Publication | Closed Access
Automated generation of materialized views in Oracle
28
Citations
21
References
2020
Year
EngineeringSemantic WebOracle RdbmsInformation RetrievalData ScienceDatabase SystemManagementData IntegrationBig DataData ManagementHeterogeneous Database SystemVery Large DatabaseComputer ScienceDatabase TheoryDatabase TechnologyQuery OptimizationAutomated ReasoningMaterialized ViewsAutomated GenerationRight SetData Modeling
Automated generation of a right set of materialized views is a challenging task. It is a highly desirable feature for autonomous databases. The selection of materialized views must be based on cost and verifiable in the actual database environment. This paper describes an automated system that generates, selects, verifies, and maintains materialized views in the Oracle RDBMS; it presents a novel technique, called the extended covering sub-expression algorithm, for the automated generation of materialized views. An extensive set of experiments is described that demonstrates the feasibility and efficiency of this approach. This system has been fully implemented and is going to be deployed on the Oracle Autonomous Database on the Cloud.
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