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JD Tech
JD Tech
May 27, 2026 · Databases

DongSQL V1.2.0: Dual Performance and Stability Gains for Retail Databases

DongSQL V1.2.0 introduces a suite of kernel upgrades—including group‑commit unicast, semi‑sync replication tweaks, plan‑cache, single‑point query enhancements, massive‑table fast startup, SIMD acceleration, hotspot‑row updates and high‑volume testing support—delivering significant performance and stability improvements across diverse retail workloads.

Database PerformanceDongSQLHigh‑Volume Testing
0 likes · 24 min read
DongSQL V1.2.0: Dual Performance and Stability Gains for Retail Databases
JD Tech
JD Tech
May 13, 2026 · Databases

Deep Dive into Using JSON Fields in Databases: Practical Lessons and Pitfalls

This article walks through the rationale, common functions, and real‑world case studies of storing and querying JSON columns in a relational database, exposing issues with null handling, batch updates, and dynamic SQL generation, and presents step‑by‑step debugging and robust solutions.

Batch UpdateDatabaseDynamic Queries
0 likes · 11 min read
Deep Dive into Using JSON Fields in Databases: Practical Lessons and Pitfalls
JD Tech
JD Tech
May 8, 2026 · Databases

Engineering Wisdom Behind High‑Availability Architecture for E‑Commerce Storage Layers

The article analyzes how to design a high‑availability architecture for large‑scale e‑commerce systems, detailing layered risk isolation, stateful storage strategies for flow and state data, unified document‑ID routing, multi‑replica databases, multi‑datacenter synchronization, and real‑world JD case studies that demonstrate elastic scaling and disaster recovery.

database replicationdistributed architecturee-commerce
0 likes · 17 min read
Engineering Wisdom Behind High‑Availability Architecture for E‑Commerce Storage Layers
JD Tech
JD Tech
Apr 23, 2026 · Backend Development

How JD Upgraded Its B‑Side Order Storage Architecture to Tackle Elasticsearch High‑Concurrency Pressure

Facing explosive merchant growth and soaring order volumes, JD redesigned its B‑side POP order storage by isolating large tenants, applying double‑hash routing, expanding clusters, buffering updates, and automating data archiving, ultimately delivering a high‑performance, scalable Elasticsearch platform that sustains massive traffic spikes.

Backend ArchitectureData SkewElasticsearch
0 likes · 16 min read
How JD Upgraded Its B‑Side Order Storage Architecture to Tackle Elasticsearch High‑Concurrency Pressure
JD Tech
JD Tech
Apr 21, 2026 · Backend Development

How AI Can Co‑Create a Query‑Logging Feature: Two Paths, One Result

A test‑developer explores how AI can design and implement a query‑recording function for an insurance policy platform, comparing a code‑savvy approach with a low‑code approach, detailing architecture, AOP interception, async handling, code generation, review, and testing considerations.

AIAOPAsync
0 likes · 17 min read
How AI Can Co‑Create a Query‑Logging Feature: Two Paths, One Result
JD Tech
JD Tech
Apr 16, 2026 · Industry Insights

How JD Revolutionized Coupon Search with a Stream‑Batch Unified Architecture

This article analyzes JD's end‑to‑end upgrade of its retail coupon search infrastructure, detailing the business drivers, data‑skew challenges, the shift from dual KV and batch pipelines to a unified stream‑batch model built on Apache Doris, and the resulting performance, resource and stability gains across multiple scenarios.

Apache DorisBatch ProcessingCoupon Search
0 likes · 12 min read
How JD Revolutionized Coupon Search with a Stream‑Batch Unified Architecture
JD Tech
JD Tech
Apr 15, 2026 · Artificial Intelligence

How OpenClaw Powers Multi‑Channel AI Agents with Skills and Sub‑Agents

The article provides an in‑depth analysis of OpenClaw’s architecture, explaining why it was created, its layered design, the core ReAct loop, the Skill system, sub‑agent creation and management, fault‑tolerance mechanisms, tool policies, and how it extends the pi‑mono engine to support robust, multi‑channel AI agents.

AI agentsOpenClawReAct loop
0 likes · 20 min read
How OpenClaw Powers Multi‑Channel AI Agents with Skills and Sub‑Agents
JD Tech
JD Tech
Apr 9, 2026 · Databases

How DongSQL Solves E‑Commerce DB Overload, Flash‑Sale, and Plan Drift

This article analyzes JD's self‑developed database kernel DongSQL, describing its architecture, the challenges of overload, flash‑sale write spikes, cache consistency, execution‑plan drift, and thread congestion, and explains how hint‑based limiting, RETURNING syntax, statement outlines, and a built‑in thread pool address each issue.

DatabaseHintSQL optimization
0 likes · 22 min read
How DongSQL Solves E‑Commerce DB Overload, Flash‑Sale, and Plan Drift
JD Tech
JD Tech
Apr 3, 2026 · Backend Development

How to Achieve Lightweight Process‑Level Service Isolation in a Distributed Microservice System

This article analyzes the growing complexity of a distributed microservice platform and presents three isolation strategies—application splitting, Hystrix thread‑/semaphore isolation, and a lightweight process‑level grouping approach—detailing their implementation, trade‑offs, and practical results for high‑traffic promotions.

Backend ArchitectureDeploymentHystrix
0 likes · 9 min read
How to Achieve Lightweight Process‑Level Service Isolation in a Distributed Microservice System