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KIAM Preprint  14, Moscow, 2015
Authors: Kovalenko V. N., Kovalenko E. I.
Query optimization in a system of virtual database mass integration
Abstract:
The problem under consideration optimization of massive search queries which obtain data from a set of independent relational databases. Experimental estimations of the most significant methods for massive queries: transformations of the logical plan and parallel execution are given. Also, we give conditions of gaining benefits from use of two servers for parallel execution of the JOIN operator.
Keywords:
database integration, query optimization, parallel query processing, intraoperator parallelism
Publication language: russian,  pages: 26
Research direction:
Programming, parallel computing, multimedia
Russian source text:
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About authors:
  • Kovalenko Victor Nikolaevich,  orcid.org/0000-0002-8548-8206KIAM RAS
  • Kovalenko Evgeniia Ivanovna,  orcid.org/0000-0003-3838-4479KIAM RAS