AI Services, inspired by Spring Data JPA and Retrofit, offers a declarative Java API that abstracts LLM interactions, supporting input formatting, output parsing, chat memory, function calling, and RAG, with detailed examples using LangChain4j, custom Spring AI annotations, AOP aspects, and controller integration.
This article presents a continuously updated collection of over 100 Spring Boot 3 practical cases, demonstrating how to implement permission authentication using Spring AOP, custom annotations, JWT utilities, interceptors, a global exception handler, a security context, and a custom argument resolver, complete with test examples and screenshots.
This article explains why large SQL IN clauses cause performance issues or errors in MySQL and Oracle, and demonstrates a Spring Boot 3 solution that uses custom annotations, an AOP aspect, multithreading, and result handlers to automatically split and process the queries in batches.
This guide explains common scenarios for using custom Java annotations—such as logging, permission control, data validation, and caching—and walks through the step-by-step process of defining an annotation, applying it in Spring services, handling it with an AOP aspect, and testing the implementation in a Spring Boot application.
The Concept‑Download library lets SpringBoot developers replace verbose download code with a single @Download annotation that automatically handles classpath resources, local files, HTTP URLs, custom objects, compression and reactive streaming, simplifying batch and QR‑code ZIP exports.
This tutorial explains how to implement dynamic master‑slave MySQL switching in a SpringBoot 3.0.4 project using AOP and a custom @DataSource annotation, covering configuration, enum definitions, utility classes, aspect handling, and usage examples for both single and multiple data sources, including Oracle integration.
This article introduces a Spring Boot 3 case collection with over 100 permanent examples and then provides a complete tutorial on implementing audit logging using Spring AOP, SpEL, asynchronous processing, custom annotations, JPA entities, and batch persistence to efficiently record operation details.
Learn how to implement dynamic MySQL master‑slave switching in a SpringBoot project using AOP and custom annotations, ensuring automatic failover to the master when a slave fails, with detailed configuration, code examples, and guidance for multiple data sources and Oracle integration.
This guide explains how to use Spring Boot, AOP, and custom annotations to implement dynamic MySQL master‑slave data source switching, automatically falling back to the master when a slave fails, covering configuration, Maven dependencies, enum definitions, data source beans, routing logic, and usage examples.
This guide shows how to implement dynamic MySQL master‑slave switching in a SpringBoot 3 project using AOP and a custom @DataSource annotation, configuring Druid pools, defining a routing datasource, and automatically falling back to the master when a slave fails for high availability.
This article explains how to improve performance of massive IN‑list database queries in Java by defining custom Spring AOP annotations that automatically split the parameter list, execute the sub‑queries concurrently in a thread pool, and merge the results using a configurable return‑handling strategy.
This article presents seven practical methods for recording API request logs in Spring Boot 3, including Filter, HandlerInterceptor, AOP, event listeners, Logbook, custom HandlerMethod, and RestTemplate/RestClient interceptors, complete with code samples, configuration steps, and execution screenshots.
This article explains the concepts, lifecycle methods, and configuration of Spring Boot's Filter, Interceptor, and AOP mechanisms, compares their execution order, and shows code examples to help developers choose the right technique for adding cross‑cutting functionality without altering core business logic.
This article demonstrates how to simulate a high‑concurrency flash‑sale scenario using SpringBoot, MySQL, Mybatis‑Plus and JMeter, analyzes the overselling problem caused by premature lock release, and presents seven solutions—including lock‑first strategies, AOP, pessimistic and optimistic locks, and queue‑based approaches—along with code samples and test results.
This article explains how to improve performance of massive IN‑list queries in PostgreSQL by splitting the parameter list, executing the sub‑queries concurrently with a custom Spring AOP annotation, and merging the results using a configurable thread pool and return‑handling strategy.
This article explains how to improve performance of massive IN‑list queries in PostgreSQL by splitting the list, executing sub‑queries in parallel using a custom Spring AOP annotation, and merging the results with a configurable handler, providing a reusable solution for Java backend services.
This article explains how to prevent duplicate data submissions in a Spring Boot application by designing an idempotent mechanism using AOP and Redis, covering the concept, design strategy, custom annotation, aspect implementation, and a simple test controller.
This article explains how to make Spring AOP logging configurable at runtime by dynamically adding or removing Advice objects through custom endpoints, event listeners, and plugin management code, and demonstrates the approach with a complete example including service, controller, and aspect jar.
This article demonstrates how to apply class, property, method, and parameter decorators in TypeScript to create configurable, non‑intrusive front‑end components such as tables and forms, showing concrete code examples and explaining the underlying AOP concepts.
This article explains how to implement hot‑pluggable AOP in Spring by letting users enable or disable logging advice at runtime, covering prerequisite concepts, core logic, and a complete code‑first demonstration with dynamic proxy management.
This article explains Spring's transaction management, covering ACID principles, transaction propagation types, isolation levels, timeout settings, read‑only flags, rollback behavior, and the effect of asynchronous execution, supplemented with practical code examples and common pitfalls.
This article details the design, architecture, and step‑by‑step implementation of a Spring Boot log auditing plugin built with AOP, Maven plugins, auto‑configuration, thread‑pool execution, and optional message‑queue streaming to improve operation logging and exception tracing in backend services.
This article explains how to create simple AOP aspects in Spring Boot 3, then dives into complex scenarios such as combining pointcut expressions, sharing pointcuts across aspects, programmatic pointcut composition, and controlling advice execution order, providing clear code examples for each case.
This article explains how Spring Boot's built‑in logging filter, request and response caching wrappers, the OncePerRequestFilter base class, and AOP helper classes such as AopContext, AopUtils, and ReflectionUtils can be configured and used to record, modify, and monitor HTTP traffic and simplify proxy‑based programming.
This tutorial demonstrates how to implement flexible, module‑aware operation logging in Spring Boot 3 by combining custom @Log annotations, AOP aspects, and Spring Expression Language (SpEL) to capture dynamic data such as usernames, product names, and order totals.
This article explains how Spring's bean lifecycle uses a three‑level cache (singletonObjects, earlySingletonObjects, singletonFactories) to break circular dependencies, especially when AOP proxies are involved, and why a two‑level cache alone cannot guarantee correct singleton behavior.
This article demonstrates how to move authentication from the gateway to downstream microservices in a Spring Cloud Alibaba setup by disabling the gateway’s ReactiveAuthorizationManager, defining three custom security annotations, creating an AOP aspect to enforce them, and showing practical usage examples with role‑based access control and Feign calls.
This article explains how to automatically embed userId and orderId into log statements by defining log placeholders, storing these values in MDC via ThreadLocal, and using a custom @UserLog annotation together with Spring AOP to inject the data before method execution, complete with configuration and test examples.
This article explains how Spring AOP creates proxies using JDK dynamic proxies or CGLIB, outlines the limitations of each approach, and shows multiple ways—including XML, YAML, and annotations—to force CGLIB usage and resolve self‑invocation issues in Spring Boot applications.
This article explains how to build a scalable, maintainable permission control framework in Java by defining custom annotations, designing relational database tables, and using Spring AOP to intercept method calls for organization‑level, personal, limit, and special‑role checks, while providing implementation details and best‑practice recommendations.
This article explains how to ensure secure data transmission between front‑end and back‑end in a Spring Boot application by employing hybrid AES/RSA encryption, custom request wrappers, filters for decryption, and AOP for response encryption, complete with utility classes and testing examples.
This article presents a detailed overview of Spring's utility classes—including Assert, ObjectUtils, StringUtils, CollectionUtils, FileCopyUtils, ResourceUtils, StreamUtils, ReflectionUtils, and AOP helpers—provides code examples for each, and also contains promotional information about ChatGPT services and a developer community.
This article explores three practical approaches—microservice isolation, Redis‑based whitelist, and gateway‑AOP integration—to restrict internal‑only APIs, compares their trade‑offs, and provides step‑by‑step SpringBoot code examples for implementing the AOP solution.
This article explains why Spring transactions may fail, demonstrates simple examples with and without the @Transactional annotation, details the annotation’s definition and attributes, and provides a step‑by‑step source‑code analysis of transaction creation, commit, rollback, and cleanup in Spring 4.3.12.
This article explains three practical approaches—microservice isolation, Redis‑based whitelist, and gateway‑AOP header checks—to restrict APIs to internal calls only, and provides detailed Spring Cloud code examples for the preferred AOP solution.
This article explains CGLIB, a high‑performance bytecode library for creating Java dynamic proxies without interfaces, walks through implementation steps and core source‑code analysis, details the FastClass optimization that bypasses reflection, and compares CGLIB with JDK dynamic proxies.
This article demonstrates how to build a hot‑pluggable AOP solution in Spring by dynamically adding and removing Advice, Advisor, and related components through custom endpoints, event listeners, and Spring’s bean factory APIs, enabling users to control logging at runtime.
An in‑depth guide reveals thirteen common pitfalls that cause Spring’s @Transactional annotation to malfunction—ranging from unnecessary usage and proxy limitations to propagation misconfigurations and exception handling—plus practical demos and solutions to ensure reliable transaction rollbacks in Java backend development.
This article explains how to use Spring Boot's built‑in request logging, request/response wrappers, OncePerRequestFilter, and AOP utility classes such as AopContext, AopUtils, and ReflectionUtils, providing configuration snippets and practical code examples for backend developers.
This article explains how to automatically include userId and orderId in log messages by storing them in MDC, defining a custom @UserLog annotation, and using Spring AOP to inject the values at runtime, eliminating manual log parameter handling.
This article demonstrates how to automatically embed userId and orderId into Java log statements by defining log placeholders, storing these values in ThreadLocal and MDC, and using a custom @UserLog annotation together with Spring AOP to inject the context without manual code changes.
This article presents a comprehensive collection of frequently used Spring framework utility classes—including Assert, ObjectUtils, StringUtils, CollectionUtils, FileCopyUtils, ResourceUtils, ReflectionUtils, and AopUtils—explaining their purpose, typical use cases, and providing code snippets for each method to help developers avoid redundant implementations.
This article explains the most common reasons why Spring @Transactional annotations may become ineffective or fail to roll back, covering access‑modifier issues, final methods, internal calls, self‑injection, multithreading, unsupported table engines, mis‑configured propagation, exception handling, nested transactions, large‑transaction problems, and the advantages of programmatic transaction management.
This guide explains how to automatically inject userId and orderId into log statements in a Spring Boot microservice by configuring Log4j2 patterns, using MDC to store context variables, and creating a custom @UserLog annotation with an AOP aspect that populates the MDC before method execution.
This article explains why Spring transactions can become ineffective or fail to roll back, covering issues such as wrong method visibility, final methods, internal calls, missing Spring bean registration, multithreading, unsupported table engines, misconfigured propagation, exception handling, and offers practical solutions for each case.
This article demonstrates how to implement dynamic data source switching in a Spring Boot application by leveraging ThreadLocal and AbstractRoutingDataSource, providing step‑by‑step code examples for context holders, custom routing, annotation‑driven switching, and runtime addition of new data sources.
This article explains the decorator pattern and how Aspect‑Oriented Programming (AOP) can be used in JavaScript to dynamically extend object behavior, provides classic and Vue‑based code examples, discusses advantages and drawbacks, and outlines practical scenarios for applying decorators in front‑end development.
This guide explains SpringBoot's built‑in performance monitoring interceptors, demonstrates how to configure them with custom annotations, pointcuts, and advisors, and shows how to extend SimpleTraceInterceptor and CustomizableTraceInterceptor for detailed method‑execution logging and timing.
Learn how to simplify repetitive error-handling code in Spring Boot by creating a custom @ErrorHandler annotation that leverages Spring AOP to automatically log exceptions, with step-by-step instructions, required dependencies, annotation definition, aspect implementation, and usage examples.
AspectPro is a lightweight HarmonyOS runtime hook framework that, together with aspectProPlugin, enables comprehensive AOP capabilities such as method interception, parameter manipulation, and handling of non-writable properties, while the article details its core functions, limitations of system Aspect, and step‑by‑step implementation strategies.
This article explains how Spring's @Async annotation interacts with circular dependencies, why it triggers BeanCurrentlyInCreationException, and provides multiple strategies—including adjusting dependencies, using @Lazy, or tweaking bean factory settings—to solve the problem.
In Spring Boot you can customize JSON request and response handling by annotating fields with @JsonSerialize/@JsonDeserialize, registering a global ObjectMapper module, adding a PropertyEditor via @ControllerAdvice, creating a custom HttpMessageConverter, or using AOP interception, selecting the approach that matches your project’s complexity.
This article describes a Java‑based asynchronous processing SDK that leverages Spring AOP, transactional event listeners, Kafka, XXL‑Job, and MySQL to provide non‑intrusive, reliable, and eventually consistent background execution of business methods while preserving transaction integrity and offering configurable retry and compensation strategies.
This article explores three practical approaches—microservice isolation, Redis‑based whitelist, and gateway‑AOP header checks—to restrict certain APIs to internal network calls, and provides step‑by‑step SpringBoot code examples for implementing the preferred gateway‑AOP solution.
This article demonstrates how to implement hot‑pluggable AOP in Spring by allowing users to dynamically add or remove advice at runtime, covering prerequisite concepts, core logic, complete code examples, and test scenarios that show logging activation and deactivation without restarting the application.
This article explains the concept of idempotency, identifies which HTTP requests are naturally idempotent, discusses why idempotency is essential for retries, async callbacks, and message queues, and demonstrates a practical Java implementation using custom annotations, AOP, and Redis for token management.
The article explains common pitfalls in Java API design—such as inconsistent return formats, missing error handling, unnecessary parameters, and complex inputs—then proposes a unified ResultBean response model, controller conventions, and AOP-based logging and exception handling to improve code readability and maintainability.
This article explains the concept of dynamic proxies, compares Spring's JDK‑based and CGLIB‑based proxy implementations with code examples, and shows how they power Spring AOP for cross‑cutting concerns such as transactions and logging.
The article explains common pitfalls in Java API design—such as inconsistent return formats, missing error handling, irrelevant parameters, and improper use of maps or JSON strings—and demonstrates how adopting a unified ResultBean structure together with AOP can improve readability, error management, and testability of backend services.
This article explains how to let users dynamically enable or disable logging by managing Spring AOP advice at runtime, covering prerequisite concepts, core hot‑plug logic, detailed Java code for installing and removing plugins, a step‑by‑step demo, and a concise summary of the approach.
This article explains the fundamentals of finite state machines, introduces Spring Statemachine, demonstrates how to model order lifecycle states, configure persistence with memory and Redis, handle exceptions during state transitions, and use AOP to log transition results, providing complete Java code examples.
This article demonstrates how to use Spring's ApplicationContextInitializer together with Javassist to intercept class loading in a Spring Cloud environment, modify the bytecode of org.apache.commons.lang3.RandomStringUtils, and record method calls, handling parent‑child container initialization nuances.
This article demonstrates how to implement a hot‑pluggable AOP solution in Spring by exposing endpoints that let users dynamically add or remove Advice, covering the underlying concepts, core implementation code, a demo service, and test scenarios that show logging being enabled and disabled at runtime.
This article explains the fundamentals of finite‑state machines, introduces Spring Statemachine’s core features, walks through a complete Java implementation with database schema, persistence (memory and Redis), REST APIs, exception handling, and an AOP‑based solution for reliable state transitions.
This article explains nine typical scenarios that cause the Spring @Async annotation to fail—ranging from missing @EnableAsync to improper method visibility, return types, static or final modifiers, missing @Service, manual object creation, and incorrect component scanning—providing clear explanations and code examples for each case.
This article explains Spring AOP fundamentals, demonstrates XML‑based and annotation‑based configurations, and provides a comprehensive guide to using ProxyFactoryBean—including its properties, proxy‑interface and proxy‑class scenarios, CGLIB considerations, and wildcard interceptor matching—complete with runnable code examples.
The article explains how moving cache operations out of business code and into Spring Cache annotations—@Cacheable, @CachePut, and @CacheEvict—creates a clean, loosely‑coupled design, simplifies maintenance, and enables custom extensions such as breakdown protection and multi‑level caching for high‑concurrency applications.
This article explains how Spring solves circular dependencies by using a three‑level cache system, walks through the underlying source‑code execution flow, clarifies the purpose of each cache level, and discusses why the design is essential for AOP‑enabled beans.
In Spring Boot, using @Transactional and @Async on the same service method does not invalidate the transaction, but the asynchronous execution runs in a separate thread with its own transaction, isolated from the original thread's transaction due to AOP interceptor ordering.
This article demonstrates how to protect sensitive user information in a Java backend by encrypting data before storage, decrypting and desensitizing it on retrieval, and applying these rules automatically through custom annotations, reflection, and Spring AOP aspects.
This article describes a Java data isolation solution that adds an 'env' field to tables, uses a MyBatis interceptor to rewrite SQL for environment‑aware queries, and introduces custom annotations with AOP to selectively skip environment checks, detailing implementation, challenges, and best practices.
This article introduces the Go! AOP framework for PHP, outlines its key features, explains core AOP concepts, and provides a detailed, code‑rich tutorial on installing the library, creating an aspect kernel, defining aspects, and configuring optional caching options.
This guide explains how to define Spring AOP aspects with @Aspect, configure ProxyFactoryBean for fine‑grained proxy control, and create proxies programmatically using ProxyFactory, providing complete code examples and configuration details for Spring 6.1.2.
This article provides a comprehensive analysis of the Spring framework, covering its core concepts, main components such as IoC container, AOP, data access and web support, its modular and declarative features, and the author’s personal learning experiences and best‑practice insights.
This article describes how to achieve data environment isolation in a Java application by creating a custom MyBatis interceptor and annotation, allowing automatic SQL modification to handle env fields, reducing code changes, improving safety, and supporting flexible deployment across pre‑release, gray, and production environments.
This article explores how Java's annotation mechanism, introduced in JDK 5.0, can be leveraged to address concurrency challenges by providing thread-safety, locking, timeout, and asynchronous execution annotations, and discusses their integration with AOP for enhanced thread management and performance.
This article explains the fundamentals of Aspect‑Oriented Programming (AOP) in Spring, describes its core concepts such as pointcuts, advice, aspects, join points and weaving, and provides multiple Spring Boot examples—including simple @GetMapping logging, custom permission annotations, and the use of various AOP annotations—complete with full source code snippets.
This guide walks through essential Spring Boot 2.7.16 features—including bean lifecycle annotations, dependency injection methods, Java‑based configuration, conditional beans, event listeners, AOP, scheduled tasks, data access with Spring Data JPA, caching, exception handling, security, SpEL, configuration management, performance monitoring, and micro‑service components—providing concise code examples for each.
An in‑depth guide to Spring Expression Language (SpEL) covering its core features, evaluation contexts, parser configuration, collection handling, operators, variables, bean references, and a practical AOP case study, all illustrated with concise Java code examples.
This article explores the motivations, benefits, and step‑by‑step implementations of business operation logging, starting with a simple AOP‑annotation approach, advancing to AOP combined with Spring Expression Language for richer context, and finally leveraging MySQL binlog and time‑window techniques for low‑level, reliable change capture.
This article explains Spring's transaction mechanism, covering its reliance on database support, ACID properties, isolation levels, propagation attributes, programmatic and declarative management styles, and the underlying AOP implementation with concrete code examples.
This article explains the fundamentals of finite state machines, introduces Spring Statemachine's features, and provides a step‑by‑step guide—including code samples, persistence options, testing, and AOP‑based error handling—to implement reliable order processing flows in Java backend applications.
This article explains the fundamentals of finite state machines, demonstrates how to model order states using Spring Statemachine, shows persistence options with in‑memory and Redis stores, and provides advanced techniques such as exception handling, extended state tracking, and AOP‑based result logging for reliable state transitions.
This article examines the progressive design of business operation logging—from a basic AOP‑annotation approach, through an AOP‑SpEL enhancement, to a binlog‑based time‑window solution—detailing each method's implementation steps, trade‑offs, and practical considerations for robust audit and monitoring in enterprise systems.
This article explores the evolution of business operation logging in a Java backend, starting from a simple AOP‑annotation approach, advancing to AOP combined with Spring Expression Language for richer context, and finally leveraging MySQL binlog with time‑window processing to achieve comprehensive, low‑intrusion audit trails.
This article explains the concept of idempotency, identifies which API requests are naturally idempotent, discusses why idempotency is essential for retries, asynchronous callbacks, and message queues, and provides a step‑by‑step Java Spring implementation using custom annotations, AOP, and Redis for token management.
Aspect-Oriented Programming (AOP) separates cross‑cutting concerns such as logging, transactions, and security from core business logic, improving modularity, maintainability, and reusability, and the article explains its concepts, benefits, implementation methods (dynamic/static proxies, dedicated languages) and provides a Spring AOP code example.
This article demonstrates how to build a hot‑pluggable AOP solution in Spring by dynamically adding and removing Advice at runtime, covering the required concepts, core implementation code, a complete demo, and practical considerations for backend Java developers.
This article explains how to implement multi‑rule rate limiting in a distributed Java application using Redis, covering String‑based counters, Zset timestamp storage, Lua scripts for atomic checks, custom @RateLimiter annotations, key generation logic, and an AOP interceptor that enforces the limits.
This article explains how to implement a robust distributed retry mechanism using message queues, annotations, and AOP, providing configurable options, visual monitoring, and code examples to help developers achieve eventual consistency with minimal boilerplate.
This article explains how to implement a hot‑pluggable AOP mechanism in Spring by dynamically adding or removing Advice through custom endpoints and event listeners, covering core concepts, implementation code, a demonstration, and best‑practice considerations for backend developers.
This article explains why rate limiting is essential for high‑concurrency systems, defines rate limiting, introduces four common algorithms (fixed‑window, sliding‑window, leaky‑bucket, token‑bucket), provides Java code examples for each, compares their advantages and disadvantages, and shows practical usage with Guava's RateLimiter and AOP annotations.
This article explains two API rate‑limiting strategies—fixed‑window using Redis keys and sliding‑window using Redis sorted sets—detailing their principles, drawbacks, and providing complete Java implementations with Lua scripts, AOP annotations, and Redis configuration to enforce request limits.
This article presents a comprehensive design and implementation of a customizable data permission framework for Java backend applications, detailing the requirements, rule table structure, strategy pattern handling, custom annotations, AOP integration, and practical examples with full source code snippets.
This article explains why duplicate form submissions occur, the risks they pose, and demonstrates a Spring Boot solution that uses a custom @RequestLock annotation together with Redis SETNX to generate a unique key and block rapid repeated requests, complete with project setup, code examples, and usage instructions.
This article presents a comprehensive solution for decoupled operation‑log recording in multi‑project backend systems, detailing the design goals, technology choices such as AOP, annotations, SpringEL and MongoDB, the system architecture, implementation steps, a practical case study, and future enhancements.
The article outlines how the Taobao “Calm Guard” project accelerates rapid‑iteration development by employing reusable patterns—including a Spring‑based Strategy registry, a hierarchical fatigue‑control framework, generic cache upsert via functional parameters, and precise AOP aspects—resulting in faster, more stable, and maintainable code.
This article explains how to design and implement a distributed rate‑limiting solution that supports multiple concurrent rules—such as per‑minute and per‑hour limits—by analyzing the shortcomings of simple string counters, introducing atomic Lua scripts and Zset structures, and providing complete Java annotation and AOP code examples.
This article explains how to implement a hot‑plugable AOP mechanism in Spring that lets end users enable or disable logging advice at runtime by dynamically adding or removing Advice, Advisor, and Proxy definitions through custom endpoints and event listeners.
By inserting a custom AopTransformer into Flutter’s front‑end compilation pipeline before optimization, the proposed Dart AOP solution automatically injects logging hooks that capture full‑stack user interaction paths and business state without modifying business code, delivering zero‑impact, maintainable instrumentation for improved debugging and app stability.
