GeoGauss: Strongly Consistent and Light-Coordinated OLTP for Geo-Replicated SQL Database

Author:

Zhou Weixing1ORCID,Peng Qi1ORCID,Zhang Zijie2ORCID,Zhang Yanfeng1ORCID,Ren Yang3ORCID,Li Sihao3ORCID,Fu Guo1ORCID,Cui Yulong1ORCID,Li Qiang3ORCID,Wu Caiyi1ORCID,Han Shangjun1ORCID,Wang Shengyi1ORCID,Li Guoliang4ORCID,Yu Ge1ORCID

Affiliation:

1. Northeastern University, Shenyang, China

2. Huawei Technology Co., Ltd, Beijing, China

3. Huawei Technology Co., Ltd, Shenyang, China

4. Tsinghua University, Beijing, China

Abstract

Multinational enterprises conduct global business that has a demand for geo-distributed transactional databases. Existing state-of-the-art databases adopt a sharded master-follower replication architecture. However, the single-master serving mode incurs massive cross-region writes from clients, and the sharded architecture requires multiple round-trip acknowledgments (e.g., 2PC) to ensure atomicity for cross-shard transactions. These limitations drive us to seek yet another design choice. In this paper, we propose a strongly consistent OLTP database GeoGauss with full replica multi-master architecture. To efficiently merge the updates from different master nodes, we propose a multi-master OCC that unifies data replication and concurrent transaction processing. By leveraging an epoch-based delta state merge rule and the optimistic asynchronous execution, GeoGauss ensures strong consistency with light-coordinated protocol and allows more concurrency with weak isolation, which are sufficient to meet our needs. Our geo-distributed experimental results show that GeoGauss achieves 7.06X higher throughput and 17.41X lower latency than the state-of-the-art geo-distributed database CockroachDB on the TPC-C benchmark.

Funder

National Social Science Foundation of China

TAL education

National Natural Science Foundation of China

Beijing National Research Center for Information Science and Technology

CCF-Huawei Populus euphratica Innovation Research Funding

Fundamental Research Funds for the Central Universities

Publisher

Association for Computing Machinery (ACM)

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