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OceanBase Unitization: Building the Next Generation of Online Map Applications

Quanqing Xu,Wei Sun,Chuanhui Yang,Jinlong Liu,Ziyun Wei,Fusheng Han,Liang Wang,Xiaowei Zhai

Published 2025 in IEEE International Conference on Data Engineering

ABSTRACT

Distributed database systems are extensively utilized to provide cloud services for online map platforms, offering consistency, disaster recovery, and high performance, whereas traditional systems relying on singly-homed architecture face challenges in scaling for large-scale services. In this paper, we propose the architectural design of OceanBase (OB), a distributed database system that “unitizes” services and operations into individual machines. The unitization approach migrates from a singly-homed to a multi-homed design across multiple regions. By leveraging this feature, OceanBase ensures data replication and seamless service handover when a machine goes offline. However, communication overhead between regions can sometimes be burdensome. To address this issue, OceanBase unitizes read and write operations, and employs a hybrid centralization and unitization approach that is dynamically optimized for Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP). To validate our design, we deploy OceanBase on AMap, an online map application platform supporting large-scale distributed services. Through a series of experiments, we demonstrate that OceanBase exhibits enhanced disaster tolerance capabilities and achieves improved performance for both write-intensive and read-intensive benchmarks.

PUBLICATION RECORD

  • Publication year

    2025

  • Venue

    IEEE International Conference on Data Engineering

  • Publication date

    2025-05-19

  • Fields of study

    Geography, Computer Science, Engineering, Environmental Science

  • Identifiers
    DOI 10.1109/ICDE65448.2025.00312
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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