Native Multidimensional Indexing in Relational Databases

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F08%3A00206104" target="_blank" >RIV/00216208:11320/08:00206104 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Native Multidimensional Indexing in Relational Databases
Original language description
Annotation in the original language is: In existing database systems there is a strong need for searching data according to many attributes. In commercial database platforms, the standard search over multiple attributes is provided by B$^{+}$-tree (or it's variants) with compound keys. On the other hand, such systems provide also multidimensional indexing, however, just for spatial purposes (such as GIS or CAD applications) and use special data types and querying syntax. In this paper we propose a native multidimensional method for indexing tables with simple attributes, such that multi-attribute queries can be processed (with standard SQL queries) more efficiently than by simple B$^{+}$-tree with compound keys. For implementation we have used the PostgreSQL and R-tree-based index, though our method is applicable to any other multidimensional indexing method. With this combination we outperformed commercial platforms (Oracle, SQL Server) by an order of magnitude in the number of access
Czech name
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Czech description
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Project
<a href="/en/project/GA201%2F06%2F0756" target="_blank" >GA201/06/0756: Development of a native storage for XML data</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year
2008
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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