Abstract
Currently, cloud databases serve as mainstream data storage mechanism for unstructured data, primarily because of their high scalability and ease of availability. However, as yet, they lag behind RDBMs in terms of their support to developers for querying the data. The problem of developing frameworks to support flexible data queries is a very active area of research. In this work we consider HBase, a popular cloud database, inspired by Google’s BigTable. Relying on the recent 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 a 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 existing Scanner API with four queries on three different data sets.
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Vashishtha, H., Stroulia, E. (2011). Enhancing Query Support in HBase via an Extended Coprocessors Framework. In: Abramowicz, W., Llorente, I.M., Surridge, M., Zisman, A., Vayssière, J. (eds) Towards a Service-Based Internet. ServiceWave 2011. Lecture Notes in Computer Science, vol 6994. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24755-2_7
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DOI: https://doi.org/10.1007/978-3-642-24755-2_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24754-5
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