Software Technology Research
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App. Res. of Comp. Printed Article
Vol. 41, 2024 No. 1
226-230,253

Adaptive hot-aware hash index for persistent key-value databases

Wang Nana,b
Wu Yuna,b
a. State Key Laboratory of Public Big Data, b. College of Computer Science & Technology, Guizhou University, Guiyang 550025, China
DOI: 10.19734/j.issn.1001-3695.2023.04.0188

Abstract

In view of the lack of hotspot awareness in existing key-value database storage systems, which leads to poor performance and unreliability under highly tilted workloads, this paper proposed an adaptive hot-spot aware hash index model, which implemented a high-performance hash table based on key summary information. Firstly, the paper used the abstract information of key to replace the key value, compressed the storage space of key, and optimized the data structure of the bucket in the hash table. Secondly, the paper optimized the probe operation of hash table by using the data level parallel technique of CPU and CPU cache line. Finally, in order to solve the problem of extra disk I/O due to the inaccurate comparison of key values caused by summary information, this paper designed an adaptive key scheduling algorithm, which dynamically adjusted the storage location of key values according to the current available memory size, hash index load and access hotspot. Experiments on YCSB simulation datasets show that the adaptive hot-spot aware hash index is up to 1.2 times faster than the most advanced hash table for the same memory usage.

Foundation Support

贵州省科学技术厅资助项目(黔科合基础-ZK［2022］一般119)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.04.0188
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 1
Section: Software Technology Research
Pages: 226-230,253
Serial Number: 1001-3695(2024)01-035-0226-05

Publish History

[2023-07-18] Accepted Paper
[2024-01-05] Printed Article

Cite This Article

王楠, 吴云. 面向持久化键值数据库的自适应热点感知哈希索引 [J]. 计算机应用研究, 2024, 41 (1): 226-230,253. (Wang Nan, Wu Yun. Adaptive hot-aware hash index for persistent key-value databases [J]. Application Research of Computers, 2024, 41 (1): 226-230,253. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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