SAHA: A String Adaptive Hash Table for Analytical Databases

doi:10.3390/app10061915

	SAHA: A String Adaptive Hash Table for Analytical Databases
	Zheng, Tianqi 1,2; Zhang, Zhibin 1; Cheng, Xueqi 1,2
	2020-03-01
发表期刊	APPLIED SCIENCES-BASEL
卷号	10 期号:6 页码:18
摘要	Hash tables are the fundamental data structure for analytical database workloads, such as aggregation, joining, set filtering and records deduplication. The performance aspects of hash tables differ drastically with respect to what kind of data are being processed or how many inserts, lookups and deletes are constructed. In this paper, we address some common use cases of hash tables: aggregating and joining over arbitrary string data. We designed a new hash table, SAHA, which is tightly integrated with modern analytical databases and optimized for string data with the following advantages: (1) it inlines short strings and saves hash values for long strings only; (2) it uses special memory loading techniques to do quick dispatching and hashing computations; and (3) it utilizes vectorized processing to batch hashing operations. Our evaluation results reveal that SAHA outperforms state-of-the-art hash tables by one to five times in analytical workloads, including Google's SwissTable and Facebook's F14Table. It has been merged into the ClickHouse database and shows promising results in production.
关键词	hash table analytical database string data
DOI	10.3390/app10061915
收录类别	SCI
语种	英语
资助项目	Strategic Priority Research Program of the Chinese Academy of Sciences[XDA19020400]
WOS研究方向	Chemistry ; Engineering ; Materials Science ; Physics
WOS类目	Chemistry, Multidisciplinary ; Engineering, Multidisciplinary ; Materials Science, Multidisciplinary ; Physics, Applied
WOS记录号	WOS:000529252800016
出版者	MDPI
引用统计	被引频次：5[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/15030
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Zheng, Tianqi
作者单位	1.Chinese Acad Sci, Inst Comp Technol, CAS Key Lab Network Data Sci & Technol, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Zheng, Tianqi,Zhang, Zhibin,Cheng, Xueqi. SAHA: A String Adaptive Hash Table for Analytical Databases[J]. APPLIED SCIENCES-BASEL,2020,10(6):18.
APA	Zheng, Tianqi,Zhang, Zhibin,&Cheng, Xueqi.(2020).SAHA: A String Adaptive Hash Table for Analytical Databases.APPLIED SCIENCES-BASEL,10(6),18.
MLA	Zheng, Tianqi,et al."SAHA: A String Adaptive Hash Table for Analytical Databases".APPLIED SCIENCES-BASEL 10.6(2020):18.