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CirroData: Yet Another SQL-on-Hadoop Data Analytics Engine with High Performance

文献类型：期刊论文

作者Jin, Zheng-Hao1; Shi, Haiyang2; Hu, Ying-Xin1; Zha, Li3,4; Lu, Xiaoyi2
刊名JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY
出版日期2020
卷号35期号:1页码:194-208
关键词CirroData high performance SQL-on-Hadoop online analytical processing (OLAP) Big Data
ISSN号1000-9000
DOI10.1007/s11390-020-9536-z
英文摘要This paper presents CirroData, a high-performance SQL-on-Hadoop system designed for Big Data analytics workloads. As a home-grown enterprise-level online analytical processing (OLAP) system with more than seven-year research and development (R&D) experiences, we share our design details to the community about how to achieve high performance in CirroData. Multiple optimization techniques have been discussed in the paper. The effectiveness and the efficiency of all these techniques have been proved by our customers' daily usage. Benchmark-level studies, as well as several real application case studies of CirroData, have been presented in this paper. Our evaluations show that CirroData can outperform various types of counterpart database systems in the community, such as "Spark+Hive", "Spark+HBase", Impala, DB-X/Y, Greenplum, HAWQ, and others. CirroData can achieve up to 4.99x speedup compared with Greenplum, HAWQ, and Spark in the standard TPC-H queries. Application-level evaluations demonstrate that CirroData outperforms "Spark+Hive" and "Spark+HBase" by up to 8.4x and 38.8x, respectively. In the meantime, CirroData achieves the performance speedups for some application workloads by up to 20x, 100x, 182.5x, 92.6x, and 55.5x as compared with Greenplum, DB-X, Impala, DB-Y, and HAWQ, respectively.
资助项目Strategic Priority Research Program of the Chinese Academy of Sciences of China[XDA19020400]
WOS研究方向Computer Science
语种英语
WOS记录号WOS:000512098800012
出版者SCIENCE PRESS
源URL[http://119.78.100.204/handle/2XEOYT63/14763]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Jin, Zheng-Hao
作者单位1.Business Intelligence Oriental Nat Corp Ltd, Beijing 100102, Peoples R China
2.Ohio State Univ, Dept Comp Sci & Engn, Columbus, OH 43210 USA
3.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China
4.Univ Chinese Acad Sci, Beijing 101408, Peoples R China
推荐引用方式
GB/T 7714		 Jin, Zheng-Hao,Shi, Haiyang,Hu, Ying-Xin,et al. CirroData: Yet Another SQL-on-Hadoop Data Analytics Engine with High Performance[J]. JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY,2020,35(1):194-208.
APA Jin, Zheng-Hao,Shi, Haiyang,Hu, Ying-Xin,Zha, Li,&Lu, Xiaoyi.(2020).CirroData: Yet Another SQL-on-Hadoop Data Analytics Engine with High Performance.JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY,35(1),194-208.
MLA Jin, Zheng-Hao,et al."CirroData: Yet Another SQL-on-Hadoop Data Analytics Engine with High Performance".JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY 35.1(2020):194-208.

入库方式： OAI收割

来源：计算技术研究所

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