Read-safe snapshots: An abort/wait-free serializable read method for read-only transactions on mixed OLTP/OLAP workloads

IF 3 2区 计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Information Systems Pub Date : 2024-04-09 DOI:10.1016/j.is.2024.102385
Takamitsu Shioi , Takashi Kambayashi , Suguru Arakawa , Ryoji Kurosawa , Satoshi Hikida , Haruo Yokota
{"title":"Read-safe snapshots: An abort/wait-free serializable read method for read-only transactions on mixed OLTP/OLAP workloads","authors":"Takamitsu Shioi ,&nbsp;Takashi Kambayashi ,&nbsp;Suguru Arakawa ,&nbsp;Ryoji Kurosawa ,&nbsp;Satoshi Hikida ,&nbsp;Haruo Yokota","doi":"10.1016/j.is.2024.102385","DOIUrl":null,"url":null,"abstract":"<div><p>This paper proposes Read-Safe Snapshots (RSS), a concurrency control method that ensures reading the latest serializable version on multiversion concurrency control (MVCC) for read-only transactions without creating any serializability anomaly, thereby enhancing the transaction processing throughput under mixed workloads of online transactional processing (OLTP) and online analytical processing (OLAP). Ensuring serializability for data consistency between OLTP and OLAP is vital to prevent OLAP from obtaining nonserializable results. Existing serializability methods achieve this consistency by making OLTP or OLAP transactions aborts or waits, but these can lead to throughput degradation when implemented for large read sets in read-only OLAP transactions under mixed workloads of the recent real-time analysis applications. To deal with this problem, we present an RSS construction algorithm that does not affect the conventional OLTP performance and simultaneously avoids producing additional aborts and waits. Moreover, the RSS construction method can be easily applied to the read-only replica of a multinode system as well as a single-node system because no validation for serializability is required. Our experimental findings showed that RSS could prevent read-only OLAP transactions from creating anomaly cycles under a multinode environment of master-copy replication, which led to the achievement of serializability with the low overhead of about 15% compared to baseline OLTP/OLAP throughputs under snapshot isolation (SI). The OLTP throughput under our proposed method in a mixed OLTP/OLAP workload was about 45% better than SafeSnapshots, a serializable snapshot isolation (SSI) equipped with a read-only optimization method, and did not degrade the OLAP throughput.</p></div>","PeriodicalId":50363,"journal":{"name":"Information Systems","volume":null,"pages":null},"PeriodicalIF":3.0000,"publicationDate":"2024-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0306437924000437/pdfft?md5=44919a1e7ab150e46eaabe4c385782e7&pid=1-s2.0-S0306437924000437-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Information Systems","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0306437924000437","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0

Abstract

This paper proposes Read-Safe Snapshots (RSS), a concurrency control method that ensures reading the latest serializable version on multiversion concurrency control (MVCC) for read-only transactions without creating any serializability anomaly, thereby enhancing the transaction processing throughput under mixed workloads of online transactional processing (OLTP) and online analytical processing (OLAP). Ensuring serializability for data consistency between OLTP and OLAP is vital to prevent OLAP from obtaining nonserializable results. Existing serializability methods achieve this consistency by making OLTP or OLAP transactions aborts or waits, but these can lead to throughput degradation when implemented for large read sets in read-only OLAP transactions under mixed workloads of the recent real-time analysis applications. To deal with this problem, we present an RSS construction algorithm that does not affect the conventional OLTP performance and simultaneously avoids producing additional aborts and waits. Moreover, the RSS construction method can be easily applied to the read-only replica of a multinode system as well as a single-node system because no validation for serializability is required. Our experimental findings showed that RSS could prevent read-only OLAP transactions from creating anomaly cycles under a multinode environment of master-copy replication, which led to the achievement of serializability with the low overhead of about 15% compared to baseline OLTP/OLAP throughputs under snapshot isolation (SI). The OLTP throughput under our proposed method in a mixed OLTP/OLAP workload was about 45% better than SafeSnapshots, a serializable snapshot isolation (SSI) equipped with a read-only optimization method, and did not degrade the OLAP throughput.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
安全读取快照适用于混合 OLTP/OLAP 工作负载上只读事务的中止/免等待可序列化读取方法
本文提出了一种并发控制方法--"读安全快照"(Read-Safe Snapshots,RSS),它能确保在多版本并发控制(Multi-iversion concurrency control,MVCC)上读取只读事务的最新可序列化版本,而不会产生任何可序列化异常,从而提高在线事务处理(OLTP)和在线分析处理(OLAP)混合工作负载下的事务处理吞吐量。确保 OLTP 和 OLAP 之间数据一致性的可序列化对于防止 OLAP 获得不可序列化的结果至关重要。现有的可序列化方法通过让 OLTP 或 OLAP 事务中止或等待来实现这种一致性,但在最近的实时分析应用的混合工作负载下,当在只读 OLAP 事务中实施大型读取集时,这些方法会导致吞吐量下降。为了解决这个问题,我们提出了一种 RSS 构建算法,它不会影响传统 OLTP 性能,同时还能避免产生额外的中止和等待。此外,由于不需要序列化验证,RSS 构建方法既可以轻松应用于多节点系统的只读副本,也可以应用于单节点系统。我们的实验结果表明,RSS 可以防止只读 OLAP 事务在主副本复制的多节点环境下产生异常循环,从而实现可序列化,与快照隔离(SI)下的基准 OLTP/OLAP 吞吐量相比,开销仅为 15%。在混合 OLTP/OLAP 工作负载中,采用我们提出的方法的 OLTP 吞吐量比配备了只读优化方法的可序列化快照隔离(SSI)SafeSnapshots 高出约 45%,而且不会降低 OLAP 吞吐量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Information Systems
Information Systems 工程技术-计算机:信息系统
CiteScore
9.40
自引率
2.70%
发文量
112
审稿时长
53 days
期刊介绍: Information systems are the software and hardware systems that support data-intensive applications. The journal Information Systems publishes articles concerning the design and implementation of languages, data models, process models, algorithms, software and hardware for information systems. Subject areas include data management issues as presented in the principal international database conferences (e.g., ACM SIGMOD/PODS, VLDB, ICDE and ICDT/EDBT) as well as data-related issues from the fields of data mining/machine learning, information retrieval coordinated with structured data, internet and cloud data management, business process management, web semantics, visual and audio information systems, scientific computing, and data science. Implementation papers having to do with massively parallel data management, fault tolerance in practice, and special purpose hardware for data-intensive systems are also welcome. Manuscripts from application domains, such as urban informatics, social and natural science, and Internet of Things, are also welcome. All papers should highlight innovative solutions to data management problems such as new data models, performance enhancements, and show how those innovations contribute to the goals of the application.
期刊最新文献
Effective data exploration through clustering of local attributive explanations Data Lakehouse: A survey and experimental study Temporal graph processing in modern memory hierarchies Bridging reading and mapping: The role of reading annotations in facilitating feedback while concept mapping A universal approach for simplified redundancy-aware cross-model querying
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1