Publication | Closed Access
Integrating semi-join-reducers into state-of-the-art query processors
45
Citations
25
References
2002
Year
Unknown Venue
Cluster ComputingEngineeringSemi-join ReducersJoin RootComputer ArchitectureSemantic WebInformation RetrievalData ScienceManagementData IntegrationAccess RootParallel ComputingData ManagementParallel DatabaseVery Large DatabaseKnowledge DiscoveryComputer EngineeringComputer ScienceDistributed Query ProcessingDatabase TechnologyQuery OptimizationCloud ComputingParallel ProgrammingState-of-the-art Query ProcessorsApproximate Query Answering
Semi-join reducers were introduced in the late 1970s as a means to reduce the communication costs of distributed database systems. Subsequent work in the 1980s showed, however, that semi-join reducers are rarely beneficial for the distributed systems of that time. This paper shows that semi-join reducers can indeed be beneficial in modern client-server or middleware systems - either to reduce communication costs or to better exploit all the resources of a system. Furthermore, we present and evaluate alternative ways to extend state-of-the-art (dynamic programming) query optimizers in order to generate good query plans with semi-join reducers. We present two variants, called Access Root and Join Root, which differ in their implementation complexity, running times and the quality of the plans they produce. We present the results of performance experiments that compare both variants with a traditional query optimizer.
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