The article outlines four AI‑driven breakthroughs reshaping data work—AI‑for‑Data automation, generative‑AI‑enhanced governance, NoETL real‑time lake ingestion, and next‑generation SQL analysis—detailing their problems, concrete case studies, implementation steps, pitfalls, and measurable efficiency gains.
This article provides a detailed walkthrough of JD’s open‑source sql‑analysis component, dissecting its eight functional modules, MyBatis interceptor flow, SQL extraction logic, query‑plan analysis, rule‑based scoring, and output strategies, while highlighting design patterns and potential extension points for developers.
This article introduces JD’s open‑source sql‑analysis component, explains its design based on a MyBatis interceptor, demonstrates how it analyzes SQL execution plans with Explain and a rule engine to warn about potential slow queries, and shows step‑by‑step usage and its advantages for early detection and rapid hot‑swap remediation.
This article introduces a MyBatis‑based SQL analysis component that detects and prevents slow queries before they impact production by performing real‑time EXPLAIN analysis, offering optimization suggestions, and enabling dynamic SQL replacement, while detailing its design, configuration, performance testing, and practical advantages.
This tutorial introduces DBLE middleware by covering quick Docker‑based installation, basic CRUD and sharding functions, advanced global sequencing and application management, and analysis tools for SQL query planning and slow‑query diagnostics, providing a concise hands‑on guide for developers.
This guide walks through a rapid 10‑minute troubleshooting workflow for MySQL and Oracle databases, covering resource checks, log inspection, wait‑event analysis, SQL identification, and feedback best practices to quickly pinpoint performance problems without relying on external monitoring tools.
