A Design Space Exploration and Evaluation for Main-Memory Hash Joins in Storage Class Memory

Wentao Huang, Yunhong Ji, Xuan Zhou, Bin He, K. Tan
{"title":"A Design Space Exploration and Evaluation for Main-Memory Hash Joins in Storage Class Memory","authors":"Wentao Huang, Yunhong Ji, Xuan Zhou, Bin He, K. Tan","doi":"10.14778/3583140.3583144","DOIUrl":null,"url":null,"abstract":"In this paper, we seek to perform a rigorous experimental study of main-memory hash joins in storage class memory (SCM). In particular, we perform a design space exploration in real SCM for two state-of-the-art join algorithms: partitioned hash join (PHJ) and non-partitioned hash join (NPHJ), and identify the most crucial factors to implement an SCM-friendly join. Moreover, we present a rigorous evaluation with a broad spectrum of workloads for both joins and provide an in-depth analysis for choosing the most suitable algorithm in real SCM environment. With the most extensive experimental analysis up-to-date, we maintain that although there is no one universal winner in all scenarios, PHJ is generally superior to NPHJ in real SCM.","PeriodicalId":20467,"journal":{"name":"Proc. VLDB Endow.","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proc. VLDB Endow.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14778/3583140.3583144","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

In this paper, we seek to perform a rigorous experimental study of main-memory hash joins in storage class memory (SCM). In particular, we perform a design space exploration in real SCM for two state-of-the-art join algorithms: partitioned hash join (PHJ) and non-partitioned hash join (NPHJ), and identify the most crucial factors to implement an SCM-friendly join. Moreover, we present a rigorous evaluation with a broad spectrum of workloads for both joins and provide an in-depth analysis for choosing the most suitable algorithm in real SCM environment. With the most extensive experimental analysis up-to-date, we maintain that although there is no one universal winner in all scenarios, PHJ is generally superior to NPHJ in real SCM.
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
存储类内存中主存哈希连接的设计空间探索与评价
在本文中,我们试图对存储类内存(SCM)中的主存哈希连接进行严格的实验研究。特别是,我们在实际SCM中对两种最先进的连接算法:分区哈希连接(PHJ)和非分区哈希连接(NPHJ)进行了设计空间探索,并确定了实现SCM友好连接的最关键因素。此外,我们对两个连接的广泛工作负载进行了严格的评估,并为在实际SCM环境中选择最合适的算法提供了深入的分析。通过最新的最广泛的实验分析,我们认为,尽管在所有情况下没有一个普遍的赢家,但在实际的SCM中,PHJ通常优于NPHJ。
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
自引率
0.00%
发文量
0
期刊最新文献
Cryptographically Secure Private Record Linkage Using Locality-Sensitive Hashing Utility-aware Payment Channel Network Rebalance Relational Query Synthesis ⋈ Decision Tree Learning Billion-Scale Bipartite Graph Embedding: A Global-Local Induced Approach Query Refinement for Diversity Constraint Satisfaction
×
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