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Multiple query optimization approach based on hive+1.

Authors :
Han, Ying
Yu, Xiao Qiang
Li, Xu
Yao, Chun Long
Zhao, Xin
Patnaik, Srikanta
Source :
Journal of Intelligent & Fuzzy Systems. 2018, Vol. 35 Issue 1, p47-53. 7p.
Publication Year :
2018

Abstract

To improve the processing efficiency on batch query for MapReduce, a multiple query optimization approach based on Hive+ is proposed to reduce the number of MapReduce tasks on multiple query, decrease the start time of MapReduce task and the overhead of fault tolerance, improve the query efficiency. TPC-H benchmark test set is selected as the use cases to experiment on Hive-0.12. The experiment shows that the processing efficiency of batch query is effectively improved. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10641246
Volume :
35
Issue :
1
Database :
Academic Search Index
Journal :
Journal of Intelligent & Fuzzy Systems
Publication Type :
Academic Journal
Accession number :
131004739
Full Text :
https://doi.org/10.3233/JIFS-169565