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

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Ge YuAuthors Info & Claims

Proceedings of the ACM on Management of Data, Volume 1, Issue 1

Article No.: 62, Pages 1 - 27

https://doi.org/10.1145/3588916

Published: 30 May 2023 Publication History

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.

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Cited By

Li GTian WZhang JGrosman RLiu ZLi S(2024)GaussDB: A Cloud-Native Multi-Primary Database with Compute-Memory-Storage DisaggregationProceedings of the VLDB Endowment10.14778/3685800.368580617:12(3786-3798)Online publication date: 1-Aug-2024
https://dl.acm.org/doi/10.14778/3685800.3685806
Zhang ZHu HZhou XTu YQian WZhou A(2024)Fast Commitment for Geo-Distributed Transactions via Decentralized Co-CoordinatorsProceedings of the VLDB Endowment10.14778/3675034.367504617:10(2555-2567)Online publication date: 6-Aug-2024
https://dl.acm.org/doi/10.14778/3675034.3675046
Zhang JZhang CLi GChai C(2024)PACE: Poisoning Attacks on Learned Cardinality EstimationProceedings of the ACM on Management of Data10.1145/36392922:1(1-27)Online publication date: 26-Mar-2024
https://dl.acm.org/doi/10.1145/3639292
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Index Terms

GeoGauss: Strongly Consistent and Light-Coordinated OLTP for Geo-Replicated SQL Database
1. Information systems
  1. Data management systems
    1. Database management system engines
      1. Parallel and distributed DBMSs
        Relational parallel and distributed DBMSs

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cover image Proceedings of the ACM on Management of Data

Proceedings of the ACM on Management of Data Volume 1, Issue 1

PACMMOD

May 2023

2807 pages

EISSN:2836-6573

DOI:10.1145/3603164

Editor:
Divyakant Agrawal
UC Santa Barbara, United States

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Published: 30 May 2023

Published in PACMMOD Volume 1, Issue 1

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National Social Science Foundation of China
TAL education
National Natural Science Foundation of China
Beijing National Research Center for Information Science and Technology (BNRist)
CCF-Huawei Populus euphratica Innovation Research Funding
Fundamental Research Funds for the Central Universities

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Cited By

Li GTian WZhang JGrosman RLiu ZLi S(2024)GaussDB: A Cloud-Native Multi-Primary Database with Compute-Memory-Storage DisaggregationProceedings of the VLDB Endowment10.14778/3685800.368580617:12(3786-3798)Online publication date: 1-Aug-2024
https://dl.acm.org/doi/10.14778/3685800.3685806
Zhang ZHu HZhou XTu YQian WZhou A(2024)Fast Commitment for Geo-Distributed Transactions via Decentralized Co-CoordinatorsProceedings of the VLDB Endowment10.14778/3675034.367504617:10(2555-2567)Online publication date: 6-Aug-2024
https://dl.acm.org/doi/10.14778/3675034.3675046
Zhang JZhang CLi GChai C(2024)PACE: Poisoning Attacks on Learned Cardinality EstimationProceedings of the ACM on Management of Data10.1145/36392922:1(1-27)Online publication date: 26-Mar-2024
https://dl.acm.org/doi/10.1145/3639292
Memarzia PZhang HHo KGrosman RWang J(2024)GaussDB-Global: A Geographically Distributed Database System2024 IEEE 40th International Conference on Data Engineering (ICDE)10.1109/ICDE60146.2024.00383(5111-5118)Online publication date: 13-May-2024
https://doi.org/10.1109/ICDE60146.2024.00383

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