This guide walks you through preparing the environment, adding the RadonDB MySQL operator repository, deploying the operator, installing a MySQL cluster, and verifying the deployment on KubeSphere, providing all necessary commands and screenshots for a successful high‑availability setup.
This guide explains the background of TPC‑C, its key concepts, and provides a detailed, container‑based procedure for setting up the environment, preparing data, running the benchmark on RadonDB MySQL in Kubernetes, and interpreting throughput and price‑performance results.
An in‑depth interview with QingCloud’s senior database engineer Zhang Yanfeng reveals the motivations, design choices, high‑availability architecture, auto‑sharding features, competitive advantages, and open‑source strategy behind RadonDB, the MySQL‑powered NewSQL distributed database.
RadonDB is a next‑generation cloud‑native distributed relational database that combines the Raft consensus protocol with MySQL to deliver high availability, strong consistency, seamless scalability, and native support for OLTP, OLAP, distributed transactions, and comprehensive monitoring and backup features.
This article reviews RadonDB, a MySQL‑based distributed database, detailing its architecture, SQL, storage, and compute nodes, sharding strategy, data‑balancing mechanisms, migration process, and practical recommendations for DBAs seeking high‑availability and consistent relational data handling.
