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| Auteurs principaux: | , , , , , , , , , , , , , |
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| Format: | Preprint |
| Publié: |
2023
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| Sujets: | |
| Accès en ligne: | https://arxiv.org/abs/2304.09692 |
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| _version_ | 1866916010429251584 |
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| author | Zhou, Weixing Peng, Qi Zhang, Zijie Zhang, Yanfeng Ren, Yang Li, Sihao Fu, Guo Cui, Yulong Li, Qiang Wu, Caiyi Han, Shangjun Wang, Shengyi Li, Guoliang Yu, Ge |
| author_facet | Zhou, Weixing Peng, Qi Zhang, Zijie Zhang, Yanfeng Ren, Yang Li, Sihao Fu, Guo Cui, Yulong Li, Qiang Wu, Caiyi Han, Shangjun Wang, Shengyi Li, Guoliang Yu, Ge |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2304_09692 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | GeoGauss: Strongly Consistent and Light-Coordinated OLTP for Geo-Replicated SQL Database Zhou, Weixing Peng, Qi Zhang, Zijie Zhang, Yanfeng Ren, Yang Li, Sihao Fu, Guo Cui, Yulong Li, Qiang Wu, Caiyi Han, Shangjun Wang, Shengyi Li, Guoliang Yu, Ge Databases 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. |
| title | GeoGauss: Strongly Consistent and Light-Coordinated OLTP for Geo-Replicated SQL Database |
| topic | Databases |
| url | https://arxiv.org/abs/2304.09692 |