.doFilter(request, response); } else { response.setStatus(HttpStatus.TOO_MANY_REQUESTS.value()); } } } Background Jobs Use Spring’s @Scheduled or integrate with queues (e.g., Kafka, SQS, RabbitMQ). Keep handlers idempotent and observable. Observability Structured logging (JSON) via Logback encoder Metrics: Micrometer + Prometheus/OTel Tracing: Micrometer Tracing with OpenTelemetry or Brave backend Production Defaults Prefer constructor injection, avoid field injection Enable spring.mvc.problemdetails.enabled=true for RFC 7807 errors (Spring Boot 3+) Configure HikariCP pool sizes for workload, set timeouts Use @Transactional(readOnly = true) for queries Enforce null-safety via @NonNull and Optional where appropriate Remember : Keep controllers thin, services focused, repositories simple, and errors handled centrally. Optimize for maintainability and testability.