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DCODE: A Distributed Column-Oriented Database Engine for Big Data Analytics

Abstract : We propose a novel Distributed Column-Oriented Database Engine (DCODE) for efficient analytic query processing that combines advantages of both column storage and parallel processing. In DCODE, we enhance an existing open-source columnar database engine by adding the capability for handling queries over a cluster. Specifically, we studied parallel query execution and optimization techniques such as horizontal partitioning, exchange operator allocation, query operator scheduling, operator push-down, and materialization strategies, etc. The experiments over the TPC-H dataset verified the effectiveness of our system.
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Submitted on : Monday, February 13, 2017 - 2:31:35 PM
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Yanchen Liu, Fang Cao, Masood Mortazavi, Mengmeng Chen, Ning Yan, et al.. DCODE: A Distributed Column-Oriented Database Engine for Big Data Analytics. 3rd International Conference on Information and Communication Technology-EurAsia (ICT-EURASIA) and 9th International Conference on Research and Practical Issues of Enterprise Information Systems (CONFENIS), Oct 2015, Daejon, South Korea. pp.289-299, ⟨10.1007/978-3-319-24315-3_30⟩. ⟨hal-01466231⟩



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