用于polystore的通用事务管理器

IF 2.6 3区 计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Hiroyuki Yamada, Toshihiro Suzuki, Yuji Ito, Jun Nemoto
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引用次数: 1

摘要

本文介绍了ScalarDB,一个通用的事务管理器,它可以跨多个不同的数据库实现分布式事务。ScalarDB在其数据库抽象之上提供了一个与数据库无关的事务管理器;因此,它可以实现跨各种数据库的事务,而不依赖于底层数据库的事务功能。ScalarDB基于几项研究工作,并进行了扩展,以提供强大的正确性保证(即严格的序列化性)、进一步的性能优化和几个关键的产品化机制。在本文中,我们描述了ScalarDB的设计和实现。我们还提供了评估结果,表明ScalarDB在不牺牲正确性的情况下实现了具有合理性能和近线性可伸缩性的数据库跨事务。最后,我们将分享一些在构建和运行ScalarDB时获得的案例研究和经验教训。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ScalarDB: Universal Transaction Manager for Polystores
This paper presents ScalarDB, a universal transaction manager that achieves distributed transactions across multiple disparate databases. ScalarDB provides a database-agnostic transaction manager on top of its database abstraction; thus, it achieves transactions spanning various databases without depending on the transactional capability of underlying databases. ScalarDB is based on several research works and extended to provide a strong correctness guarantee (i.e., strict serializability), further performance optimizations, and several critical mechanisms for productization. In this paper, we describe the design and implementation of ScalarDB. We also present evaluation results showing that ScalarDB achieves database-spanning transactions with reasonable performance and near-linear scalability without sacrificing correctness. Finally, we share some case studies and lessons learned while building and running ScalarDB.
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来源期刊
Proceedings of the Vldb Endowment
Proceedings of the Vldb Endowment Computer Science-General Computer Science
CiteScore
7.70
自引率
0.00%
发文量
95
期刊介绍: The Proceedings of the VLDB (PVLDB) welcomes original research papers on a broad range of research topics related to all aspects of data management, where systems issues play a significant role, such as data management system technology and information management infrastructures, including their very large scale of experimentation, novel architectures, and demanding applications as well as their underpinning theory. The scope of a submission for PVLDB is also described by the subject areas given below. Moreover, the scope of PVLDB is restricted to scientific areas that are covered by the combined expertise on the submission’s topic of the journal’s editorial board. Finally, the submission’s contributions should build on work already published in data management outlets, e.g., PVLDB, VLDBJ, ACM SIGMOD, IEEE ICDE, EDBT, ACM TODS, IEEE TKDE, and go beyond a syntactic citation.
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