Software Technology Research
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1419-1423

Optimization of compression strategy selection method based on classification of HBase data

Sun Jingchao
Lu Tianliang
School of Information Technology & Network Security, People's Public Security University of China, Beijing 100076, China

Abstract

In order to solve the problem of high learning cost and low compression efficiency caused by large data dispersion, small classification granularity and the defect of applied classification algorithm encountered in the compression process of the existing column-based database compression strategy, this paper designed a sorted-based hybrid compression strategy of column-based compression and sector-based compression. Firstly, it designed a method to sort the data in each column according to the characteristics of HBase to strengthen the data compaction. Secondly, according to the characteristics of the data, it applied the hybrid column-based compression strategy and the hybrid sector-based compression strategy respectively to recommend the compression algorithm. This paper conducted experiments on TPC-DS standard data and the results demonstrate that the proposed strategy has excellent performance in both compression rate and compression/decompression time.

Foundation Support

国家重点研发计划“网络空间安全”重点专项资助项目(2017YFB0802804)
国家自然科学基金资助项目(61602489)
赛尔网络下一代网络技术创新项目(NGII20160405)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.12.0841
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 5
Section: Software Technology Research
Pages: 1419-1423
Serial Number: 1001-3695(2019)05-029-1419-05

Publish History

[2019-05-05] Printed Article

Cite This Article

孙靖超, 芦天亮. 基于HBase的列存储压缩策略的选择优化 [J]. 计算机应用研究, 2019, 36 (5): 1419-1423. (Sun Jingchao, Lu Tianliang. Optimization of compression strategy selection method based on classification of HBase data [J]. Application Research of Computers, 2019, 36 (5): 1419-1423. )

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.

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