This article explains why the @Transactional annotation fails in Spring when using multithreading, demonstrates a failing example, and provides a solution using manual SqlSession management to guarantee that all database changes are rolled back if any thread encounters an exception.
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 explains how to guarantee transactional integrity when importing a 100,000‑row Excel file with asynchronous threads in Spring, covering double‑async optimization, Future and CompletableFuture handling, @Transactional pitfalls, manual transaction control, and a complete solution for cross‑thread transaction management.
The solution introduces a plug‑in architecture that uses a custom URLClassLoader to load governance task JARs at runtime, registers their Spring beans and @XxlJob handlers with XXL‑Job, and provides unload logic to deregister jobs, destroy beans, and update configuration via YAML or Nacos without restarting the service.
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 provides a comprehensive analysis of Spring's @Autowired annotation, covering its usage, the bean lifecycle stages where it operates, the core classes and methods that implement it, and a comparison with other injection annotations such as @Resource, all illustrated with runnable code examples.
This comprehensive guide walks you through the most useful Spring framework utility classes—including Assert, StringUtils, CollectionUtils, ObjectUtils, ClassUtils, BeanUtils, ReflectionUtils, Base64Utils, SerializationUtils, HttpStatus, and HtmlUtils—showing practical code examples and explaining when and how to use each to streamline Java backend development.
This article explains how to implement dynamic loading, upgrading, and unloading of data‑governance tasks in a Java Spring application using a custom URLClassLoader, integrate the tasks with the XXL‑Job scheduler, manage Spring bean registration, and persist configuration changes via local YAML or Nacos.
This article analyzes the growing risk of personal data leakage, defines data masking, compares common log‑masking techniques, and presents a comprehensive Java‑Spring solution that combines annotation‑based marking, custom Jackson serializers, and extended SLF4J methods to achieve precise, low‑overhead log masking.
This article provides an in‑depth tutorial on Spring Validation, covering simple usage, requestBody and requestParam/PathVariable validation, unified exception handling, advanced techniques such as group, nested, collection and custom validation, programmatic validation, fail‑fast mode, and the underlying implementation mechanisms within Spring MVC and Hibernate Validator.
The article details two incidents where a misconfigured Spring Bean caused thread blockage and Full GC in a Java backend, explains the step‑by‑step debugging using thread and GC dumps, and presents the code changes that finally eliminated the memory leak.
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 explains how to design a plug‑in style architecture for data‑governance tasks by creating a custom URLClassLoader, dynamically loading JARs into a Spring context, registering and deregistering XXL‑Job handlers, updating configuration via YAML or Nacos, and finally unloading resources without restarting the service.
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 the core concepts of Spring's @Autowired dependency injection, illustrates common mistakes such as unresolved circular dependencies and bean name collisions, and provides detailed solutions including constructor injection, qualifier usage, and bean priority annotations.
This article introduces the most useful Spring framework utility classes—including Assert, StringUtils, CollectionUtils, ObjectUtils, ClassUtils, BeanUtils, ReflectionUtils, Base64Utils, SerializationUtils, HttpStatus, and HtmlUtils—providing clear explanations, code examples, and practical tips to improve development efficiency and code quality.
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 why and how to replace OpenFeign with native Spring HttpInterface alternatives such as Apache HttpClient, OkHttp, and RestTemplate, covering security motivations, configuration details, code examples, and practical recommendations for microservice remote calls.
This article explains why request debounce is essential for preventing duplicate submissions, outlines which APIs need protection, and walks through two distributed‑lock solutions—shared Redis cache and Redisson—showing concrete annotations, key‑generation logic, and Spring‑AOP code with full test results.
This article examines common scenarios that cause Spring transaction management to fail—such as non‑public methods, swallowed exceptions, incorrect rollback settings, self‑invocation, final methods, wrong propagation, asynchronous threads, unsupported database engines, and misuse of @Transactional—and provides concrete code‑level solutions to ensure reliable transactional behavior.
This article demonstrates how to build a Spring‑based API rate‑limiting solution using an Interceptor and Redis, covering the basic principle, project setup, code implementation, custom annotation with reflection for flexible limits, handling path‑parameter keys, real‑IP acquisition, and practical considerations for production use.
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 reviews six practical approaches for scheduling recurring jobs in Java—including custom threads, JDK ScheduledExecutorService, Spring @Scheduled, Quartz, Elastic‑Job, and XXL‑JOB—highlighting their usage, configuration steps, and considerations for clustering and concurrency.
Understanding asynchronous execution in Java can dramatically reduce latency for tasks such as sending SMS, emails, or updating data, and this article walks through eight practical implementations—from raw Threads and Futures to Spring @Async, ApplicationEvent, message queues, ThreadUtil, and Guava ListenableFuture—complete with code samples and best‑practice tips.
This article explains how Java annotation processors work, why @Transactional requires rollbackFor=Exception.class to roll back checked exceptions, and provides a complete example of a custom processor using auto-service to enforce this Spring transaction configuration.
This article explains Spring’s event mechanism, covering its observer‑based design, benefits such as decoupling and asynchronous handling, standard framework events, and advanced generic event techniques using subclassing or ResolvableTypeProvider to achieve type‑safe, flexible event publishing.
This guide walks through Spring 6’s new capabilities—including Java 17 baseline, Jakarta namespace migration, HTTP interface proxies with @HttpExchange, WebClient integration via JDK HttpClient, internationalized ProblemDetail handling, the RestClient API, and executing asynchronous tasks on virtual threads—all demonstrated with concise code examples.
This article explains how to implement unified, user‑friendly exception handling for Feign‑based service calls in a Spring distributed architecture by customizing ErrorDecoder, defining result objects, and using global @ControllerAdvice to return clear error codes and messages to front‑end users.
This article explains how to prevent API abuse by using a Spring Interceptor combined with Redis to count requests per IP and URI, demonstrates step‑by‑step code implementations, discusses custom annotations, mapping rules, time‑window challenges, path‑parameter handling, and real‑IP extraction for robust backend rate limiting.
This article walks through eight practical ways to implement retry mechanisms for remote API calls in Java, covering simple loops, recursion, Apache HttpClient settings, Spring Retry, Resilience4j, custom utilities, asynchronous thread‑pool retries, and message‑queue based retries, while highlighting trade‑offs and best‑practice guidelines.
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 explores Spring 5.3.23’s core utility classes—including ID generators, concurrent LRU cache, concurrency throttling, StopWatch timing, digest calculation, method invocation, reflection helpers, route matching, collection utilities, and placeholder parsing—providing code examples, usage guidelines, and best practices to boost backend development efficiency.
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 Spring's seven transaction propagation modes, how they affect nested @Transactional method calls, and the resulting commit or rollback behavior in various scenarios, providing clear examples and diagrams for each propagation type.
This article demonstrates step‑by‑step how to prevent API abuse in a Spring MVC application by using an Interceptor combined with Redis for counting requests, customizing limits per endpoint through annotations and reflection, handling mapping rules, path‑parameter challenges, and obtaining the real client IP.
This article explains why manual property copying in Java is inefficient, compares several runtime bean‑copy utilities, and demonstrates how MapStruct provides a compile‑time, type‑safe, high‑performance solution for shallow and deep object mapping, including handling of collections and ignored fields.
Spring developers should replace the deprecated RestTemplate with the reactive WebClient, which offers non‑blocking I/O, a fluent functional API, streaming support, richer error handling and configurable timeouts, while still allowing synchronous calls via block(), as demonstrated by practical Spring Boot 3 code examples.
This article explains how Spring's @Configuration annotation triggers CGLIB proxy generation to manage @Bean methods, ensuring that internal calls return the same singleton instance, and contrasts this behavior with using @Component for configuration classes.
This article explains Spring's bean scopes—including singleton, prototype, request, session, and application—detailing their lifecycles, appropriate use cases, and how to configure them with code examples, while also covering common pitfalls and proxy solutions for web environments.
This tutorial explains how Spring's internationalization (i18n) works, covering core APIs, bean initialization, configuration for both classic Spring and Spring Boot, message resource files, placeholder usage, and convenient accessor utilities, with full code examples for seamless multi‑language support.
Spring’s transaction propagation defines seven behaviors—REQUIRED, SUPPORTS, MANDATORY, REQUIRES_NEW, NOT_SUPPORTED, NEVER, and NESTED—detailing how methods join, create, suspend, or nest transactions, and the article explains each type, practical scenarios, and how proper selection ensures atomicity, consistency, and correct rollback handling.
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.
This article explains how to execute two dependent tasks in parallel, guarantee their successful completion before a final step, and maintain transaction consistency across multiple threads in Spring by using CompletableFuture, programmatic transaction management, and a custom transaction‑resource copying mechanism.
This article explains the Chain of Responsibility design pattern, defines its three core roles, compares external and internal composition, demonstrates a lead‑filtering use case with Java and Spring code, and discusses benefits, drawbacks, and differences from the Strategy pattern.
This article examines the causes of slow startup in large Spring applications, presents visual analysis techniques and a toolbox—including Arthas, JVM Sandbox, Async Profiler, and Spring Startup Analyzer—and provides concrete installation, configuration, and optimization procedures that can reduce startup time by 70‑80% while improving development efficiency and resource utilization.
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 explores the challenges of slow Spring application startup in large Java projects, presents detailed analysis techniques, visualizations, and a suite of tools—including Spring Startup Analyzer, Arthas, and Async Profiler—to identify bottlenecks, and provides step‑by‑step optimization methods such as bean lazy loading, jar slimming, and configuration tweaks that can reduce startup time by up to 80% while improving resource utilization and deployment efficiency.
This guide walks through configuring the Alipay sandbox, adding Maven dependencies, setting up application.yml, implementing Java configuration classes, creating controller endpoints for payment, handling asynchronous callbacks, processing refunds, and using RabbitMQ delayed queues to auto‑cancel unpaid orders, all with complete code examples.
This article explains seven subtle issues when using Spring's BeanUtils.copyProperties—such as type mismatches, null overwrites, wrong imports, inner‑class copying failures, shallow copy side effects, and performance drawbacks—providing code examples and recommendations to avoid them.
Learn how to use Spring's @Nullable annotation (or its Java equivalents) to safely handle missing beans during dependency injection, avoiding startup errors, with code examples, underlying mechanism details, and comparisons to other approaches like required=false, Optional, and ObjectFactory.
This article explains the concept of idempotency, why it is essential for API reliability, and demonstrates four practical idempotency strategies—including database primary keys, optimistic locking, token validation, and Redis caching—implemented via custom annotations and the Strategy pattern in a Spring‑Boot Java project.
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.
This article explains how the open‑source AutoDev plugin builds an end‑to‑end AI‑assisted coding solution that fine‑tunes open LLMs, constructs a Unit Eval dataset, engineers prompts for unit‑test generation, and enforces quality through a unified write‑evaluate pipeline.
This article explains how to design a flexible approval workflow with serial, parallel, conditional, and mixed processes, defines the required database tables, shows UI mock‑ups, and provides Java Spring code for handling approval actions, including auto‑pass, delegation, and rule‑based field visibility.
This article outlines common pitfalls of using Spring's BeanUtils.copyProperties for object property copying in Java backend development, including type mismatches, null overwrites, incorrect imports, inner class issues, shallow copy behavior, and performance drawbacks, and advises caution when employing this utility.
This article explains how Spring's @Transactional(readOnly = true) works internally, shows the performance and memory advantages it brings, compares service‑layer and repository‑layer usage with concrete connection‑pool tests, and provides guidance on when to apply it in JPA‑based backend applications.
This article explains MyBatis's first‑level and second‑level cache mechanisms, illustrates common consistency problems caused by default cache settings in both distributed and single‑session scenarios, and provides practical recommendations such as adjusting localCacheScope or deep‑copying results to avoid cache pitfalls.
This article explains how to protect microservice APIs from tampering and replay attacks by using HTTPS, request signing, nonce‑timestamp mechanisms, and AppId/AppSecret authentication, and demonstrates a complete Java/Spring implementation with a responsibility‑chain based verification filter.
This article explains how to redesign a Java data model so that a single sessionId is stored at the outer level while multiple sceneId/sceneName pairs are nested inside a sceneList, and shows the required MyBatis mapper, XML mapping, service, and controller implementations.
This article analyzes a Spring MVC issue where a batch template download failed due to missing configuration, explores how @ResponseBody interacts with manual stream writes, presents code examples, debugging insights, and offers best‑practice recommendations for reliable file‑download endpoints.
This article explains why retry mechanisms are essential for distributed Java applications and walks through eight practical implementations—including loop, recursion, Apache HttpClient, Spring Retry, Resilience4j, custom utilities, asynchronous thread‑pool retries, and message‑queue based retries—plus best‑practice guidelines to avoid common pitfalls.
This article explains how Spring handles common circular dependencies between singleton Beans by employing a three‑level cache (singletonObjects, earlySingletonObjects, singletonFactories), detailing the prerequisites, cache structures, workflow, and key source code snippets that illustrate the underlying mechanism.
Spring 6 offers four powerful ways to perform remote HTTP calls—WebClient, RestTemplate, HTTP Interface, and RestClient—each with distinct APIs, configuration options, and usage patterns, and this guide walks through their setup, method signatures, request handling, and error management for Java developers.
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 provides a comprehensive overview of the lightweight XXL‑RPC framework, covering fundamental RPC concepts, the framework's architecture built on Spring and Netty, detailed provider and consumer implementations, various call types, and the service registry‑discovery mechanism, concluding with practical insights for developers.
Learn how to dramatically reduce startup time in large Spring applications by using spring-context-indexer to generate component indexes at compile time, configure Maven or Gradle dependencies, create manual or IDE‑generated index files, support custom annotations, and disable indexing when needed.
The article presents a collection of typical Java backend coding mistakes—ranging from misused ternary operators and poor parameter validation to logging pitfalls, dead code, improper exception handling, AOP self‑invocation issues, Redis resilience problems, and Excel file upload bugs—along with concrete examples, images, and corrected code snippets to help developers avoid and fix them.
This article analyzes the problem of scattered try‑catch blocks in Java services, explains why per‑controller exception methods are cumbersome, and presents a unified exception handling solution using @ControllerAdvice, custom Assert utilities, enum‑based error codes, and environment‑aware response formatting, all illustrated with concrete code examples and test results.
This article examines several drawbacks of the Spring framework—including performance overhead from reflection and proxies, complex configuration, steep learning curve, over‑reliance on the Spring ecosystem, hidden “magic” features, version compatibility challenges, and misuse of dependency injection—illustrated with Java code examples.
This guide explains Spring’s @Import annotation, covering three import strategies—direct class array, ImportSelector, and ImportBeanDefinitionRegistrar—through detailed code examples, usage scenarios, and important version notes, helping developers improve configuration management, code maintainability, and readability in backend Java applications.
This article explains how to use Apache Commons GenericObjectPool to implement a reusable process pool in Java, covering the underlying concepts, required dependencies, custom factory implementation, pool configuration, and example code for borrowing and returning pooled objects.
The article details a step‑by‑step investigation and optimization of a Java backend service that initially delivered only 50 requests per second under load, covering profiling, slow‑SQL fixes, thread‑pool tuning, JVM memory adjustments, and Spring bean creation overhead to approach the target 500 req/s.
A ToB system that seemed able to handle 500 requests per second stalled at 50 req/s due to hidden lock contention in prototype‑scoped Spring beans, slow SQL updates, excessive logging, and thread‑pool misconfiguration, prompting a step‑by‑step performance investigation and multiple optimizations.
This article provides a comprehensive guide to designing and implementing a unified exception handling framework in Spring Boot, covering the use of @ControllerAdvice, custom assertion interfaces, enum‑based error codes, standardized response structures, and practical testing scenarios to improve code readability and robustness.
This article explains how Spring’s FactoryBean mechanism enables seamless integration with MyBatis by detailing the roles of BeanFactory, SqlSessionFactoryBean, MapperScannerConfigurer, and MapperFactoryBean, and provides annotated code examples and XML configuration to illustrate the underlying process and its benefits for transaction management and thread safety.
This article presents a concise reference of Spring's Assert class, common ObjectUtils, StringUtils, CollectionUtils, file and stream copy helpers, as well as ReflectionUtils and AOP utilities, illustrating their purpose, typical usage scenarios, and providing ready‑to‑copy code snippets for Java backend development.
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 explains Spring’s type conversion system, introduces the core conversion service interfaces, demonstrates how to use GenericConversionService, DefaultConversionService, and WebConversionService, and provides step‑by‑step examples of custom converters, factories, generic converters, and their registration in Spring MVC.
This article explains the seven SOLID design principles, introduces the Chain of Responsibility pattern, demonstrates its application to a video‑review workflow with step‑by‑step Java code, and shows how to evolve the implementation from a basic chain to a Spring‑managed, fully open‑closed solution.
This article introduces a generic asynchronous processing SDK for Spring-based backend systems, explaining its purpose, advantages, underlying principles, components such as Kafka, XXL‑Job, MySQL, and Vue, design patterns employed, database schema, configuration via Apollo, usage examples, and deployment details.
This article explains the Chain of Responsibility design pattern, shows how to apply it to multi‑step product creation validation and expense‑approval workflows, walks through abstract and concrete handler implementations, dynamic configuration, and client execution with full Java code examples.
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 demonstrates why @Transactional fails in multithreaded Spring services, presents a thread‑pool based solution using manual SqlSession control to achieve full rollback across child threads, and provides complete code examples and test results illustrating both failure and successful transaction handling.
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.
This article explains the distinct origins, injection strategies, and internal processing of Spring's @Resource and @Autowired annotations, compares their behavior, and walks through relevant source code to illustrate how each annotation resolves dependencies.
This article explains why asynchronous processing is needed in evolving systems, outlines the goals of guaranteeing execution without blocking the main flow, and walks through a complete SDK design that uses Spring transaction events, Kafka, XXL‑Job, MySQL, and a Vue UI, including configuration, code snippets, and deployment details.
This article explains the concept of a local message table, shows how it can be used to achieve reliable distributed transaction consistency with MQ, and provides complete MySQL DDL and Java service code along with a retry mechanism and analysis of failure scenarios.
This article introduces a generic asynchronous processing SDK for Java back‑ends, explaining its purpose, advantages, underlying principles, components, design patterns, database schema, configuration, usage, and operational considerations, and provides complete code and configuration examples.
This article explains the business scenarios that drive the need for globally unique distributed IDs, analyzes the challenges of uniqueness, performance, and availability, and details Vivo's self‑built LuBan ID service—including its architecture, three ID formats, custom extensions, SDK usage, performance optimizations, and real‑world deployment metrics.
This article explains how to replace repetitive try‑catch blocks in Spring applications with a clean, assertion‑based approach combined with @ControllerAdvice and enum‑driven error codes, providing a unified way to handle service‑layer, controller‑layer, and unknown exceptions while keeping responses consistent and internationalized.
Faced with a client demanding 500 requests per second, I discovered my Java backend only handled 50 /s due to slow SQL, excessive logging, thread‑pool misconfiguration, and costly Spring bean creation; by adding latency alerts, async execution, reducing thread counts, and fixing Redis bean scope, throughput nearly doubled.
The article details a step‑by‑step performance investigation and optimization of a Spring‑based ToB system, covering slow SQL, thread‑pool tuning, JVM memory adjustments, excessive logging, and bean‑creation overhead, ultimately improving throughput from 50 req/s to nearly the required 500 req/s.
This document presents a series of real‑world examples showing how ChatGPT can assist cloud‑trading developers with backend tasks such as resource scheduling, regex interpretation, CSV generation, JavaBean‑to‑JSON conversion, Spring IoC learning, JSON formatting, Java 8 stream processing, and CI pipeline error analysis.
This article explores Apollo’s distributed configuration center, focusing on its core architecture and the implementation of HTTP Long Polling, including code examples, timeout considerations, and strategies to ensure reliable message delivery across multiple client nodes.
This article explains how to reduce repetitive Java backend code by extracting common logic into abstract classes, applying the Template Method and Factory patterns, using custom annotations with reflection for API serialization, and leveraging bean‑mapping utilities to copy properties between DTOs and DOs.
A Java ToB system struggled to meet a 500 requests‑per‑second target, revealing hidden bottlenecks such as slow SQL, excessive logging, thread‑pool misconfiguration, high CPU usage from Spring bean creation, and improper Redis usage, which were systematically identified and mitigated.
This article examines why local locks fail in distributed micro‑service environments, introduces Redis‑based distributed locking, walks through five incremental lock designs—from a simple SETNX implementation to a Lua‑script atomic solution—highlighting each scheme's trade‑offs, code examples, and practical pitfalls.
