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4 octobre 2015
- handle: 10670/1.yzfokq
- hal: hal-01466231
- doi: 10.1007/978-3-319-24315-3_30
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info:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-319-24315-3_30
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Natural science Sciences Science of science Large data sets Data sets, LargeCiter ce document
Yanchen Liu et al., « DCODE: A Distributed Column-Oriented Database Engine for Big Data Analytics », HAL-SHS : sciences de l'information, de la communication et des bibliothèques, ID : 10.1007/978-3-319-24315-3_30
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Résumé
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.