Former Ant Group P8 engineer, pure technologist, sharing full‑stack Java, job interview and career advice through a column. Site: java-family.cn
This tutorial demonstrates how to let users upload a JAR that implements a predefined Java interface, then hot‑replace the implementation at runtime via reflection or Spring bean registration, covering interface definition, concrete classes, dynamic class loading, bean management, and testing.
This comprehensive guide explains why batch processing is essential, walks through typical banking, e‑commerce, logging and medical data scenarios, details Spring Batch's core architecture and components, provides step‑by‑step setup and code examples, and presents a production‑grade bank reconciliation case with monitoring and troubleshooting tips.
Learn step‑by‑step how to set up Graylog using Docker‑Compose, configure its inputs, and connect a Spring Boot application via Logback‑GELF, enabling centralized log aggregation and searchable queries across multiple service instances in a micro‑services environment.
This article explains the inner workings of Nacos' configuration center, detailing the client‑side long‑polling mechanism, the server‑side handling of listener requests, and the key classes and code paths that enable real‑time config updates in microservice environments.
This guide explains the fundamentals of memory leaks in Java, outlines common causes in Spring Boot, and provides step‑by‑step techniques—including GC log analysis, JConsole, VisualVM, MAT, Actuator, custom endpoints, jstack, BTrace, and best‑practice recommendations—to identify, diagnose, and prevent memory leaks for stable long‑running services.
This guide compares five Java Swing packaging approaches, evaluates their pros and cons, and demonstrates a custom WinForm tool that bundles a Swing app with a minimal JRE into a standalone executable, complete with example Maven configuration and source code.
This article explains what debounce means for web APIs, identifies which endpoints need it, describes how to detect duplicate requests, and provides complete Java implementations using shared Redis caches and Redisson distributed locks with code examples and key generation strategies.
This article explores practical performance‑optimization techniques, covering six fundamental time‑for‑space trade‑offs such as indexing, compression, caching, prefetching, peak‑shaving, and batch processing, followed by four advanced methods that boost parallelism like resource draining, horizontal scaling, sharding, and lock‑free programming.
This article explains why traditional single‑file uploads fail for large files, outlines the benefits of chunked uploading, and provides a complete Spring Boot implementation—including backend controllers, high‑performance merge logic, Vue front‑end code, enterprise‑grade optimizations, performance test results, and best‑practice recommendations.
KeyDB, a Redis fork, replaces the single‑threaded design with a multi‑threaded architecture using a main thread and worker I/O threads, SO_REUSEPORT, per‑thread connection lists, fastlock spin‑lock mechanisms, asynchronous pipelines, and active‑replica support, enabling higher concurrency while remaining 100 % Redis‑compatible.
