Paper Info
Title
Cost-based join processing scheme in a hybrid RDBMS and hive system
Abstract
This paper introduces Honeybee, a hybrid Hive and RDBMS system, and describes experimental results related with the performance of its query processing. According to our experimental results, in the case of join queries, unlike other queries, query processing delay becomes a problem due to an increase of the size of output data. To solve this problem, we define a new scheme IRP. We also show how the previous scheme IHP and the IRP can be combined together by carefully choosing a threshold value to further improve the join query processing performance.
Year
DOI
Venue
2014
10.1109/BIGCOMP.2014.6741428
BigComp
Keywords
Field
DocType
in rdbms processing scheme,relational databases,hive system,hive,query processing delay,honeybee,join query processing performance,cost-based join processing,irp,hybrid rdbms,in hive processing scheme,join queries,rdbms,ihp,hybrid system,threshold value,hadoop,cost-based join processing scheme,query processing
Query optimization,Hash join,Recursive join,Relational database,Computer science,Theoretical computer science,Sort-merge join,Relational database management system,Hybrid system,Database,Processing delay
Conference
ISSN
Citations 
PageRank 
2375-933X
0
0.34
References 
Authors
4
5
Name
Order
Citations
PageRank
Taewon Kim1334.60
Haejin Chung201.01
Wonsuk Choi301.35
Jongmoo Choi48711.95
Joonmo Kim5337.13