Full-stack Java development with Vue 2/3 front-end suite; hands-on examples and source code analysis for Spring, Spring Boot 2/3, and Spring Cloud.
This guide shows how to mask sensitive fields like phone numbers and ID cards in Spring Boot responses without modifying business code, using a global ResponseBodyAdvice, JsonPath rules defined in application.yml, and optional custom @Masking annotation for fine-grained control.
The article explains how Spring Boot 3.5 provides the ConcurrencyThrottleInterceptor for limiting concurrent method calls, demonstrates basic configuration and execution, reveals that all intercepted methods share a single limit, and proposes two fixes—per‑pointcut advisors or a BeanPostProcessor with a custom @ConcurrencyLimit annotation—before recommending dedicated libraries such as Bucket4j or Resilience4j for business‑level throttling.
This article explains how Spring AI implements the ETL pipeline for Retrieval‑Augmented Generation, detailing the three core components—DocumentReader, DocumentTransformer, and DocumentWriter—along with concrete code examples, configuration parameters, and processing steps for text, PDF, and Tika document sources.
The article explains why careless use of Spring Boot’s @Async can cause thread‑pool exhaustion, silent failures, and transaction inconsistencies, and presents four advanced patterns—custom thread pools, CompletableFuture parallelism, @TransactionalEventListener, and AsyncUncaughtExceptionHandler—to use @Async safely and observably.
This article explains why duplicate form submissions cause data inconsistency in Spring Boot applications and presents six practical techniques—including disabling the submit button, loading‑state feedback, debounce, Axios request interception, token validation, and AOP interception—to reliably prevent repeated requests in both single‑node and distributed deployments.
This article walks through five proven Java 21 concurrency tuning techniques—including non‑blocking CompletableFuture pipelines, StampedLock for read‑heavy workloads, bounded queues with CallerRunsPolicy, atomic computeIfAbsent usage in ConcurrentHashMap, and correct virtual‑thread patterns—showing how each can dramatically improve throughput and stability in high‑load systems.
This article explores five practical approaches for processing dynamic JSON payloads in Spring Boot 3.5—using Map, JsonNode, ObjectNode, @JsonAnySetter, and Jackson polymorphic deserialization—detailing code examples, advantages, drawbacks, suitable scenarios, and how to apply runtime validation with networknt’s JSON Schema validator.
This article presents five advanced Spring Boot 3.5.0 patterns—ETag with conditional requests, read‑write separation, virtual threads, HTTP client connection reuse, and asynchronous processing—to achieve sub‑millisecond API response times, complete with code examples, configuration steps, and performance benefits.
This article presents fifteen concrete Java performance‑optimization rules—from readable code and proper data structures to efficient string handling, database access, caching, multithreading, reflection, JVM tuning, and memory management—each illustrated with before/after code examples and practical advice.
The article compares four techniques—traditional AOP, a Filter with ContentCaching wrappers, Spring MVC Request/Response Advice, and a custom HandlerAdapter extension—for extracting request parameters and response bodies in Spring Boot 3.5, demonstrating that the HandlerAdapter approach offers the highest performance while remaining non‑intrusive.
