Dynamic approach of Range Aggregate queries in Big Data environment
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 2
Abstract
Range-aggregate queries are to apply a certain aggregate function on all tuples within given query ranges. Existing approaches to range-aggregate queries are insufficient to quickly provide accurate results in big data environments. In this paper, we propose FastRAQ a fast approach to range-aggregate queries in big data environments. FastRAQ approach on the Linux platform, and evaluate its performance with about 10 billions data records. Experimental results demonstrate that FastRAQ can solve the 1: n format Range aggregate queries problem, i.e., there is one aggregation column and n index columns in a record. We plan to investigate how our solution can be extended to the case of m : n format problem, i.e., there are m aggregation columns and n index columns in a same record. In this range aggregation, insertions of dynamic environments. With the geometric aggregation queries expressions.
Authors and Affiliations
L. Pravin Kumar, Ramesh Krishnan
Keywords
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