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Software Technology Research
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3801-3805,3810

MC-OLA:multi-table join online aggregation based on Markov chain

Shi Yingjie1
Du Fang2
1. School of Information Engineering, Beijing Institute of Fashion Technology, Beijing 100029, China
2. School of Information Engineering, Ningxia University, Yinchuan 750021, China

Abstract

Multi-table join is one of the most important query operations in the field of big data analysis, however, its implementation is expensive, which affects the timeliness of the big data analysis results. Online aggregation provides feedback of statistical significance far before the query finishes, which is of great significance. The existing work on multi-table join online aggregation conducted uniform sampling on every joining table, which results in low join result yield and estimation inaccuracy on grouping join queries. To solve this problem, this paper proposed the multi-table join online aggregation technique based on Markov chain, which transformed the multi-table join process into the random walk on Markov chain, constructed stratified sample on the walk start strata after determining the join order, and designed the corresponding sampling mechanism and estimation algorithm. The experiment was conducted on the online Hadoop platform, and the results demonstrate that the response time of technique outperforms the existing algorithms, and it owns efficient scalability.

Foundation Support

国家自然科学基金资助项目(61502279)
北京市教委科技计划资助项目(KM201710012008)
北京服装学院高水平教师队伍建设专项资金资助项目(BIFTQG201803)
北京市服装产业数字化工程技术研究中心开放课题项目(KJCX1902-30299/009)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.07.0384
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 12
Section: Software Technology Research
Pages: 3801-3805,3810
Serial Number: 1001-3695(2019)12-061-3801-05

Publish History

[2019-12-05] Printed Article

Cite This Article

史英杰, 杜方. MC-OLA:基于马尔可夫链的多表连接在线聚集技术 [J]. 计算机应用研究, 2019, 36 (12): 3801-3805,3810. (Shi Yingjie, Du Fang. MC-OLA:multi-table join online aggregation based on Markov chain [J]. Application Research of Computers, 2019, 36 (12): 3801-3805,3810. )

About the Journal

  • Application Research of Computers Monthly Journal
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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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