ZCY Technology Team (Zero), based in Hangzhou, is a growth-oriented team passionate about technology and craftsmanship. With around 500 members, we are building comprehensive engineering, project management, and talent development systems. We are committed to innovation and creating a cloud service ecosystem for government and enterprise procurement. We look forward to your joining us.
This article explains MySQL InnoDB's Multi-Version Concurrency Control (MVCC), covering its basic concepts, read/write scenarios, implicit fields, undo logs, read view mechanisms, transaction handling, and differences between RC and RR isolation levels, providing a comprehensive guide for developers.
This article explains what the Back‑Forward Cache (bfcache) is, how it works across browsers, the page lifecycle events involved, common pitfalls that prevent caching, and practical testing methods to ensure optimal front‑end performance.
This guide introduces Pinia, a lightweight Vue state‑management library, covering its installation, creation of a Pinia instance, defining stores in both options and setup styles, and detailed usage of state, getters, and actions with code examples, highlighting its simplicity compared to Vuex.
This article introduces Redisson, a high‑performance Java Redis client built on Netty, explains its key advantages, and provides a detailed walkthrough of the RedissonLock implementation—including tryLock, blocking lock, unlock logic, associated Lua scripts, and the automatic watchdog renewal mechanism.
This article introduces React Grid Layout, explains how to install and configure it, and provides detailed implementations of responsive breakpoint layouts, grid positioning, component rendering, drag‑and‑drop handling, and resizing logic, complete with code examples and performance considerations.
This article presents a complete workflow for predicting whether users will purchase a membership using logistic regression, covering data collection, feature selection, handling imbalanced samples, model training, hyper‑parameter tuning, threshold optimization, evaluation metrics such as accuracy, precision, recall, AUC, lift, and finally deployment on a big‑data platform with PySpark.
This article explains the fundamentals of database transactions, introduces Spring's @Transactional annotation, and enumerates nine typical situations—such as incorrect method visibility, final methods, self‑invocation, unmanaged beans, multithreading, wrong propagation, swallowed exceptions, unsupported exception types, and non‑transactional storage engines—where transactions may not work as expected, offering guidance to prevent these pitfalls.
This article explains Redis’s five core data object types—strings, lists, hashes, sets, and sorted sets—detailing their encoding schemes, underlying memory structures such as SDS, ziplist, linkedlist, hashtable, and skiplist, and how Redis optimizes storage and access performance.
This article introduces Lombok, explains how it leverages Java's annotation‑processing (JSR‑269) and abstract syntax tree (AST) modifications to generate boilerplate code at compile time, and provides a step‑by‑step guide to manually implement a @Getter annotation processor with full Maven project examples.
RFM analysis is a powerful tool for understanding customer value and behavior, enabling businesses to optimize marketing strategies, improve customer satisfaction, and increase business revenue through data-driven customer segmentation.
