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 explains the concepts, characteristics, default states, and usage patterns of MyBatis first‑level (SqlSession) and second‑level (Mapper) caches, provides Java code demos for each, and compares their scope, lifecycle, consistency, and suitable scenarios.
This article explains the MyBatis plugin mechanism, walks through implementing the Interceptor interface, configuring the plugin in mybatis-config.xml, provides a complete code example, and outlines common use cases such as SQL logging, performance monitoring, permission control, and automatic field filling.
This article compares Git's merge and rebase commands by walking through a realistic two‑developer scenario, illustrating fast‑forward versus non‑fast‑forward merges, conflict resolution differences, commit‑history rewrites, and practical recommendations on when to choose each approach.
This article explains MyBatis’s plugin mechanism, detailing the Interceptor interface methods, how plugins form an interceptor chain to wrap core components like Executor, and provides a step‑by‑step example of a logging plugin with code and configuration, illustrating the runtime flow and extension capabilities.
The article shows how to replace repetitive System.currentTimeMillis() timing code with a concise TimeTracker utility that leverages try‑with‑resources, functional interfaces, and flexible exception handling to achieve millisecond‑level measurement and dramatically improve code readability and performance.
This article reviews the most popular AI‑powered coding plugins for IntelliJ IDEA, detailing their features, ideal scenarios, installation steps, advantages, limitations, and practical effects, and provides a comparison table and recommended tool combinations for different development needs.
This article explains the fundamental differences between Spring MVC interceptors and servlet filters—including definition, scope, configuration, lifecycle, and execution timing—and details their processing order with illustrative code samples and a request flow diagram.
In the age of large‑model AI, code can be generated up to an 80‑point prototype with a single prompt, but turning that prototype into a reliable, secure, high‑performance product still requires engineers to perform the painstaking 20‑point post‑processing work.
Redis Cluster can lose writes due to asynchronous replication, network partitions, inadequate persistence settings, or unconfirmed client operations, but enabling AOF, configuring replication acknowledgments, using Sentinel or built‑in HA, and adding client retry logic can mitigate these risks, as demonstrated with a Java Jedis example.
A code‑review anecdote shows that developers often apply heavyweight patterns like Abstract Factory, Event Sourcing, CQRS, and DDD to simple payment processing, leading to unnecessary complexity; the article explains why this happens, which patterns truly belong in micro‑service backends, and offers practical, lightweight alternatives together with concrete code examples and review guidelines.
