Dike: A Benchmark Suite for Distributed Transactional Databases

Abstract

Distributed relational database management systems (abbr. DDBMSs) for online transaction processing (abbr. OLTP) have been gradually adopted in production environments. With many relevant products vying for the markets, an unbiased benchmark is urgently needed to promote the development of transactional DDBMSs. Current benchmarks for OLTP applications have not taken the challenges encountered during the designs and implementations of a transactional DDBMS into consideration, which expects to provide high elasticity and availability as well as high throughputs. We propose a benchmark suite Dike to evaluate the efforts to tackle these challenges. Dike is designed mainly from three aspects: quantitative control to evaluate scalability, imbalanced distribution to evaluate schedulability, and comprehensive fault injections to evaluate availability. It also provides a dynamic load control to simulate real-world scenarios. In this demonstration, users can experience core features of Dike with user-friendly interfaces.