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Enhancing Query Support in HBase via an extended Coprocessor Framework Open Access


Other title
HBase, Coprocessors, Endpoints, Hadoop
Type of item
Degree grantor
University of Alberta
Author or creator
Vashishtha, Himanshu
Supervisor and department
Dr. Eleni Stroulia (Computing Science)
Examining committee member and department
Dr. James Hoover (Computing Science)
Dr. Marek Reformat (Electrical and Computer Engineering)
Department of Computing Science

Date accepted
Graduation date
Master of Science
Degree level
Data is growing at an unforeseen rate, with TBs being generated daily. A large part of this data is unstructured in nature. This has pushed the traditional techniques of storing it in relational databases to its limit and new alternatives are necessary. Cloud databases have emerged as a viable candidate and have been gaining popularity due to their high scalability and availability. However, as yet, they lag behind RDBM systems in terms of the support to developers for querying the data. The problem of developing frameworks to support flexibe data queries is a very active area of research. In this work we consider HBase, a popular cloud database, inspired by Google’s BigTable data structure. Relying on the Coprocessor feature of HBase, we have developed a framework that developers can use to implement aggregate functions like row count, max, min, etc. We further extended the existing Coprocessor framework to support Cursor functionality so that a client can incrementally consume the Coprocessor generated result. We demonstrate the effectiveness of our extension by comparatively evaluating it against the original Coprocessor framework with four queries on three different data sets.
License granted by Himanshu Vashishtha ( on 2011-09-26T18:52:09Z (GMT): Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of the above terms. The author reserves all other publication and other rights in association with the copyright in the thesis, and except as herein provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
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