This article explains Spring's control flow pointcuts, compares them with AspectJ cflow pointcuts, walks through a complete Java example with nested service classes, shows how to configure a ControlFlowPointcut and proxy, and discusses performance implications and usage scenarios.
This article demonstrates how to implement unified user login permission checks, centralized exception handling, and consistent response formatting in Spring Boot using AOP, HandlerInterceptor, @ControllerAdvice, and ResponseBodyAdvice, providing step‑by‑step code examples and configuration details.
This article explains how to combine Spring AOP and Spring Security in a Spring Boot 2.7.12 application to implement permission verification, covering concepts, required dependencies, custom filters, annotations, aspect logic, global exception handling, test endpoints, JWT token handling, and extensions for SpEL‑based role checks.
This article explains how to apply Redisson's distributed lock in Java, demonstrates the basic lock and tryLock APIs, shows how to create a custom @DistributedLock annotation and an AOP aspect to handle locking automatically, and provides a practical usage example with two services.
This article introduces Javaassist, a Java library for runtime bytecode manipulation, and demonstrates how to view compiled bytecode, add Maven dependencies, generate new classes, modify existing ones, insert fields and methods, and apply AOP‑style enhancements without changing source code.
This article introduces a generic asynchronous processing SDK for Java Spring applications, covering its purpose, advantages, underlying principles, component choices such as Kafka, XXL‑Job, MySQL, design patterns, database schema, configuration via Apollo, usage instructions, safety considerations, and provides code examples and a GitHub repository link.
This article explains how to implement a flexible business retry mechanism in Spring using custom annotations and AOP, covering the rationale, code examples for the @Retry annotation, RetryAspect, transaction considerations, and alternative Spring Retry library integration.
Learn how to implement comprehensive parameter validation in Spring Boot 2.6.12 using JSR‑303 Bean Validation, covering simple checks, validation groups, single‑parameter validation, nested objects, custom utilities, internationalization, and unified AOP‑based handling with practical code examples and configuration steps.
This article presents practical Spring performance optimization techniques—including AOP‑based logging, second‑level caching with @Cacheable, reducing database queries via fetch strategies, employing thread‑pool executors, and general database query tuning—to improve application speed and resource efficiency.
The article explains how concurrent database updates can cause Redis cache inconsistency, introduces the delayed double‑delete solution, details each step of the algorithm, provides full Spring Boot AOP implementation code, demonstrates verification with test cases, and shares the complete project repository.
This article explains Java annotations, their purposes such as providing compiler metadata, generating code, runtime processing, and documentation, introduces built‑in and meta‑annotations, and demonstrates how to create and use custom annotations both via reflection and with Spring AOP for logging, including full code examples.
This article explains the fundamentals of finite state machines, demonstrates how to model order lifecycle states and transitions in Java using Spring StateMachine, and provides detailed code examples for persistence, event handling, and advanced error‑handling techniques such as AOP and Redis storage.
This article explains the fundamentals of finite‑state machines, introduces Spring Statemachine, demonstrates how to model an order lifecycle, configure persistence with in‑memory and Redis stores, and provides complete Java code for enums, configuration, services, controllers, listeners, testing, and exception‑handling improvements.
This article explains the fundamentals of Aspect‑Oriented Programming (AOP) in Spring, describes key concepts such as pointcuts, advice, aspects, and weaving, and provides step‑by‑step code examples—including simple and advanced use cases and detailed annotation usage—to help developers integrate AOP effectively into their Spring Boot applications.
This article explores how to design module interfaces using Aspect‑Oriented Programming in Java, covering AOP background, definition, pointcut identification, joinpoint interface design, advice abstraction, and both static and dynamic weaving techniques, with practical code examples and diagrams.
This article explains the fundamentals of database transactions, introduces Spring's @Transactional annotation, and enumerates nine typical situations—such as incorrect method visibility, final methods, self‑invocation, unmanaged beans, multithreading, wrong propagation, swallowed exceptions, unsupported exception types, and non‑transactional storage engines—where transactions may not work as expected, offering guidance to prevent these pitfalls.
This article explains why a unified API response format like ResultBean is essential for Java Spring controllers, outlines common interface design mistakes, presents controller conventions, and demonstrates an AOP solution with logging and exception handling to improve code readability and maintainability.
The article explains common pitfalls in Java backend interface design, proposes a unified ResultBean response format, outlines controller coding standards, and demonstrates how to use Spring AOP for logging and exception handling, providing complete code examples and configuration snippets.
The article introduces a lightweight bytecode‑enhancement framework that weaves interceptors directly into Java methods to record execution times and call hierarchies, avoiding proxy overhead, supporting synchronous, asynchronous and lambda scenarios, and enabling precise performance monitoring and tracing across micro‑service architectures.
This article explains the background of Aspect‑Oriented Programming, how to identify and describe join points through interface design, the structure of the AOP Alliance Joinpoint API, and the static and dynamic weaving techniques used by frameworks such as Spring.
This article analyzes AOP’s origins, defines join points and cross‑cutting logic, designs interfaces based on the AOP Alliance specifications, and compares static versus dynamic weaving approaches, illustrating each step with Java code examples and diagrams to show how Spring implements AOP.
This article walks through the evolution of a Spring‑based JWT token validation solution, from passing HttpServletRequest into service methods to using a custom @NeedToken annotation, reflection, a base class, and finally ThreadLocal to ensure each request’s token is safely isolated in high‑concurrency environments.
This article explains how to prevent duplicate API calls and achieve idempotency in Spring Boot 3.0.5 by using unique tokens, timestamps, or Spring AOP, and provides complete code examples for custom annotations, AOP aspects, interceptors, and Redis‑based token management.
This article examines three practical approaches for preventing external exposure of specific APIs—service isolation, gateway‑based Redis whitelist, and gateway‑plus‑AOP—evaluates their trade‑offs, and provides step‑by‑step Java code to implement the preferred AOP solution in a Spring Cloud environment.
This article explains the concept of idempotency, identifies which HTTP methods are naturally idempotent, and demonstrates a complete Java Spring solution—including custom annotations, AOP handling, token generation, and Redis storage—to guarantee safe retry and duplicate‑request protection.
This article explains why retry mechanisms are essential for remote service calls, compares several implementation approaches—including manual loops, static and dynamic proxies, AOP, Spring Retry annotations, and Guava‑Retry—provides complete Java code examples, and discusses the advantages and drawbacks of each method.
This article walks through seven retry implementations for Java services—manual loops, static proxy, JDK dynamic proxy, CGLib proxy, custom AOP, Spring Retry annotations, and Guava‑retry—showing code examples, analyzing their pros and cons, and recommending the best fit for different project contexts.
This article explains why @Transactional may fail in multithreaded Spring Boot scenarios, shows how to enable @Async with a custom thread pool, and demonstrates a pair of custom annotations together with AOP to achieve coordinated multithreaded transaction management.
This article explains how to enhance SpringBoot's native @Scheduled tasks with the spring-boot-starter-super-scheduled library, allowing dynamic creation, modification, and cancellation of scheduled jobs at runtime without altering existing annotations, and details the underlying implementation using BeanPostProcessor, CGLIB proxies, and a custom task manager.
This article explains how to achieve API idempotency in high‑concurrency scenarios by creating a custom @RepeatSubmit annotation, using AOP interception, Redis setNx for locking, and a request‑wrapper to allow repeated reading of request parameters in Spring applications.
This article demonstrates how to simulate a high‑concurrency flash‑sale scenario using SpringBoot, MySQL and JMeter, analyzes why naive lock‑and‑transaction code causes overselling, and presents six refined solutions—including controller‑level locking, AOP locking, pessimistic and optimistic database locks, and queue‑based approaches—along with performance test results.
This article describes the challenges of scaling a multi‑system operation log platform, proposes a new unified log schema, compares non‑intrusive and intrusive collection approaches using Canal and AOP/annotations, and outlines a rule‑engine‑driven migration strategy for legacy log data.
This article outlines the design goals, architecture, and implementation details of a high‑performance distributed caching solution for Spring Boot applications, combining Redis as a first‑level cache with Caffeine as a second‑level cache, and provides configuration, usage examples, and future enhancement plans.
This article explains how to restrict certain microservice interfaces to internal calls only by using two approaches—gateway with whitelist and gateway combined with AOP—detailing the implementation steps, code examples, and trade‑offs in a Spring Cloud environment.
This article provides a comprehensive overview of Spring’s Assert utilities and a wide range of Spring Framework helper classes—including ObjectUtils, StringUtils, CollectionUtils, FileCopyUtils, ResourceUtils, StreamUtils, ReflectionUtils, and AOP utilities—detailing their purpose and key method signatures for Java backend development.
This article explains why rate limiting is critical for microservice architectures, reviews common limiting algorithms, and provides step‑by‑step implementations using Dubbo, Spring Cloud, Guava token‑bucket, Sentinel, Redis+Lua, and a reusable Spring Boot starter with custom annotations and AOP.
This article explores three practical solutions for exposing APIs only to internal services—microservice isolation, a Redis‑based whitelist via the gateway, and a gateway‑plus‑AOP approach—detailing their trade‑offs and providing complete Java code examples for the chosen method.
This article explains why @Transactional fails in multithreaded Spring Boot scenarios, then demonstrates how to combine @Async, a custom thread‑pool, @MainTransaction and @SonTransaction annotations with AOP logic to achieve reliable multi‑threaded transaction control, complete with code examples and usage guidelines.
The article explains how Spring’s IoC container, dependency injection, singleton beans, and AOP simplify Java backend development by abstracting object creation, configuration, and cross‑cutting concerns, illustrated with code examples and practical scenarios such as conditional bean loading and Redis client selection.
This article introduces the fundamentals of finite state machines, explains their four core concepts, demonstrates how to model order workflows with state diagrams, and provides a comprehensive guide to implementing, configuring, persisting, and testing Spring Statemachine in a Java backend, including solutions for exception handling and AOP enhancements.
This article explains how to move authentication from the gateway to individual Spring Cloud microservices by defining three custom annotations and an AOP aspect, while also covering Feign‑based calls and providing practical code examples for implementation.
This article explains why ThreadLocal can cause information loss, corruption, or OOM in Java applications and presents two practical approaches—Java agent bytecode manipulation and proxy‑based thread‑pool wrappers—along with concrete Spring Sleuth implementations and testing results to ensure safe propagation and cleanup.
This article provides a detailed overview of Java backend utilities, covering Spring's Assert class for logical checks, common ObjectUtils and StringUtils methods, collection helpers, file and stream utilities, as well as reflection and AOP tools with practical code examples.
This article explores Java's exception hierarchy, demonstrates proper use of try‑catch‑finally and return statements, shows how to define custom system, business, and third‑party exceptions, implements global handling with @RestControllerAdvice, and discusses monitoring and alerting strategies for robust backend development.
This article explains the fundamentals of finite state machines, introduces the four core concepts of state, event, action, and transition, demonstrates how to model an order lifecycle with a state‑machine diagram, and provides a complete Spring Statemachine implementation—including enums, configuration, persistence (memory and Redis), listeners, testing, and solutions to common exception‑handling issues—complete with runnable Java code examples.
This article explains the design and implementation of a business operation logging feature in a Spring Boot application, contrasting flawed hard‑coded approaches with a clean AOP‑based solution, and provides full code snippets, configuration, database schema, and testing tips.
This article explains how to design and implement a business operation logging feature using Spring AOP in a Spring Boot project, covering requirement analysis, anti‑pattern pitfalls, AOP design, environment and dependency setup, database schema, annotation and aspect code, and testing procedures.
This article explains how improper use of AOP in Spring can cause object escape leading to concurrency safety problems, discusses issues such as asynchronous thread modifications, caching, and incorrect advice ordering with @Transaction, @Retryable, and dynamic datasource switching, and provides practical guidance to avoid these pitfalls.
This article introduces the fundamentals of finite‑state machines, explains the four core concepts of state, event, action and transition, and provides a step‑by‑step Spring Statemachine implementation with database schema, enum definitions, configuration, persistence options, testing, common pitfalls and an AOP‑based solution for reliable transaction handling.
This article explains the causes of Spring circular dependency exceptions, details how Spring's three‑level cache and AOP proxy mechanisms contribute to the problem, and provides practical solutions such as using @Lazy, refactoring code, and ensuring a single AutoProxyCreator to prevent bean creation failures.
This article explores how Spring implements classic design patterns—Proxy, Strategy, Decorator, Singleton, Simple Factory, Factory Method, Observer, Template, and Adapter—detailing their purpose, core code snippets, and the way Spring leverages them to provide flexible, extensible, and maintainable backend functionality.
This article explains how to protect time‑consuming business operations using a Redis‑based distributed lock implemented with custom annotations, Spring AOP, and a scheduled thread pool that automatically extends lock expiration to avoid premature release.
This article explains how to protect time‑consuming business operations by using Redis as a distributed lock, designing a custom @RedisLock annotation, applying Spring AOP to intercept methods, handling lock acquisition, expiration, renewal via a ScheduledExecutorService, and releasing the lock safely after execution.
This article explains the complete Spring bean lifecycle—including creation, property filling, initialization, usage, and destruction—detailing how Spring manages object creation, dependency injection, AOP proxy generation, and lifecycle callbacks through various internal phases and extension points.
This article explains how to dynamically manage multiple Spring data sources, switch them at runtime using AbstractRoutingDataSource, and ensure transactional consistency across databases by implementing custom AOP, connection proxies, and multi‑transaction annotations.
This tutorial walks through creating a reusable SpringBoot starter that combines Guava's local token‑bucket limiter and Redis's distributed limiter, allowing developers to toggle between them via a simple configuration property and integrate the solution seamlessly with AOP and conditional beans.
This article explains how to implement interface rate limiting in a Spring application by creating custom annotations, using AOP for method interception, and leveraging a Redis‑like ConcurrentMap cache to control request counts within a fixed time window.
This article demonstrates how to use Spring Boot AOP and HandlerInterceptor to create a unified user login permission check, standardized exception handling with @ControllerAdvice, and consistent JSON response formatting, providing step‑by‑step code examples and configuration details for building robust backend services.
This tutorial explains how to replace repetitive session checks in Spring Boot controllers with a unified login validation mechanism using AOP, custom HandlerInterceptors, @ControllerAdvice for exception handling, and a standard JSON response format, complete with code examples and flow diagrams.
This article walks through the design and implementation of a Redis‑based distributed lock for time‑consuming business operations, covering annotation creation, AOP pointcut setup, lock acquisition and release, timeout handling with a renewal thread, testing, and practical code examples.
This article explains three practical approaches—separate microservices, gateway + Redis whitelist, and gateway + AOP—to restrict external access to internal APIs, and provides a detailed Spring Cloud Gateway and AOP code implementation for Java microservice architectures.
This article provides a comprehensive guide to Java exception handling, covering exception categories, bytecode‑level mechanisms, common pitfalls, Alibaba’s coding standards, best‑practice recommendations, custom exception design, and global handling strategies for RPC and HTTP services in Spring Boot.
This article demonstrates how to build a unified processing module in Spring Boot by using AOP and HandlerInterceptor to centralize user login validation, standardize response formats, handle exceptions globally with @ControllerAdvice, and configure path prefixes, providing complete code examples and implementation details.
This article walks through building a Spring Boot application that centralizes user login verification, exception handling, and response formatting by leveraging AOP, custom HandlerInterceptors, @ControllerAdvice, and ResponseBodyAdvice to create clean, maintainable backend code.
This article demonstrates how to consolidate user login authentication, exception handling, and response formatting in a Spring Boot application by using AOP, custom HandlerInterceptors, @ControllerAdvice, and a unified AjaxResult wrapper to simplify development and improve maintainability.
This article explains how to use Spring's ProxyFactoryBean to create AOP proxies, covering its properties, the choice between JDK and CGLIB proxies, bean configuration examples, global advisors, and practical considerations for proxying classes versus interfaces.
This article provides an in‑depth walkthrough of how Spring resolves circular dependencies using its three‑level cache mechanism, complete with code examples, step‑by‑step execution flow, and a deep dive into why each cache level is essential.
This article explains the Spring AOP advice lifecycle, distinguishes shared and per‑instance advice beans, and details each advice type—around, before, throws, after‑returning, and introduction—along with practical Java code snippets for implementation.
This article explains how to enable @AspectJ support in Spring (both via annotations and XML), defines custom AspectJ pointcuts and advice, and dives into Spring AOP APIs such as Pointcut, ClassFilter, MethodMatcher, and utility classes for composing pointcuts.
JVM‑Sandbox provides a non‑intrusive, runtime AOP solution for Java backend applications, enabling developers to instrument code outside the Spring container, record traffic, hot‑fix vulnerabilities, simulate failures, and monitor Spring bean initialization, all through JVMTI, Instrumentation, and event‑driven modules.
This article explains how to create a custom @FeignRetry annotation that leverages Spring Retry to provide configurable, per‑method retry policies for Feign client calls, including code examples of the annotation, aspect implementation, and usage patterns.
This article explains how to design a flexible logging solution in Java by creating a custom @Log annotation, using meta‑annotations such as Retention and Target, and applying Spring AOP with various advice types to capture method parameters, return values, and notes without polluting service code.
This article explains the core concepts of the Spring framework—including its container, bean definition readers, bean factories, and three‑level cache mechanism—while detailing how Spring resolves circular dependencies and integrates AOP during bean creation.
This article explains the importance of data safety, defines the ACID properties of transactions, details how InnoDB implements them, and shows how Spring's @Transactional annotation works with AOP, including default rollback behavior, configuration options, and common pitfalls that can cause transaction failures.
This article explains why private controller methods in Spring Boot fail when AOP logging is enabled, revealing that CGLIB proxies cannot intercept private methods, which leads to null service injection, and provides code examples and a final conclusion.
This article explains how to extend the classic Role‑Based Access Control (RBAC) model with fine‑grained data permissions, detailing rule definition, database design, role‑rule binding, and AOP‑based enforcement, and offers optimization tips such as rule groups for complex scenarios.
This article explains how to achieve database read‑write separation in high‑concurrency scenarios using Spring Boot, Druid connection pool, dynamic DataSource routing, a ThreadLocal context holder, custom annotations, and AOP, providing complete configuration code and usage examples for both read and write operations.
This article explains how Spring's @EnableTransactionManagement activates transaction support by registering advisors and proxy beans, details the core execution flow of transactional methods, explores various propagation scenarios with code examples, and demonstrates forced rollback and transaction synchronization techniques.
This article explains how Spring enables transaction management through @EnableTransactionManagement, details the underlying advisor and proxy mechanisms, describes the basic and detailed execution steps, explores propagation types with practical code examples, and shows how to force rollbacks and use TransactionSynchronization for lifecycle callbacks.
This article explains how Aspect‑Oriented Programming (AOP) was introduced into a data construction platform to address high development effort, strong business coupling, and maintenance difficulty by isolating cross‑cutting concerns such as logging, thereby improving modularity, development speed, and code maintainability.
This article explains how to augment the classic Role‑Based Access Control (RBAC) model with row‑level data permissions, detailing rule definition, database design, role‑rule binding, and an AOP‑based implementation for dynamic SQL filtering.
This article explains Spring's IoC container architecture, bean definition processing, lifecycle methods, and AOP proxy creation, providing detailed code examples and step‑by‑step descriptions of resource loading, bean instantiation, dependency injection, and interceptor chains.
This article explains how Alipay measures and improves Android cold‑start performance through video‑frame analysis, ActivityTaskManager, custom instrumentation, home‑page snapshot techniques, temperature control, patch‑APK data collection, AOP‑based diagnostics, and an integrated APM platform.
This article walks through the fundamentals of Spring's transaction management, presenting a practical example, detailed execution workflow, and step‑by‑step source‑code analysis—including bean creation, AOP proxy generation, transaction attribute retrieval, transaction start, commit, and rollback – to help developers master Spring transaction internals.
This article explains Spring's @Transactional annotation, detailing its propagation options, rollback mechanisms, common pitfalls such as self‑invocation and non‑public methods, and demonstrates how to correctly invoke transactional methods via proxy objects with practical code examples.
This article presents a comprehensive Spring Boot tutorial on implementing non‑intrusive login authentication using three techniques—Filter, Interceptor, and AOP with custom annotations—plus extensions such as ThreadLocal storage and a Spring MVC argument resolver, complete with project setup, Maven dependencies, and test screenshots.
This article explains the differences between Spring MVC interceptors and servlet filters, provides complete Java code examples for both, describes how to configure them in Spring and web.xml, and summarizes their respective scopes, lifecycles, and typical use‑cases in web development.
This article explains the background of RocketMQ clusters, demonstrates typical Java consumer and producer usage, and introduces the AOP‑based HunterConsumer and HunterProducer components that simplify lifecycle management, configuration, and code reuse for backend developers working with messaging systems.
This article compares three approaches—microservice isolation, gateway with Redis whitelist, and a gateway‑plus‑AOP header strategy—to enforce internal‑only API access, and provides a complete Spring Cloud implementation with code examples and a diagram.
This article provides a comprehensive overview of Spring’s utility classes, covering Assert assertions, ObjectUtils, StringUtils, CollectionUtils, file and I/O helpers, as well as Reflection and AOP utilities, with code examples and usage notes for Java backend development.
This article explains how to design and implement a distributed lock using Redis, Spring AOP annotations, and a scheduled executor to automatically extend lock expiration, providing complete Java code examples, configuration details, testing procedures, and best‑practice recommendations for handling long‑running business operations safely.
This article explains how to achieve database read‑write separation in high‑concurrency Java applications by configuring master and slave data sources, implementing a routing DataSource, managing context with ThreadLocal, defining a custom @DataSourceSwitcher annotation, and applying AOP to switch between read and write operations.
Learn three practical strategies to prevent external exposure of specific APIs—isolating them in separate microservices, employing a Redis‑backed whitelist via the gateway, and using gateway‑added headers with AOP annotations—to enforce internal‑only access, complete with Java code examples.
This article walks through the design and implementation of a hand‑written Spring AOP module, covering core concepts such as Advice, Pointcut, weaving, proxy creation, and the integration of these components into a bean lifecycle to enable method‑level enhancements without modifying source code.
This article explains how to restrict certain APIs to internal network calls by comparing three approaches—microservice isolation, gateway + Redis whitelist, and gateway + AOP—and provides a complete Java implementation of the AOP solution with code examples.
This article explains how to protect time‑consuming business operations by using Redis as a distributed lock together with Spring AOP, covering annotation design, aspect implementation, lock acquisition, automatic renewal via a scheduled executor, and practical testing examples.
The article explains how to use Aspect‑Oriented Programming to globally intercept and rewrite Ajax and JSONP requests—both native and framework based—by extending Function.prototype, overriding DOM methods, and employing ajax‑hook and Axios interceptors, culminating in a runnable demo that redirects traffic from a‑domain to b‑domain.
This article reveals ten common Spring transaction pitfalls—including private methods, final modifiers, self‑invocation, missing @Service, wrong propagation, non‑transactional databases, swallowed or wrong exceptions, multi‑threaded calls, and nested transaction rollbacks—that can silently disable transaction management in Java backend projects.
This article explains three practical solutions for exposing internal‑only APIs in a Spring Cloud environment—separating services, using a gateway with a Redis whitelist, and applying a gateway‑plus‑AOP strategy—complete with code examples and deployment tips.
This article explains the concepts, advantages, and limitations of Java's JDK dynamic proxy and CGLIB proxy, provides step‑by‑step code examples for user registration validation, compares their mechanisms, and summarizes when to choose each approach in real‑world applications.
