TDSQL-Boundless: A Distributed Database System for Large-scale Heterogeneous Multi-Table Workloads

Companion of the International Conference on Management of Data 2026 Open access

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Authors: Yuxing Chen, Jie Jiang, Xiaolong He, Ziyi Lu, S. Han, Anqun Pan, Chong Zhu, Chang Liu, Xuan Zhao, Yu Li, Yan Tang, Dongzhi Zhao
+9 more Wen Zhang, Hailin Lei, Lixiong Zheng, Feng Zhang, Mingde Zhang, Yiteng Chu, Wei Lu, Yunpeng Chai, Xiaoyong Du
DOI: 10.1145/3788853.3803090
Cited by: 1
References: 33

Abstract

Traditional distributed databases achieve horizontal scaling of storage and computing via cross-server data sharding, enabling theoretical unlimited expansion. Yet, simple sharding strategies often fall short in real-world complex workloads with numerous heterogeneous tables. While modern databases enhance flexibility to some degree, they also escalate metadata management and distributed coordination overhead.

Fields of Study & Subjects

Advanced Database Systems and Queries Cloud Computing and Resource Management Data Management and Algorithms

Publication details

Journal / source
Companion of the International Conference on Management of Data
Publisher
ACM
Pages
252–265
Publication date
26 May 2026