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Title:
a fast and high throughput sql query system for big data
Author: Zhu Feng ; Liu Jie ; Xu Lijie
Source: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Conference Name: 13th International Conference on Web Information Systems Engineering, WISE 2012
Conference Date: November 28, 2012 - November 30, 2012
Issued Date: 2012
Conference Place: Paphos, Cyprus
Keyword: Digital storage ; Query languages ; Query processing ; Systems engineering ; Throughput ; World Wide Web
Indexed Type: EI
ISSN: 0302-9743
ISBN: 9783642350627
Department: (1) Technology Center of Software Engineering Institute of Software Chinese Academy of Sciences Beijing 100190 China
Abstract: Relational data query always plays an important role in data analysis. But how to scale out the traditional SQL query system is a challenging problem. In this paper, we introduce a fast, high throughput and scalable system to perform read-only SQL well with the advantage of NoSQL's distributed architecture. We adopt HBase as the storage layer and design a distributed query engine (DQE) collaborating with it to perform SQL queries. Our system also contains distinctive index and cache mechanisms to accelerate query processing. Finally, we evaluate our system with real-world big data crawled from Sina Weibo and it achieves good performance under nineteen representative SQL queries. © 2012 Springer-Verlag.
English Abstract: Relational data query always plays an important role in data analysis. But how to scale out the traditional SQL query system is a challenging problem. In this paper, we introduce a fast, high throughput and scalable system to perform read-only SQL well with the advantage of NoSQL's distributed architecture. We adopt HBase as the storage layer and design a distributed query engine (DQE) collaborating with it to perform SQL queries. Our system also contains distinctive index and cache mechanisms to accelerate query processing. Finally, we evaluate our system with real-world big data crawled from Sina Weibo and it achieves good performance under nineteen representative SQL queries. © 2012 Springer-Verlag.
Language: 英语
Content Type: 会议论文
URI: http://ir.iscas.ac.cn/handle/311060/15889
Appears in Collections:软件所图书馆_会议论文

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Recommended Citation:
Zhu Feng,Liu Jie,Xu Lijie. a fast and high throughput sql query system for big data[C]. 见:13th International Conference on Web Information Systems Engineering, WISE 2012. Paphos, Cyprus. November 28, 2012 - November 30, 2012.
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