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Mastering IntelliJ IDEA's powerful debugging shortcuts and features—such as execution point navigation, step controls, conditional breakpoints, exception simulation, multithread handling, variable modification, and remote debugging—can dramatically reduce bug‑fixing time and make development up to ten times more efficient.
This article introduces MyBatis-Flex, a lightweight yet powerful MyBatis enhancement, compares its features and performance against MyBatis-Plus and Fluent-MyBatis, lists supported databases, and provides a step‑by‑step guide to integrate it into a Spring Boot project.
This tutorial shows how to extend MyBatis‑Plus functionality to the controller layer by creating a reusable BaseController, utility methods, pagination configuration, and concrete controllers, enabling full CRUD, list, page, and count operations with minimal code.
This article presents a comprehensive, step‑by‑step guide to optimizing API latency by applying batch processing, asynchronous execution, caching, pre‑processing, pooling, parallelism, indexing, transaction management, code refactoring, pagination, SQL tuning, and fine‑grained locking techniques.
This article introduces an open‑source tool that automatically generates all Java business code—including entity classes, DAO interfaces, SQL statements, service implementations, and controllers—for new database tables, dramatically reducing the hours spent on repetitive CRUD scaffolding.
This guide walks you through every essential feature of IntelliJ IDEA's Debug tool—pre‑setup, main UI, service and debug buttons, watches, variable inspection, conditional breakpoints, expression evaluation, frame rollback, force return, multithreaded, Stream and remote debugging—empowering you to troubleshoot Java code efficiently.
The MyBatis‑SQL‑Viewer plugin transforms MyBatis XML into executable SQL, offers mock data generation, SQL syntax and compliance checks, index analysis, performance stress testing, and seamless navigation between mapper interfaces and XML files, all without restarting the application.
This article explains how to organize Git branches for normal and parallel multi‑version development, compares merge and rebase workflows, and offers practical tips to keep version control clean and avoid risky merge mistakes.
A developer’s costly mistake using MySQL’s INSERT INTO SELECT for data migration led to massive OOM errors, a full‑table scan, lost payment records, and ultimately a $10 000 loss and termination, highlighting the need for proper indexing and careful testing.
This article details a real‑world performance case where a high‑concurrency interface processing over two million rows was diagnosed and optimized through SQL tuning, Java code refactoring, and caching, ultimately reducing response time from 30 seconds to under 0.8 seconds.
