Former senior programmer at a Fortune Global 500 company, dedicated to sharing Java expertise. Visit Feng's site: Java Knowledge Sharing, www.java1234.com
This article shows how to let users upload a JAR that implements a predefined interface, then hot‑deploy the new implementation at runtime using either Spring annotation‑based registration or plain reflection, including bean registration, removal, and a test harness.
This article explains how @Autowired and @Resource differ in Spring Boot, covering their injection mechanisms, priority rules, applicable environments, and code examples, helping developers choose the appropriate annotation based on type‑based or name‑based injection needs.
The article explains why adding Redis alone often remains slow, introduces a three‑level cache pyramid (L1 Caffeine, L2 Redis, L3 MySQL) built with Spring Boot 3, and shows how this design reduces request latency from 28 ms to 2 ms, cuts CPU usage by 35 % and achieves up to 14‑fold throughput improvement.
The article analyses the friction between XXL‑Job and a Nacos‑centric stack, proposes the JobFlow design that removes redundant registration, adds full‑link TraceId, strong sharding with distributed locks, intelligent retries and cloud‑native configuration, and demonstrates how these changes simplify operations and improve observability in microservice environments.
The article explains the concept of parent‑child containers in Spring, outlines three key benefits—modularization, scoped bean visibility, and configuration reuse—provides step‑by‑step XML and Java code examples, and shows how the containers integrate with Spring MVC to create a cleaner, more maintainable application architecture.
This guide walks through integrating Spring Boot with external services using RestTemplate, Feign, and WebClient, then compares full, incremental, and real‑time data‑synchronization approaches, providing step‑by‑step code examples, configuration details, and practical trade‑off analysis.
This guide explains how Spring Task turns Java applications into self‑managed schedulers, showing three quick steps to add the dependency, enable @EnableScheduling, and write @Scheduled methods, then dives into cron syntax, common use cases, pitfalls, performance tuning, and future enhancements.
