The article explains why Spring's three‑level cache solves simple circular dependencies but fails for AOP‑enhanced beans, describes the timeline mismatch that causes BeanCurrentlyInCreationException, and presents tiered solutions including @Lazy injection, setter refactoring, early proxy processing, and architectural redesign.
The article explains why common rate‑limiting approaches often break under high traffic, compares four mainstream algorithms, and provides a step‑by‑step guide to implement a lightweight, non‑intrusive single‑instance QPS limiter using Spring AOP and Guava's token‑bucket RateLimiter.
The article explains how to implement a zero‑intrusion, AOP‑based global API logging solution for Spring Boot applications, addressing common issues of manual logging such as code clutter, missing logs, inconsistent formats, privacy leaks, and performance overhead by using repeatable request wrappers, configurable filters, structured DTOs, asynchronous persistence, and comprehensive trace and desensitization utilities.
The article provides a step‑by‑step analysis of Spring AOP’s proxy creation process, explaining why some beans are proxied, how @Order, @EnableAspectJAutoProxy, proxyTargetClass and exposeProxy affect proxying, the differences between JDK and CGLIB proxies, and why private, static or final methods cannot be intercepted.
The article explains that Spring AOP cannot intercept methods marked as private, static, or final because JDK dynamic proxies only work on public interface methods and CGLIB subclasses cannot override such methods, leading to static matching but dynamic execution failure, self‑invocation bypass, and complete loss of advice for these method types.
Spring AOP provides five distinct advice types—@Before, @AfterReturning, @AfterThrowing, @After, and @Around—each with specific execution timing; this guide explains their purposes, execution order, common pitfalls, and offers a complete SpringBoot example with code, Maven setup, and logging demonstrations.
Spring’s BeanPostProcessor is a global container hook that intercepts every bean’s lifecycle, enabling custom initialization, dynamic proxying, annotation processing, and resource cleanup; the article explains its three-tier hierarchy, execution order, priority rules, practical use‑cases like auto‑injection, logging, data masking, and common pitfalls.
The article explains Spring’s three kinds of circular dependencies, the role of the first, second, and third‑level caches in the DefaultSingletonBeanRegistry, how the third‑level cache works with AOP proxies, why constructor injection cannot be solved, the @Lazy workaround, and the hidden bugs and best‑practice recommendations.
This article walks through the complete Spring Bean lifecycle—covering scanning, instantiation, dependency injection, initialization, AOP proxy creation, and destruction—while highlighting common pitfalls, the differences for prototype and lazy‑loaded beans, and practical debugging tips.
The article explains Spring's three‑level cache mechanism, shows how the second‑level cache alone can break simple circular dependencies, and details why the third‑level cache is introduced to lazily create AOP proxies without violating the bean lifecycle.
The article explains that Spring's second‑level cache can resolve simple circular dependencies, but a third‑level cache is introduced to handle cases involving AOP proxies, allowing delayed proxy creation without breaking the bean lifecycle.
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 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.
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.
Spring’s bean factory uses a three‑level cache—singletonObjects, earlySingletonObjects, and singletonFactories—to handle circular dependencies, but only the third level is needed when AOP proxies are involved, allowing lazy proxy creation without breaking the standard bean lifecycle.
This article walks through seven concrete implementations for controlling access to Spring Boot 3.5.0 controller endpoints—including Spring Security, Sa‑Token, custom annotation with AOP, interceptor, URL‑based filter, custom HandlerMapping, and a Spring Cloud Gateway filter—providing code samples, configuration details, and test results to help developers choose the right approach for API security.
This article walks through Spring Boot's bean creation pipeline—from the initial getBean call through doGetBean, the three‑level singleton cache, and the detailed steps of createBean, populateBean, and initializeBean—explaining how circular dependencies are safely resolved and where AOP proxies are generated.
This guide demonstrates how to use a custom @SensitiveFilter annotation together with an AOP aspect and the lightweight sensitive‑word library to implement global sensitive‑word filtering in Spring Boot 3, supporting both automatic replacement and detection modes while eliminating repetitive code across controllers.
This article demonstrates how to add a single @Monitor annotation to Spring Boot 3.5.0 services and automatically obtain call‑trace and execution‑time metrics by leveraging Spring AOP, SimpleTraceInterceptor, PerformanceMonitorInterceptor, custom advisors, and a BeanPostProcessor, with full code examples and a test controller.
When a business service needs an API that should only be callable within the internal network, this article evaluates three approaches—microservice isolation, gateway‑Redis whitelist, and gateway‑AOP—and demonstrates a concrete AOP implementation to enforce intranet‑only access.
A test‑developer explores how AI can design and implement a query‑recording function for an insurance policy platform, comparing a code‑savvy approach with a low‑code approach, detailing architecture, AOP interception, async handling, code generation, review, and testing considerations.
The article compares SpringBoot's declarative transaction management using @Transactional with programmatic transaction handling via TransactionTemplate, explaining their underlying mechanisms, code examples, advantages, disadvantages, and suitable scenarios, and provides a detailed side‑by‑side table to help developers choose the appropriate approach.
This article explains the legacy MethodReplacer mechanism in Spring Boot 3, demonstrates a step‑by‑step example of replacing a service method with custom beans, shows how to register the override, test it via a controller, and discusses extensions and why @Aspect is now preferred.
This tutorial walks through why API rate limiting is a critical first line of defense for backend services, compares fixed‑window and sliding‑window strategies, and shows how to create a custom @RateLimit annotation, utility classes, an AOP aspect, Redis or local storage, and unified exception handling, providing complete code and test scenarios for Spring Boot 2.7.x.
This article walks through a complete, step‑by‑step implementation of operation logging in a SpringBoot application using Spring AOP, covering log field design, Maven dependencies, entity and custom annotation creation, aspect definition with around advice, testing endpoints, and practical optimization tips such as real user extraction, database persistence, and sensitive data masking.
This article introduces Aspect‑Oriented Programming in Spring Boot, explains core AOP concepts and terminology, and provides step‑by‑step code examples for creating logging, transaction management, and permission‑validation aspects using annotations such as @Aspect, @Around, @Before, and @Transactional.
This article explains how to automatically include userId and orderId in log messages of an e‑commerce system by defining log placeholders, storing IDs in ThreadLocal, and using a custom @UserLog annotation with Spring AOP to push the values into MDC, complete with configuration, code examples, and verification steps.
After a system has been running, developers often drown in manual log statements to answer questions like why an interface is slow, who called a method, or what parameters were passed, but Spring Boot AOP lets you replace all that with a single annotation and aspect that automatically records calls, execution time, parameters, exceptions, and call chains, keeping business code clean.
This article explains how aspect‑oriented programming (AOP) addresses cross‑cutting concerns by defining joinpoint interfaces, describing their design, illustrating Java examples, and comparing static and dynamic weaving techniques used in frameworks like Spring.
This tutorial shows how to implement graceful dynamic data source switching in SpringBoot by combining ThreadLocal with AbstractRoutingDataSource, configuring master/slave databases, adding a @DS annotation with AOP support, and enabling runtime addition of new data sources.
This article walks through building an elegant dynamic data‑source switch in SpringBoot by combining ThreadLocal with AbstractRoutingDataSource, covering the context holder, custom routing class, YAML configuration, testing, annotation‑driven switching, and runtime addition of new data sources.
This article explains the common reasons Spring transactions become ineffective or fail to roll back—such as wrong method visibility, final modifiers, self‑invocation, non‑Spring beans, multithreading, unsupported table engines, misconfigured propagation, swallowed exceptions, and improper rollback settings—while providing practical code solutions and best‑practice recommendations.
This article explains how to replace static permission annotations in Spring Boot with flexible SpEL expressions, showing step‑by‑step how to create a @PreAuth annotation, an AOP aspect, an expression parser, and a utility class that evaluates role‑ and time‑based access rules at runtime.
This article explains how the zzChromeTools Chrome extension tackles the often‑overlooked “invisible time killers” in frontend development by injecting AOP‑style hooks into the main world, capturing beacon requests, and presenting them in a lightweight DevTools panel, dramatically reducing cognitive load and debugging time.
This article demonstrates a lazy, field‑level permission solution for Spring Boot 3 + Java 17 that uses annotations, AOP, and a custom Jackson serializer to hide unauthorized fields without modifying controllers, DTOs, or business logic.
This article analyzes seven typical reasons why Spring transactions become ineffective or fail to roll back—such as wrong method visibility, final modifiers, self‑invocation, unmanaged beans, multithreading, non‑transactional tables, mis‑configured propagation or exception handling—and provides concrete code examples and practical solutions.
The article explains common pitfalls that cause Spring @Transactional to fail or not roll back, such as incorrect method visibility, final or static modifiers, internal method calls, beans not managed by Spring, multithreading, unsupported database engines, misconfigured propagation, swallowed exceptions, and improper rollback settings, and offers practical solutions for each case.
This article explains how to build a lightweight, production‑grade idempotency middleware for Spring Boot 3 using AOP, a custom @Idempotent annotation, SpEL‑generated keys, and Redis atomic operations, covering architecture, core components, code examples, use cases, and performance characteristics.
This article examines three practical approaches—microservice isolation, Redis‑based whitelist, and gateway‑plus‑AOP—to prevent external exposure of internal APIs, compares their trade‑offs, and provides a complete SpringBoot implementation of the gateway‑AOP solution with code samples.
This guide shows how to eliminate manual logging of user and order identifiers in a Java e‑commerce system by declaring log placeholders, storing values in ThreadLocal, and using a custom @UserLog annotation with Spring AOP to automatically populate MDC variables for Log4j2.
This article provides a detailed walkthrough of Spring's circular‑dependency resolution, explaining the three‑level cache mechanism, step‑by‑step bean creation flow, and the underlying source‑code logic, complete with diagrams and code examples for deep understanding.
This guide explains why sensitive configuration and user data must be encrypted in Spring Boot projects, demonstrates how to use Jasypt for property‑level encryption and custom AOP‑based field masking, and dives into the underlying PBE algorithm and source‑code mechanics.
This article examines the need for comprehensive business operation logging in a central system, outlines the benefits of audit, security, monitoring, and analysis, and walks through three progressive solutions—AOP with annotations, AOP with SpEL, and a Binlog‑based time‑window approach—detailing their implementations, trade‑offs, and architectural considerations.
This article explains Spring's circular‑dependency problem, introduces the three‑level cache (singletonObjects, earlySingletonObjects, singletonFactories), walks through the full execution flow with code examples, and clarifies why each cache level and AOP proxy factories are essential for correct bean initialization.
This article introduces a high‑performance, high‑availability AOP plugin for the Webman framework that works on PHP 8, explains its features, installation, configuration, usage examples, custom aspect creation methods, notification types, execution order, JoinPoint API, and provides complete code samples for caching and transaction aspects.
Field-level permission control provides fine-grained data access in Spring Boot applications, allowing read/write restrictions per object field; the article explains core concepts, compares annotation, AOP, serializer, and database approaches, and presents a complete implementation using Spring Boot 3.1, Java 17, Jackson, and Spring Security.
This guide explains how to use Spring's MDC to generate and propagate a traceId through HTTP requests, RabbitMQ messages, thread‑pool tasks, and XXL‑Job scheduled jobs, enabling unified log tracing without adding extra dependencies.
This article examines six practical techniques for measuring the latency of online interfaces in Java, from simple System.currentTimeMillis() calls to advanced AOP, interceptors, filters, and production‑grade monitoring tools like Micrometer and APM, comparing their precision, intrusiveness, and suitable scenarios.
This article presents a complete, step‑by‑step analysis of a high‑concurrency Redis counter component that supports up to 100 000 QPS, covering business pain points, architectural design, two core counting strategies, sharding, local batch optimization, code walkthroughs, and performance benchmark results.
This article explains how to automatically include userId and orderId in log messages by defining log placeholders, storing these values in a thread‑local MDC map, and using a custom @UserLog annotation together with Spring AOP to inject the data at runtime, simplifying debugging and improving productivity.
A backend admin service failed to start due to a Spring circular‑dependency error where a bean was injected in its raw form before AOP proxy creation, exposing the limits of Spring’s three‑level cache and prompting a detailed analysis of the root cause and practical solutions.
This article explains how to improve the performance of large PostgreSQL IN queries by splitting them into smaller batches, executing them concurrently with Spring AOP and custom annotations, and then merging the results, providing a reusable solution for high‑volume database operations.
This article walks through various Java retry mechanisms—including manual loops, static and dynamic proxies, AOP, Spring Retry annotations, and Guava‑retry—explaining their implementations, advantages, drawbacks, and when to choose each approach for robust remote service calls.
This article explains why read‑write separation is essential for high‑concurrency applications, discusses its limitations, and provides a step‑by‑step Spring Boot implementation—including datasource configuration, routing logic, context management, custom annotations, AOP handling, and usage examples—complete with code snippets and diagrams.
This article explains why front‑end debouncing is insufficient for preventing duplicate orders, then walks through four backend strategies—local cache with AOP, Redis atomic operations, database unique indexes, and token verification—providing core principles, code examples, and pros/cons for each.
This article explains the challenges of manual JDBC transaction handling, introduces Spring's unified transaction API with PlatformTransactionManager, TransactionDefinition, and TransactionStatus, demonstrates code examples for programmatic and declarative transactions, and discusses common pitfalls such as non‑public methods, self‑invocation, and exception handling.
Spring Boot AOP simplifies cross‑cutting concerns such as logging, transaction management, and monitoring by using proxy‑based aspect‑oriented programming; this guide walks through adding dependencies, core concepts, proxy mechanisms, configuration, defining aspects with various advice types, custom annotations, real‑world scenarios, best practices, and troubleshooting tips.
This article explores Spring Boot’s most valuable built‑in capabilities—including request logging, content caching wrappers, OncePerRequestFilter, AOP utilities, starter auto‑configuration, flexible property binding, async and scheduled tasks, Actuator monitoring, and SpEL expressions—providing code examples and practical guidance to boost productivity and application robustness.
This article explains common pitfalls in Java controller interface design—such as inconsistent return formats, missing failure handling, and inappropriate parameters—and demonstrates how a unified ResultBean response combined with AOP logging and exception handling can improve code readability, maintainability, and testability.
This tutorial walks through implementing unified user login verification, exception handling, and response formatting in Spring Boot using AOP aspects, HandlerInterceptor, @ControllerAdvice, and ResponseBodyAdvice, providing complete code examples and architectural explanations.
This article provides a comprehensive guide to Spring XML configuration, covering namespace declaration, bean definition, property injection, scope settings, dependency wiring, AOP setup, transaction management, file imports, and component scanning with clear code examples and explanations.
This article provides a comprehensive overview of the Spring framework, covering its core principles such as Inversion of Control, Dependency Injection, Aspect‑Oriented Programming, and transaction management, while illustrating each concept with diagrams and practical code examples for Java developers.
This article explains the fundamental differences between Spring MVC interceptors and servlet filters, provides complete Java code examples for both, shows how to configure them in Spring and web.xml, and summarizes when to choose each approach for request handling and AOP-like functionality.
This guide shows how to automatically inject userId and orderId into Spring Boot log messages by defining log placeholders, using ThreadLocal, creating a custom @UserLog annotation, and applying a Spring AOP aspect that populates MDC, dramatically simplifying logging in e‑commerce systems.
Spring’s @Transactional annotation often appears simple, yet it can silently fail due to unnecessary usage, scope issues, proxy limitations, propagation settings, exception handling, and bean management, leading to unexpected non‑rollback behavior; this article categorizes thirteen common pitfalls and demonstrates each with concrete code examples.
This article demonstrates how to implement a lightweight circuit‑breaker mechanism in Spring Boot 3 by defining a custom @Breaker annotation, a failure‑tracking component using LongAdder, and an AOP aspect that handles opening, probing, and fallback logic without external libraries.
Learn the fundamentals of finite state machines, explore their core concepts and four key elements, and see how to implement and persist a Spring Statemachine for order processing with detailed code examples, diagrams, and troubleshooting tips, while also understanding common pitfalls and best practices.
This article explains how to automate the handling of common entity fields such as creation time, update time, and user identifiers in Java backend services by using MyBatis-Plus automatic filling, custom AOP aspects, multi‑data‑source configuration, distributed ID generation, and auditing techniques, dramatically reducing boiler‑plate code and bugs.
This article walks through Spring Boot’s most useful built‑in features—including request logging, content‑caching wrappers, OncePerRequestFilter, AOP utilities, starter auto‑configuration, flexible property binding, async scheduling, Actuator monitoring, and SpEL expressions—showing how to apply them with concise code examples to boost productivity and reliability.
This article explains why masking sensitive data such as ID numbers, phone numbers, and bank cards is essential, then demonstrates five practical Spring Boot 3 solutions—including custom JsonSerializer, Jackson modules, AOP, ResponseBodyAdvice, and JsonFilter—complete with code examples and output screenshots.
This article explores a step‑by‑step evolution of business operation logging—from a simple AOP‑annotation approach, through enriched SpEL expressions, to a robust Binlog‑based solution with time‑window aggregation—highlighting benefits, challenges, code examples, and architectural diagrams for backend developers.
This article explains how to use SpringBoot, AOP, and a custom annotation to dynamically switch between MySQL master and slave databases, automatically falling back to the master when a slave fails, and covers configuration, code implementation, and multi‑source extensions.
The article explains how inconsistent API return types, missing error handling, irrelevant or complex parameters, and lack of proper result objects lead to maintenance headaches, and demonstrates a disciplined approach using a generic ResultBean, standardized controller conventions, and Spring AOP for logging and exception handling.
This guide covers evaluating engineer hourly wages, interview self‑introduction tips, local vs distributed cache choices, ThreadLocal usage, memory‑leak detection with MAT, deadlock troubleshooting, Spring Bean lifecycle, AOP implementation, and Redis‑based distributed locks, plus resources for Spring Boot projects.
This article demonstrates how to decouple business logic from validation in Spring Boot 3 by creating a custom @BusinessValidation annotation, defining rule interfaces, implementing concrete validators, and using an AOP aspect to execute them with configurable fast‑fail and exception handling, complete with code examples and testing.
This article walks through nine essential Spring Boot built‑in capabilities—including request logging, content caching, filter execution control, AOP utilities, starter auto‑configuration, flexible property binding, async/scheduled tasks, Actuator monitoring, and SpEL expressions—showing how they boost backend development productivity without extra dependencies.
This article demonstrates how to implement flexible, decoupled data permission control in Spring Boot 3 by defining a @DataPermission annotation, creating strategy classes for different scopes, wiring them through an AOP aspect, and integrating the solution with JPA entities, MyBatis mappers, and comprehensive test cases.
This tutorial walks through implementing unified user login verification, request interception, global exception handling, and a consistent response format in Spring Boot using AOP, HandlerInterceptor, @ControllerAdvice, and ResponseBodyAdvice, complete with code examples and architectural explanations.
The article analyzes the repetitive maintenance of common fields like createTime and updateUser in SpringBoot CRUD services, presents six production‑tested strategies—including MyBatis‑Plus meta‑object handling, AOP with custom annotations, multi‑data‑source adaptation, distributed ID generation, caching, batch optimization, and audit logging—detailing implementations, pitfalls, and best‑practice recommendations that can cut code by 90% and boost development efficiency.
This article explains Aspect Oriented Programming, contrasts it with Object Oriented Programming, illustrates cross‑cutting concerns with real‑world examples, and provides a step‑by‑step guide—including Maven dependencies, annotation definitions, and execution expressions—to implement AOP in a Spring Boot application.
This article explains how to protect time‑consuming business operations using a Redis‑based distributed lock implemented with a custom annotation, Spring AOP interception, automatic lock renewal via a scheduled executor, and proper lock release, ensuring data consistency across concurrent requests.
An in‑depth analysis of a Spring transaction failure caused by a custom AOP aspect interfering with the default TransactionInterceptor, detailing the symptom, root cause, and step‑by‑step solutions—including adjusting aspect order, rethrowing exceptions, and manual rollback—to ensure reliable transaction management.
The article first marvels at the record‑breaking sales of Xiaomi's YU7 electric SUV, then provides a comprehensive set of Java and Spring interview questions—including B‑tree differences, MySQL hash indexes, ReentrantLock internals, Spring's circular‑dependency resolution, AOP principles, and Spring Cloud components—to help candidates prepare for Xiaomi's upcoming campus recruitment.
Learn how to design and implement a Redis-based distributed lock in Java using custom annotations, AOP interception, and a scheduled executor to automatically extend lock expiration, ensuring safe concurrent access to critical resources while handling timeouts, retries, and thread interruptions.
This article explains five frequent scenarios where Spring @Transactional fails—such as internal method calls, non‑public methods, swallowed exceptions, final/static methods, and unsupported MySQL engines—and provides concrete solutions and best‑practice rules for reliable transaction management.
This article presents a production‑tested, six‑step automation strategy—combining MyBatis‑Plus auto‑fill, AOP interceptors, JWT‑based user retrieval, multi‑data‑source handling, distributed ID generation, and audit logging—to completely remove manual maintenance of common fields like create_time and update_by in Java order modules, boosting efficiency and reducing bugs.
This article presents a production‑tested, six‑strategy solution—including MyBatis‑Plus auto‑fill, AOP, JWT, multi‑datasource handling, distributed ID generation, and audit logging—to eliminate repetitive maintenance of common fields in Java order modules, boosting efficiency and reducing bugs.
This article explains how the SpringBoot @Around annotation empowers developers to handle logging, security, validation and other cross‑cutting concerns in a concise, reusable way, reducing boilerplate code and improving maintainability across multiple modules.
This article explores Spring Boot’s powerful built‑in utilities—including request logging, content caching, once‑per‑request filters, AOP helpers, starter auto‑configuration, flexible property binding, asynchronous execution, Actuator monitoring, and SpEL expressions—showing how they streamline development, improve maintainability, and boost production‑grade reliability.
This article explains how to implement database read‑write separation in a Spring Boot application by configuring master and slave data sources, creating a routing datasource, managing thread‑local context, and using an AOP‑based annotation to switch between read and write operations.
This article presents a production‑tested, six‑step solution for automatically handling common entity fields such as createTime, updateTime, createUser, and updateUser in Java backend systems, covering MyBatis‑Plus auto‑fill, AOP interception, multi‑data‑source adaptation, distributed ID generation, pitfalls avoidance, performance tuning, and audit logging.
This article explains four practical ways to control the availability of Spring Boot controller endpoints at runtime—using @ConditionalOnProperty, a custom AOP annotation, a HandlerInterceptor, and a custom RequestMappingHandlerMapping—detailing code examples, configuration, advantages, and trade‑offs.
This article analyzes the pain points of manually maintaining common fields in order‑related entities and presents a production‑tested solution that combines MyBatis‑Plus automatic filling, custom AOP annotations, multi‑data‑source handling, distributed ID generation, and auditing to dramatically reduce boilerplate code and bugs.
This guide explains how to quickly set up SpringBoot AOP, interceptor, and HandlerMethodArgumentResolver development by providing Maven dependencies, annotation definitions, code templates, usage examples, and the execution order of these components.
This article presents a production‑validated solution that combines MyBatis‑Plus auto‑fill, AOP, JWT, multi‑data‑source handling, distributed ID generation, performance tuning, and audit logging to eliminate repetitive maintenance of common fields such as createTime, updateTime, createUser, and updateUser in Java backend order services.
This article presents a production‑tested solution for automatically handling common entity fields such as createTime, updateTime, createUser, and updateUser in Java backend systems, combining MyBatis‑Plus auto‑fill, AOP interceptors, custom annotations, multi‑datasource support, distributed ID generation, and auditing techniques to eliminate repetitive code and reduce bugs.
This article explains how to split a multi‑function OpenAPI endpoint into independent steps using the responsibility‑chain pattern in Spring, detailing the abstract component, context sharing, bean retrieval via ApplicationContext, and a controller that dynamically orders execution through a query parameter, with full code examples.
This article presents a comprehensive guide to implementing full‑chain log tracing, unified exception handling, permission interception, request latency monitoring, and standardized log formats in enterprise‑level Java projects using Spring AOP, thread‑local context, and Redis caching.
This article introduces the six main types of interceptors in SpringBoot—Filter, HandlerInterceptor, AOP, RestTemplate, Feign, and WebFilter—explaining their typical use‑cases, implementation details, common pitfalls, and best‑practice ordering to help developers choose the right tool for each scenario.
This article explains how to extract AOP annotation code, implements a Redis-based rate limiter using Redisson in Java, analyzes the underlying Lua script, and extends the utility to support automatic expiration of the limiter, providing complete code examples and detailed explanations.
