Title :
Smooth query processing in spatial database
Author :
Gawali, Tukaram ; Wagh, R.B.
Author_Institution :
Comput. Sci. & Eng., R.C. Patel Inst. of Technol., Shirpur, India
Abstract :
Spatial database is a database that is optimized to store and query data. In order to process spatial database a set of functions are needed to process spatial data types called geometry or feature. These set of function are designed by spatial database query framework called Open Geospatial Consortium (OGC). In this paper we have designed Open Geospatial Consortium that will process spatial and non-spatial queries. Open Geospatial Consortium will have simple features specification and set of standards for adding spatial functionality to database systems. The main purpose of this framework is to adapt SQL queries and provide the best result among the available techniques of spatial query processing. The experimental result shows that our framework can process spatial and non-spatial queries with optimal cost. The performance of the queries is measured in the terms of Estimated CPU Cost, Estimated Subtree Cost, Estimated Number of Rows, Estimated Rows Size and Cached plan size.
Keywords :
SQL; query processing; visual databases; OGC; SQL queries; cached plan size; estimated CPU cost; estimated number of rows; estimated rows size; estimated subtree cost; open geospatial consortium; smooth query processing; spatial data types; spatial database query framework; spatial functionality; spatial query processing; Engines; Google; Query processing; Servers; Spatial databases; MBR; R-tree Join; non-spatial query; spatial query;
Conference_Titel :
Computing, Communications and Networking Technologies (ICCCNT),2013 Fourth International Conference on
Conference_Location :
Tiruchengode
Print_ISBN :
978-1-4799-3925-1
DOI :
10.1109/ICCCNT.2013.6726541