Seasoned Java and mobile developer with years of experience, specializing in mini‑programs, public accounts, and full‑stack front‑end development. In the AI era, I continuously learn to broaden my knowledge and evolve. I revived a public account I started a decade ago during a dessert‑startup venture, using code as a vessel and knowledge as a companion. I share personal projects, technical articles, programming tips, and growth insights—let’s improve together and set sail.
Many developers write messy SQL or generate slow reports because they don’t know built‑in functions; this guide compiles the most frequently used string, date, math, and conversion functions—complete with ready‑to‑copy examples—to handle 99% of everyday data‑processing scenarios.
This article explains what MySQL sharding and partitioning are, when they are necessary, outlines four splitting patterns, details four sharding key strategies, shows a production‑ready Sharding-JDBC configuration, and discusses five common distributed challenges with practical solutions.
This article explains how hash tables achieve near‑constant‑time lookups by hashing keys to direct storage slots, compares their speed to arrays, linked lists, stacks, and queues, shows real‑world uses, demonstrates a full Python implementation, and warns about common pitfalls.
This tutorial explains the FIFO principle of queues with everyday analogies, compares stacks and queues, lists core operations, provides a full Python implementation, demonstrates real‑world scenarios like server requests and printer jobs, and highlights common beginner pitfalls.
This guide explains what the MySQL slow query log records, why it is essential for production, when and how to enable it temporarily or permanently, key parameters to tune, how to simulate slow queries, interpret log fields, use mysqldumpslow for aggregation, follow a step‑by‑step optimization pipeline, and avoid common pitfalls.
This article introduces the stack data structure, explains its LIFO principle with everyday analogies like browser back and undo, compares it to arrays and linked lists, provides a complete Python implementation, demonstrates a simple undo simulation, and highlights common pitfalls for beginners.
This tutorial explains linked lists with a vivid array‑vs‑list analogy, outlines their core structure, shows real‑world scenarios, provides fully commented Python code with sample output, and highlights common pitfalls and a quick decision guide for choosing between arrays and linked lists.
This article explains arrays using a locker analogy, outlines their core characteristics and typical use cases, provides a complete Python example for basic operations with output, and highlights common beginner pitfalls such as zero‑based indexing and fixed length.
The article explains that MySQL’s EXPLAIN command acts as a SQL health check, detailing each of its 12 fields—especially type, key, rows, and Extra—while providing real‑world examples, a step‑by‑step diagnostic workflow, and common pitfalls to help developers reliably tune and troubleshoot queries.
This concluding tutorial walks beginners through SQL Server stored procedures, highlighting their speed, reusability, and automation advantages over single statements and views, and demonstrates creating, invoking (with and without parameters), altering, and dropping procedures while sharing naming conventions and common pitfalls.
