Query grouping-based multi-query optimization framework for interactive SQL query engines on Hadoop-Reference-Cited by-同舟云学术

Query grouping-based multi-query optimization framework for interactive SQL query engines on Hadoop

Author:

Chen Ling¹²^ORCID,Lin Yan¹,Wang Jingchang³,Huang Heqing¹,Chen Donghui¹,Wu Yong³

Affiliation:

1. College of Computer Science and Technology; Zhejiang University; Hangzhou 310027 China

2. Alibaba-Zhejiang University Joint Institute of Frontier Technologies; Hangzhou 310027 China

3. Zhejiang Hongcheng Computer Systems Co, Ltd; Hangzhou 310053 China

Funder

China Knowledge Centre for Engineering Sciences and Technology

National Natural Science Foundation of China

Science and Technology Department of Zhejiang Province

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

Reference41 articles.

2. Bittorf MK Bobrovytsky T Erickson CC Impala: A modern, open-source SQL engine for Hadoop 2015 Monterey, CA

5. Multiple-query optimization;Sellis;ACM Trans Database Syst,1988

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