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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
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.
database integration, query optimization, parallel query processing, intraoperator parallelism
Publication language: russian,  pages: 26
Research direction:
Programming, parallel computing, multimedia
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About authors:
  • Kovalenko Victor Nikolaevich, RAS
  • Kovalenko Evgeniia Ivanovna, RAS