Lightweight locking for main memory database systems

Author:

Ren Kun1,Thomson Alexander2,Abadi Daniel J.2

Affiliation:

1. Northwestern Polytechnical University, China and Yale University

2. Yale University

Abstract

Locking is widely used as a concurrency control mechanism in database systems. As more OLTP databases are stored mostly or entirely in memory, transactional throughput is less and less limited by disk IO, and lock managers increasingly become performance bottlenecks. In this paper, we introduce very lightweight locking (VLL), an alternative approach to pessimistic concurrency control for main-memory database systems that avoids almost all overhead associated with traditional lock manager operations. We also propose a protocol called selective contention analysis (SCA), which enables systems implementing VLL to achieve high transactional throughput under high contention workloads. We implement these protocols both in a traditional single-machine multi-core database server setting and in a distributed database where data is partitioned across many commodity machines in a shared-nothing cluster. Our experiments show that VLL dramatically reduces locking overhead and thereby increases transactional throughput in both settings.

Publisher

VLDB Endowment

Subject

General Earth and Planetary Sciences,Water Science and Technology,Geography, Planning and Development

Cited by 48 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Dodo: A Scalable Optimistic Deterministic Concurrency Control Protocol;2023

2. Robustness Against Read Committed;Proceedings of the 41st ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems;2022-06-12

3. Improving scalability of database systems by reshaping user parallel I/O;Proceedings of the Seventeenth European Conference on Computer Systems;2022-03-28

4. Efficient and stable quorum-based log replication and replay for modern cluster-databases;Frontiers of Computer Science;2022-01-09

5. Robustness against read committed for transaction templates;Proceedings of the VLDB Endowment;2021-07

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3