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The article shares practical methods and code examples for making SQL both readable and high‑performing in large‑scale data platforms, covering predicate push‑down with subqueries, deduplication strategies, bucket utilization, and Python‑driven job parameter handling.
JD's retail supply chain team presents a data‑driven framework combining inventory selection and allocation algorithms—ML‑Top‑K, Reverse‑Exclude, and an end‑to‑end multi‑task learning model—that improve local order fulfillment, reduce stockout loss and allocation costs, and have been deployed across its RDC/FDC network.
This article details how JD's BIP procurement system tackled massive query‑performance challenges by segmenting order data, leveraging the JED distributed MySQL solution, introducing JimKV for hot‑data caching, and offloading complex searches to Elasticsearch, resulting in dramatically reduced load and faster user experiences.
This article details JD's self‑built HarmonyOS image library (DImage), covering its background, research on existing solutions, C++‑based cross‑platform architecture, core modules, performance‑focused pipeline, monitoring and recovery mechanisms, and future optimization directions, all aimed at high‑performance image handling for the JD app on HarmonyOS.
The article analyzes the stability problems faced by an e‑commerce inventory platform—including complex workflows, data accuracy, database hotspots, and high‑frequency calculations—and details a series of backend engineering solutions such as traffic splitting, gray‑release links, Redis caching, consistency checks, async rate limiting, and comprehensive monitoring to improve reliability and performance.
This article explores how Taro leverages C++ and the Harmony C‑API to build a high‑performance, cross‑language event system that unifies event handling across C++, ArkTS, and JavaScript, detailing architecture, event center implementation, node event processing, and future enhancements.
This article explains why consistent Java code style matters, reviews major industry style guides, shows how to choose and customize a style guide, and provides step‑by‑step instructions for configuring IntelliJ IDEA, Checkstyle, and Maven to enforce the standards in daily development.
This article presents a comprehensive study of generative retrieval for large‑scale e‑commerce search, comparing lexical‑based and Semantic‑ID‑based methods, introducing a Query‑to‑MultiSpan framework, analyzing the sand‑glass distribution problem in residual quantization, and proposing heuristic and adaptive solutions to improve recall and efficiency.
This article explains how multi‑table joins in MySQL can become performance bottlenecks and walks through the four join algorithms—Simple Nested‑Loop, Block Nested‑Loop, Hash, and Index Nested‑Loop—showing their execution plans, code examples, and step‑by‑step optimizations using indexes and join buffers to dramatically improve query speed.
This article details how a SpringBoot advertising platform service with startup times of 400‑500 seconds was analyzed and optimized through Actuator monitoring, log inspection, Tomcat TLD scan disabling, asynchronous HBase warm‑up, custom BeanPostProcessors, async JSF consumer initialization, Tomcat version tuning, and hardware upgrades, achieving roughly a 60% reduction in launch time.
