After upgrading to Spring Boot 2.7.1 (Spring Framework 5.3.21), the execution order of @Around, @Before, and @After advice changes, leading to ThreadLocal data loss inside @Around, and the article explains the cause, reproduces the issue, and recommends using only @Around for reliable logic.
This article explains how to protect time‑consuming business operations in a Spring Boot application by creating a custom @RedisLock annotation, using Redis as a distributed lock via AOP, implementing automatic lock renewal with a ScheduledExecutorService, and handling lock release and thread interruption.
This comprehensive guide walks you through Spring's core concepts—including IOC, DI, bean lifecycle, static and dynamic proxy patterns, AOP with annotations, and essential Spring annotations—while providing clear Java code examples and practical use‑cases for backend development.
This article explains the principles, advantages, and implementation details of Java's JDK dynamic proxy and CGLIB proxy mechanisms, providing step‑by‑step code examples that demonstrate how to enhance method calls such as user registration with validation logic.
The article presents a transparent data‑encryption framework for database security that uses an AOP‑based driver interceptor to rewrite SQL, encrypt/decrypt sensitive fields, manage performance with locks and caching, support configurable algorithms via SPI/YAML, and guide a three‑phase migration with minimal code intrusion.
This article explains how to achieve database read‑write separation in high‑concurrency Java applications by configuring master‑slave data sources, implementing a routing datasource, managing context with ThreadLocal, and using custom annotations with AOP to switch between read and write databases at runtime.
This tutorial explains how to build a lightweight log management module by defining a custom @SystemLog annotation, using Spring AOP to capture method execution details, and sending the log data through RabbitMQ via Spring Cloud Stream for asynchronous persistence in a database.
This article explains the origins and purpose of Spring transactions, demonstrates how to quickly set them up with code examples, explores key features and common pitfalls, and provides an in‑depth comparison of the REQUIRED, REQUIRES_NEW, and NESTED propagation types for robust backend development.
This article explains common pitfalls of Spring's transaction management—including AOP proxy limitations, unchecked exception handling, self‑invocation, asynchronous execution, multiple data sources, and large transaction issues—and provides practical solutions such as using class‑based proxies, configuring rollback rules, and splitting transactions into smaller units.
This article explains how to handle time‑consuming Excel uploads by using a template‑method design, wrapping the process with an AOP aspect, and executing the actual upload asynchronously in a thread pool, while recording logs and error details for later inspection.
This article provides a comprehensive analysis of Spring AOP, covering its core concepts, configuration parsing, BeanFactoryPostProcessor and BeanPostProcessor mechanisms, namespace handling, the creation of advisors and advice from @Aspect annotations, and the proxy generation process that enables method interception.
This article explains how Spring implements various design patterns—including Simple Factory, Factory Method, Singleton, Adapter, Decorator, Proxy, Observer, Strategy, and Template Method—detailing their implementation approaches, underlying principles, and practical code examples within the Spring container.
This article explains Spring’s transaction propagation behaviors, rollback mechanisms, common pitfalls such as self‑invocation and non‑public methods, and demonstrates how to correctly use @Transactional with AOP proxies, including practical code examples and solutions for ensuring transaction consistency.
This article shares several practical coding techniques for backend development, including how to commit Kafka transactions safely, simplify Redis distributed lock usage with Redisson, implement AOP-based method locking, and decouple business logging using thread pools and asynchronous processing.
This article shares practical development techniques, including how to safely commit Kafka messages within transactions, simplify Redis distributed locks with Redisson, implement an AOP‑based lock annotation for method-level locking, and decouple business logging using asynchronous thread pools and helper utilities.
The article explains why a unified response format like ResultBean is essential for Java backend APIs, outlines common interface design mistakes, provides concrete coding guidelines for controllers, and demonstrates how to use AOP for exception handling and logging, all illustrated with practical code examples.
This article provides a comprehensive guide to Java's reflection mechanism, class loading process, ClassLoader usage, and dynamic proxy techniques, illustrating how to inspect class structures, create objects, access fields and methods, retrieve generic type information, and implement both static and dynamic proxies with practical code examples.
This article explains Spring's @Transactional annotation, detailing the various transaction propagation options, the default rollback behavior for unchecked exceptions, common pitfalls such as self‑invocation and non‑public methods, and how to use AOP proxies like AopContext.currentProxy and @EnableAspectJAutoProxy to ensure proper transaction management.
The article explains why a unified response format (ResultBean) is essential for Java Spring APIs, lists common interface design mistakes, provides concrete coding guidelines for controllers, and demonstrates how to use AOP for logging and exception handling with clear code examples.
This article explains common pitfalls in Java API design—such as inconsistent return formats, missing error handling, and inappropriate parameters—and demonstrates how a unified ResultBean, strict controller conventions, and AOP logging can dramatically improve code readability, maintainability, and error management in Spring Boot projects.
The article explains Spring's three‑level cache mechanism—singletonObjects, earlySingletonObjects, and singletonFactories—and how early exposure combined with BeanPostProcessor hooks enables the framework to break circular dependencies while still applying AOP proxies before full bean initialization.
This article explains how to handle large Excel uploads in Java by offloading parsing and validation to a thread pool, using the Template Method pattern to reduce boilerplate, and finally applying a custom AOP annotation to manage logging, error handling, and asynchronous execution in a clean, reusable way.
This article explains Spring's @Transactional annotation, detailing propagation behaviors, rollback rules, common pitfalls such as self-invocation and non‑public methods, and provides practical solutions using AOP proxies and AopContext to ensure proper transaction management in Java backend applications.
This article describes a backend solution that uses Redis for configurable rate‑limiting and interface switches, and Hystrix for circuit‑breaking, detailing the requirements, AOP‑based approach, and full Java code implementation for managing non‑core query overloads.
This article explains Spring's core features such as IoC, DI and AOP, demonstrates creating a simple Hello World service with Spring Boot, then shows how to implement the same functionality using raw Servlets and finally builds a miniature Spring‑like framework with custom annotations, an IOC container and a dispatcher servlet.
This article explores the challenges of mobile white‑box testing and presents an AOP‑driven solution that injects flow‑recording and replay code suites into Android and iOS apps, detailing technical goals, testability metrics, instrumentation techniques, and practical engineering outcomes.
This article introduces Spring Expression Language (SpEL), explains its common syntax, demonstrates quick-start examples, shows real-world usage with AOP monitoring, and outlines its internal implementation, providing a concise guide for backend developers working with Spring.
This article compares AspectJ and Spring AOP, explains the four types of Spring AOP support, details classic Spring AOP proxy creation, demonstrates various advice implementations, shows XML and annotation configurations, and introduces auto‑proxy creators for simplifying AOP setup in Java backend development.
This article explains how Spring resolves circular dependencies by using a three‑level cache and early bean exposure, detailing the roles of singletonObjects, earlySingletonObjects, and singletonFactories, and showing how Spring AOP proxies are applied during the process.
This article explains how to add a universal app‑key whitelist authentication feature to a Spring‑Boot web framework by using four different mechanisms—traditional AOP, HandlerInterceptor, custom HandlerMethodArgumentResolver, and a Servlet Filter—while comparing their execution order and extensibility.
This article explains how to prevent duplicate backend requests caused by rapid user clicks by creating a reusable @ApiLock annotation that leverages distributed locks, generates lock keys from request parameters, and integrates an AOP aspect to acquire and release locks around controller methods.
This article explains Spring's circular‑dependency solution, detailing the early‑exposure mechanism, the three‑level cache (singletonObjects, earlySingletonObjects, singletonFactories), how BeanPostProcessors and AOP proxies interact during bean creation, and why the third‑level cache is essential for correct bean wiring.
This article introduces Spring's Assert utilities, explains the purpose and usage of various Spring‑provided helper classes such as ObjectUtils, StringUtils, CollectionUtils, FileCopyUtils, ResourceUtils, ReflectionUtils, and AOP utilities, and provides code snippets illustrating their typical methods for validation, conversion, and reflection tasks in Java backend development.
This comprehensive guide walks through Spring’s fundamentals—including IoC, DI, core modules, common annotations, AOP concepts, transaction management, MVC workflow, and Spring Boot auto‑configuration—while also covering advanced topics such as bean lifecycle, circular dependencies, proxy mechanisms, and an introduction to Spring Cloud.
The article explains static and dynamic proxy patterns, demonstrates their Java implementations, and shows how Spring’s transaction management relies on dynamic AOP proxies—highlighting that internal calls within the same class bypass the proxy, preventing @Transactional methods from starting or rolling back transactions.
This guide explains Spring’s Assert utilities and a comprehensive set of core helper classes—including ObjectUtils, StringUtils, CollectionUtils, FileCopyUtils, ResourceUtils, StreamUtils, ReflectionUtils, AopUtils, and AopContext—detailing their purpose, typical use cases, and providing concise code examples for each method.
This article explains the design and implementation of a two‑level caching architecture using local Caffeine cache as L1 and remote Redis as L2 in Spring Boot, covering manual cache handling, annotation‑based management with Spring Cache, and a custom annotation with AOP to minimize code intrusion.
This guide explains how Spring Boot’s @Retryable annotation enables elegant, annotation‑driven retry logic, covering dependency setup, enabling retry, method annotation with configurable parameters, recovery handling via @Recover, and important AOP‑related considerations to avoid common pitfalls.
This article explains Spring's bean lifecycle, detailing how the framework resolves circular dependencies using a three‑level cache (singletonObjects, earlySingletonObjects, singletonFactories), and why a two‑level cache is insufficient, especially when AOP proxies are involved.
This article demonstrates how to create a request‑logging aspect in Spring Boot using AOP annotations, shows code for pointcuts, advices, high‑concurrency optimizations, exception handling, and trace‑ID propagation, and explains the underlying concepts and practical tips.
This Spring AOP tutorial explains how to modularize cross‑cutting concerns such as timing by defining an aspect with @Before, @After, @AfterReturning, @AfterThrowing and @Around advice, demonstrates refactoring a calculation service, and compares Spring’s proxy mechanisms to a custom JDK dynamic proxy implementation.
This article explains the background, concepts, and implementation details of Aspect‑Oriented Programming in Java, covering joinpoint interface design, advice abstraction, static and dynamic weaving, and how Spring AOP applies these principles with illustrative code and diagrams.
This article examines whether Go can achieve aspect‑oriented programming by comparing Java's AOP mechanisms, introducing the gohook library for runtime method interception, and demonstrating how to modify Go source code through AST transformations with concrete code examples.
This article explains how Spring's three‑level cache (singleton, early‑singleton, and singleton‑factory caches) works together with bean post‑processors to break circular dependencies and correctly create AOP proxies, while also showing how to disable circular references when needed.
This article explains three common situations where Spring's @Transactional annotation becomes ineffective—non‑public methods, internal self‑calls, and swallowed exceptions—detailing the underlying proxy mechanism, code examples, test results, and practical workarounds to ensure proper transaction management.
This article demonstrates how to create a Spring AOP request‑logging aspect that captures IP, URL, HTTP method, class method, parameters, results and execution time, and extends it with high‑concurrency handling, error logging, and TraceId propagation for better traceability.
This article explains the concept of Aspect‑Oriented Programming (AOP) and demonstrates how Python decorators—both function‑based and class‑based—can be used to implement AOP features such as pre‑ and post‑execution logic, handling arguments, preserving metadata with functools.wraps, and stacking multiple decorators.
This article explains how to create a Spring AOP request‑logging aspect, covering basic pointcut and advice definitions, parameter extraction, high‑concurrency optimizations with unified JSON logs, exception handling, and adding traceId support for end‑to‑end request tracing.
This article explains three common reasons why the @Transactional annotation may not work in Spring—non‑public methods, self‑invocation, and catching exceptions—provides code examples for each case, and details the underlying proxy and transaction management mechanisms to help developers resolve the issues.
This article explains Spring's bean lifecycle, the three‑level cache mechanism (singletonObjects, earlySingletonObjects, singletonFactories) used to break circular dependencies, the role of Aware interfaces and BeanPostProcessor, and why a second‑level cache is essential when AOP proxies are involved.
This article explains how Spring's @Transactional annotation works by leveraging AOP and dynamic proxies, detailing the bean post‑processor, pointcut definition, proxy creation, interceptor chain, TransactionInterceptor logic, and the transaction commit/rollback process with illustrative code snippets and diagrams.
This article explains why dynamic data sources are needed in high‑traffic Spring Boot applications, shows how to configure multiple databases via Maven, YAML and Java, and demonstrates a custom annotation‑driven AOP solution for seamless runtime routing.
This article introduces a Spring Boot starter that enhances native @Scheduled tasks with dynamic management capabilities, explains how to integrate the dependency, and details the underlying implementation using post‑processors, application runners, custom managers, and CGLIB‑based proxy chains to modify scheduling parameters at runtime.
This article provides a comprehensive overview of Spring's core utility classes—including Assert, ObjectUtils, StringUtils, CollectionUtils, FileCopyUtils, ResourceUtils, StreamUtils, ReflectionUtils, and AOP helpers—detailing their purpose, key methods, and practical code examples for robust backend development.
This comprehensive guide walks through Spring's lightweight Java framework, covering its core principles, key features, advantages and drawbacks, the design patterns it employs, core modules, IoC container mechanics, bean scopes, lifecycle, dependency injection techniques, and AOP fundamentals, all illustrated with diagrams and code snippets.
This article explains how Spring's bean lifecycle and its three-level caching mechanism—singletonObjects, earlySingletonObjects, and singletonFactories—work together to resolve circular dependencies, especially when AOP proxies are involved, highlighting why a three‑cache approach is necessary.
This article provides a comprehensive overview of Spring Framework’s core utility classes—including Assert, ObjectUtils, StringUtils, CollectionUtils, FileCopyUtils, ResourceUtils, StreamUtils, ReflectionUtils, and AOP helpers—detailing their purpose and key method signatures for developers working on Java backend projects.
The team enhanced the Dart AOP framework Aspectd to expose compile‑time module, class, method, and argument data, insert branch‑level instrumentation, and enable bulk injection via a configuration file, providing precise code coloring and automated test‑case recommendation for large‑scale Flutter applications.
This article explains the common Spring AOP annotations such as @Before, @After, @AfterReturning, @AfterThrowing and @Around, demonstrates how to set up a Spring Boot project, write an interface, implementation, aspect, and discusses execution order, multiple aspects, and proxy‑failure scenarios.
This article presents a curated collection of Spring Framework utility classes—including assertion helpers, object/array/collection utilities, file and resource IO tools, as well as reflection and AOP utilities—providing ready‑to‑use methods that replace many custom helper functions in Java backend development.
This article explains four Spring‑Boot techniques—traditional AOP, HandlerInterceptor, custom HandlerMethodArgumentResolver, and Servlet Filter—to perform generic authentication with code examples and a final comparison of their execution order.
This article explains how Spring’s @Transactional annotation leverages AOP dynamic proxies and the TransactionInterceptor to automatically manage transaction boundaries, reducing boilerplate code and allowing developers to focus on business logic.
This article explains the execution order of Spring AOP annotations, demonstrates why an @Around advice may invoke a method twice when ProceedingJoinPoint.proceed() is called multiple times, and provides corrected code to ensure proper single execution.
This article describes how ZTO's testing team created a centralized test‑tool platform that integrates front‑end and back‑end services, standardizes tool access, tracks usage via AOP, supports data generation, order creation, tracking, MQ messaging, and other platform integrations to dramatically improve testing productivity.
This article explains how to create a custom logging solution in Spring by defining annotation-based AOP aspects, configuring pointcuts, handling various advice types, and persisting log details such as user, operation, parameters, and results into a database using Java code examples.
This guide explains how to create a custom Spring AOP logging solution by defining a @SystemCrmlog annotation, extracting its parameters via pointcuts, and persisting detailed log entries—including user, method, parameters, and execution results—to a database using aspect advice methods.
Explore a comprehensive list of 18 essential Spring interview questions covering design patterns, core modules, IoC, DI, AOP, proxy types, bean lifecycle, circular dependency resolution, transaction management, and Spring Boot auto‑configuration, complete with concise explanations and illustrative diagrams to help you ace your interview.
This article explains the proxy and decorator design patterns using a coffee analogy, provides complete Java code examples for static and dynamic proxies, discusses their differences, and shows how to implement a Spring‑like AOP mechanism with JDK InvocationHandler and cglib, while also warning about their limitations.
This article explains the concept of routing in Android applications, discusses why third‑party routing frameworks are often needed for large, componentized apps, outlines the essential features of a routing framework, and details the implementation techniques such as annotation processing, AOP injection, and service routing with concrete code examples.
This article explores Koa’s core AOP‑based architecture, demonstrates minimal implementations using koa‑compose and Node.js http, and proposes a microservice‑oriented framework that extends Koa to support HTTP, Thrift, WebSocket and other services, complete with abstract server designs and example code.
This article walks through the proxy and decorator design patterns using a coffee‑ordering example, compares their differences, explains how Spring AOP relies on proxy mechanisms, and demonstrates building a custom dynamic proxy for SMS cost tracking with JDK InvocationHandler and cglib.
This article explains why Spring's @Transactional annotation can silently fail in many typical situations—such as incorrect method visibility, final methods, self‑invocation, unmanaged beans, multithreading, non‑transactional tables, missing configuration, wrong propagation or rollback settings, nested transaction behavior, and oversized transaction scopes—and provides practical solutions to ensure reliable transaction management.
This article explains common reasons why Spring's @Transactional annotation can become ineffective—such as self‑invocation, non‑public methods, multiple data sources, incorrect rollback settings, and unsupported database engines—and provides concrete code examples and solutions to ensure proper transaction management.
This article explains how to prevent data leaks by encrypting configuration files and masking sensitive fields in Spring Boot applications using Jasypt, covering Maven setup, encryption/decryption methods, custom annotations, AOP implementation, and the underlying PBE algorithm details.
This article demonstrates how to create a Spring AOP request‑logging aspect that captures request details, parameters, results, execution time, and error information, and discusses enhancements for high‑concurrency environments by aggregating log data into a single JSON object.
This article compiles a comprehensive set of Spring interview questions covering design patterns, core modules, IoC, DI, AOP, proxy mechanisms, bean lifecycle, circular dependency resolution, transaction isolation and propagation, as well as Spring Boot auto‑configuration principles, providing concise explanations for each topic.
This tutorial explains how to implement read/write splitting in Spring Boot by configuring multiple data sources, creating a custom AbstractRoutingDataSource, and using AOP to dynamically route queries to master or slave databases based on method patterns and annotations.
This article explains how to implement clean, decoupled operation logs in Java applications using AOP, SpEL, custom annotations, and dynamic templates, covering use cases, implementation methods, code examples, parsing logic, context handling, and integration with Spring Boot.
This article explains the difference between system and operation logs, presents common log formats, and provides step‑by‑step implementations—including Canal binlog listening, log‑file recording, LogUtil helpers, and a full AOP‑based @LogRecord solution—while detailing template parsing, context handling, custom functions, and persistence in a Spring Boot environment.
This article explains how to add a reusable appkey whitelist check to a Spring‑Boot web framework by comparing four implementation methods—traditional AOP, Spring Interceptor, custom ArgumentResolver, and Servlet Filter—detailing their code, configuration steps, extensions, and execution order.
This article explains how Spring AOP annotations such as @Before, @After, @Around and @AfterReturning are defined, demonstrates their usage with concrete Java code, analyzes why @Around may be invoked twice, and provides the correct implementation and execution flow of advice methods.
This article explains the fundamentals of Aspect‑Oriented Programming, introduces AspectJ as a standalone AOP solution, demonstrates how to implement a HelloWorld example with compile‑time weaving, compares it with Spring AOP’s runtime proxies, and shows how CGLIB can be used for proxy generation.
This tutorial explains why API rate limiting is essential for high‑traffic Spring Boot services, introduces counter, leaky‑bucket, and token‑bucket algorithms, shows how to use Guava's RateLimiter, and demonstrates a clean custom‑annotation AOP solution to decouple rate‑limiting logic from business code.
This article explains how Spring's @Transactional annotation works by leveraging AOP and dynamic proxies, walks through the bean post‑processor and advisor setup, and details the core TransactionInterceptor code that manages transaction boundaries during method execution.
This article explains how to implement read/write separation in a Spring Boot application by configuring multiple data sources, creating a custom AbstractRoutingDataSource, using AOP to switch between master and slave databases, and demonstrates the setup with Maven, MyBatis, and JUnit tests.
This tutorial explains Java's proxy design pattern, bytecode manipulation, static proxies using AspectJ and JDK, dynamic proxies with JDK and CGLIB, and demonstrates how Spring AOP selects between these mechanisms, providing complete code examples for each approach.
This article explains why Spring @Transactional may become ineffective or fail to roll back in various situations—such as wrong method visibility, final modifiers, internal calls, missing Spring bean registration, multithreading, unsupported table engines, misconfigured propagation, swallowed exceptions, and improper rollback settings—while also offering practical solutions and best‑practice recommendations.
This article explains how Spring AOP weaves aspect code using dynamic proxies, why internal calls via this bypass proxy logic, and how to correctly configure and obtain proxied beans using JDK/CGLIB proxies, @EnableAspectJAutoProxy, @Autowired injection, and AopContext.
Learn how to use Spring Boot’s AOP features to automatically fill creator, creation time, updater, and update time fields for any DAO insert or update operation, eliminating repetitive code and ensuring consistent audit logging across all database tables.
This tutorial demonstrates how to leverage Spring AOP in a Spring Boot project to automatically fill common audit columns such as creator, creation time, updater, and update time for database tables, eliminating repetitive manual SQL handling and centralizing logging logic.
This article explains the differences between system and operation logs, explores various implementation methods such as Canal, file logging, LogUtil, and method annotations, and demonstrates how to achieve clean, dynamic, and decoupled operation logging in Java Spring applications using AOP, SpEL, custom functions, and a well‑structured logging context.
This article explains how to achieve read‑write splitting in a Spring Boot application by configuring multiple data sources, creating a custom AbstractRoutingDataSource, managing routing keys with ThreadLocal, and using AOP to automatically switch between master and slave databases for different CRUD operations.
This article explains why Spring AOP proxies are not applied when a bean invokes its own methods via the this reference, compares JDK and CGLIB proxy mechanisms, and shows how to enable proxy exposure or use AopContext to achieve the desired AOP behavior.
This article explains how third‑party JavaScript can provide features like commenting or app‑invocation through lightweight scripts, and explores product positioning, functional boundaries, and extensibility techniques such as aspect‑oriented callbacks and plugin systems with concrete code examples.
This article describes how Beike's Flutter team leveraged Flutter for Web to enable rapid online issue mitigation, detailing the compilation pipeline, platform‑specific challenges such as operating‑system detection and dart:io limitations, and the multi‑module disaster‑recovery architecture they built.
The article demonstrates how to implement elegant, business‑logic‑independent operation logging in Java back‑ends by using AOP‑driven annotations, SpEL dynamic templates, custom parse functions, thread‑local context, and a Spring Boot starter, offering flexible persistence and automatic operator retrieval.
This article explains how to achieve database read‑write separation in high‑concurrency scenarios using Spring Boot, covering the concepts of master‑slave architecture, configuration of multiple data sources, routing logic with AbstractRoutingDataSource, context management, custom annotations, AOP handling, and practical usage examples with code snippets.
This article demonstrates how to use Spring Boot's AOP features to automatically populate common audit columns such as creator, creation time, updater, and update time during DAO insert and update operations, eliminating repetitive manual SQL handling.
This article explores why Spring transactions may fail, covering seven common pitfalls such as incorrect method visibility, final methods, internal calls, missing Spring management, multithreading, unsupported table engines, and misconfigured propagation, and provides practical solutions to ensure reliable transaction handling.
This article explains the concept of idempotency, the common causes of duplicate submissions in web applications, and presents multiple backend solutions—including frontend button disabling, Post‑Redirect‑Get, session tokens, local locks with Content‑MD5, AOP aspects, and Redis distributed locks—accompanied by complete Java code examples.
