Exploiting Type and Space in a Main Memory Query Engine

Thomas SchwarzMatthias GrossmannDaniela NicklasBernhard Mitschang

More and more spatial data is accessible over the web or through portals of wireless service providers. In this context the main selection criteria for the data are the type of the requested data objects and their position in the real world. Integration and performance issues are challenged by the need to process ad hoc queries in an interactive fashion. In this paper we investigate how a main memory query engine can be used to meet these requirements. It has the added benefit of being easily deployable to many components in a large-scale data integration system. Hence, we analyze how such a query engine can best exploit the query characteristics by employing an index structure that leverages spatial and type dimensions.

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