Former senior tech manager at Meituan, ex‑tech director at New Oriental, with experience at JD.com and Qunar; specializes in Java interview coaching and regularly shares hardcore technical content. Runs a video channel of the same name.
This article explains Elasticsearch’s near‑real‑time nature, its core mechanisms such as inverted indexes and tokenizers, common interview scenarios, search types, refresh strategies, and the difference between query and filter, helping readers understand when and why to choose ES for full‑text and complex queries.
This article presents a comprehensive guide to SQL performance tuning, covering real‑world interview scenarios, deep‑pagination pitfalls, and fifteen concrete optimization techniques—including index usage, limit tricks, proper joins, batch operations, and data‑type choices—to help developers write faster, more efficient MySQL queries.
This article explains what Netty is, why it’s essential for Java back‑end development, details its core components and high‑performance mechanisms such as the Reactor model, Zero‑Copy and object pooling, and shows how Netty handles TCP framing issues with practical decoding solutions.
The article outlines practical coding habits—thorough input validation, comprehensive logging, careful RPC handling, batch processing, cautious SQL execution, safe extensions, disciplined refactoring, minimal dependencies, data consistency, and avoiding over‑engineering—to help engineers write reliable, maintainable code.
This article explains the core trade‑offs of JVM tuning—short pause times versus high throughput—provides quantitative goals, outlines when tuning is needed, details step‑by‑step optimization procedures, and lists common GC strategies and command‑line parameters for effective Java performance tuning.
The article reveals why interviewers—often busy, lazy, or even harsh—quickly form opinions based on candidates' self‑introductions, outlines common pitfalls such as overly long or self‑indulgent pitches, and provides a concise, eight‑element formula plus practical practice tips for delivering an effective introduction.
This guide outlines a five‑level learning path for MySQL, starting with installation and basic queries, progressing through proficient use, deep understanding of locks, indexes and transactions, advanced performance tuning, and finally product‑level redesign, while recommending essential books and resources.
