Proceedings of the 2018 Joint International Advanced Engineering and Technology Research Conference (JIAET 2018)

Region Clustering Based Multiple Query Optimization

Authors
Pei Xuan Fei, Cai Chen, Yi Liang
Corresponding Author
Pei Xuan Fei
Available Online March 2018.
DOI
10.2991/jiaet-18.2018.2How to use a DOI?
Keywords
multiple queries optimization, query sharing, region clustering
Abstract

In order to solve the problem of low efficiency in dealing with large numbers of queries in Hive, we propose a multi-queries region clustering (mqrc) method to improve the overall performance of Hive. By clustering the query set, we divide the query with high similarity into a set. Each group generates a preprocessing job, which divides the complete query region into multiple small query regions and reduces the search space of queries. The experimental results show that, when dealing with a large number of queries, the query execution efficiency is much better than that of traditional methods. It can reduce the overhead of I/O and shorten the time of queries.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2018 Joint International Advanced Engineering and Technology Research Conference (JIAET 2018)
Series
Advances in Engineering Research
Publication Date
March 2018
ISBN
978-94-6252-507-8
ISSN
2352-5401
DOI
10.2991/jiaet-18.2018.2How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Pei Xuan Fei
AU  - Cai Chen
AU  - Yi Liang
PY  - 2018/03
DA  - 2018/03
TI  - Region Clustering Based Multiple Query Optimization
BT  - Proceedings of the 2018 Joint International Advanced Engineering and Technology Research Conference (JIAET 2018)
PB  - Atlantis Press
SP  - 6
EP  - 12
SN  - 2352-5401
UR  - https://doi.org/10.2991/jiaet-18.2018.2
DO  - 10.2991/jiaet-18.2018.2
ID  - Fei2018/03
ER  -